lofyerandfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
71db82393a
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
5278 lines
292 KiB
HTML
5278 lines
292 KiB
HTML
<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>华二临港 - 课程实施监测数据分析报告</title>
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<script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/echarts-gl@2/dist/echarts-gl.min.js"></script>
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<style>
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:root {
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||
--primary: #1a56db;
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||
--primary-light: #e8effc;
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||
--success: #059669;
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||
--success-light: #d1fae5;
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--warning: #d97706;
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||
--warning-light: #fef3c7;
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||
--danger: #dc2626;
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||
--danger-light: #fee2e2;
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||
--gray-50: #f9fafb;
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--gray-100: #f3f4f6;
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--gray-200: #e5e7eb;
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--gray-300: #d1d5db;
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--gray-500: #6b7280;
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--gray-700: #374151;
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--gray-900: #111827;
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "PingFang SC", "Hiragino Sans GB",
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||
"Microsoft YaHei", "Helvetica Neue", Helvetica, Arial, sans-serif;
|
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color: var(--gray-900);
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||
background: var(--gray-50);
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||
line-height: 1.8;
|
||
font-size: 15px;
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||
}
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||
|
||
.report-container {
|
||
max-width: 1100px;
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margin: 0 auto;
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background: white;
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||
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
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||
}
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|
||
/* 封面 */
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.cover {
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text-align: center;
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padding: 80px 60px;
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||
background: linear-gradient(135deg, #1e3a5f 0%, #2563eb 100%);
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color: white;
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||
}
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.cover h1 { font-size: 32px; margin-bottom: 16px; font-weight: 700; }
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||
.cover .subtitle { font-size: 18px; opacity: 0.9; margin-bottom: 40px; }
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||
.cover .school-name { font-size: 42px; font-weight: 700; margin: 30px 0; letter-spacing: 4px; }
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||
.cover .date { font-size: 16px; opacity: 0.7; margin-top: 40px; }
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||
|
||
/* 正文 */
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||
.section { padding: 40px 60px; page-break-before: auto; }
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||
.section h1 {
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||
font-size: 26px; color: var(--primary); margin-bottom: 24px;
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||
padding-bottom: 12px; border-bottom: 3px solid var(--primary);
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}
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.section h2 { font-size: 22px; color: var(--gray-900); margin: 28px 0 16px; }
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.section h3 { font-size: 18px; color: var(--gray-700); margin: 20px 0 12px; }
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.section p { margin: 10px 0; text-indent: 2em; text-align: justify; }
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||
|
||
/* 得分卡片 */
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||
.score-cards {
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||
display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 16px; margin: 20px 0;
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||
}
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||
.score-card {
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||
background: var(--gray-50); border-radius: 12px; padding: 20px;
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text-align: center; border: 1px solid var(--gray-200);
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||
transition: transform 0.2s, box-shadow 0.2s;
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||
}
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||
.score-card:hover { transform: translateY(-2px); box-shadow: 0 4px 12px rgba(0,0,0,0.08); }
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||
.score-card .label { font-size: 13px; color: var(--gray-500); margin-bottom: 8px; }
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||
.score-card .value { font-size: 32px; font-weight: 700; color: var(--primary); }
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||
.score-card .diff { font-size: 13px; margin-top: 4px; }
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||
.score-card .diff.positive { color: var(--success); }
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||
.score-card .diff.negative { color: var(--danger); }
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||
|
||
/* 图表容器 */
|
||
.chart-box {
|
||
width: 100%; margin: 20px 0; background: white;
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||
border: 1px solid var(--gray-200); border-radius: 8px; padding: 16px;
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||
}
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||
.chart-box .chart { width: 100%; height: 400px; }
|
||
.chart-box .chart-title {
|
||
font-size: 14px; color: var(--gray-500); text-align: center;
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||
margin-top: 8px; font-weight: 500;
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||
}
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||
|
||
/* 双图并排 */
|
||
.chart-row {
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||
display: grid; grid-template-columns: 1fr 1fr; gap: 20px; margin: 20px 0;
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}
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||
.chart-row .chart-box { margin: 0; }
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.chart-row .chart-box .chart { height: 350px; }
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/* 三图并排 */
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.chart-row-3 {
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display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 16px; margin: 20px 0;
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||
}
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.chart-row-3 .chart-box { margin: 0; }
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.chart-row-3 .chart-box .chart { height: 300px; }
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|
||
/* ====== 金字塔水平指示器 ====== */
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||
.pyramid-container {
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||
display: flex; flex-direction: column; align-items: center;
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||
margin: 16px 0; padding: 20px;
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||
}
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||
.pyramid-row {
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||
position: relative;
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||
display: flex; align-items: center; justify-content: center;
|
||
margin: 3px 0;
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||
width: 100%;
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||
}
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||
.pyramid-block {
|
||
height: 38px; display: flex; align-items: center; justify-content: center;
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||
font-weight: 700; font-size: 13px; color: white;
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||
border-radius: 4px; transition: all 0.3s;
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||
letter-spacing: 1px;
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||
}
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||
.pyramid-block.lv4 { width: 140px; background: linear-gradient(135deg, #059669, #10b981); }
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||
.pyramid-block.lv3 { width: 200px; background: linear-gradient(135deg, #2563eb, #3b82f6); }
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.pyramid-block.lv2 { width: 260px; background: linear-gradient(135deg, #d97706, #f59e0b); }
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||
.pyramid-block.lv1 { width: 320px; background: linear-gradient(135deg, #dc2626, #ef4444); }
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||
.pyramid-block.active {
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||
box-shadow: 0 0 0 3px white, 0 0 0 6px var(--primary);
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||
transform: scale(1.05); z-index: 2;
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||
}
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||
.pyramid-block.dimmed { opacity: 0.35; }
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||
/* 标注用绝对定位，不影响色块居中 */
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||
.pyramid-label {
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||
position: absolute;
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||
left: calc(50% + 175px); /* 最宽块320/2=160，再留15px间距 */
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font-size: 13px; font-weight: 700;
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color: var(--primary); white-space: nowrap;
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||
animation: arrowPulse 1.5s infinite;
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||
}
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.pyramid-label .arrow { margin-right: 4px; }
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@keyframes arrowPulse {
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||
0%, 100% { opacity: 1; transform: translateX(0); }
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||
50% { opacity: 0.6; transform: translateX(4px); }
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}
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||
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||
/* 水平指示器（行内） */
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||
.level-indicator {
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||
display: inline-flex; align-items: center; gap: 6px;
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||
padding: 4px 14px; border-radius: 20px; font-size: 14px; font-weight: 600;
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||
}
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||
.level-indicator.level-4 { background: #d1fae5; color: #065f46; }
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||
.level-indicator.level-3 { background: #dbeafe; color: #1e40af; }
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||
.level-indicator.level-2 { background: #fef3c7; color: #92400e; }
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||
.level-indicator.level-1 { background: #fee2e2; color: #991b1b; }
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||
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||
/* 水平对比表 */
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||
.level-table { width: 100%; border-collapse: collapse; margin: 16px 0; font-size: 14px; }
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||
.level-table th {
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||
background: var(--primary); color: white; padding: 10px 14px;
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||
text-align: center; font-weight: 600;
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||
}
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||
.level-table td { padding: 10px 14px; text-align: center; border: 1px solid var(--gray-200); font-weight: 600; }
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||
.level-table .lv4 { background: #d1fae5; color: #065f46; }
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||
.level-table .lv3 { background: #dbeafe; color: #1e40af; }
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||
.level-table .lv2 { background: #fef3c7; color: #92400e; }
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||
.level-table .lv1 { background: #fee2e2; color: #991b1b; }
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||
|
||
/* 表格 */
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||
.data-table { width: 100%; border-collapse: collapse; margin: 16px 0; font-size: 14px; }
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||
.data-table th {
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||
background: var(--primary); color: white; padding: 10px 14px;
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||
text-align: center; font-weight: 600;
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||
}
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||
.data-table td { padding: 10px 14px; text-align: center; border-bottom: 1px solid var(--gray-200); }
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||
.data-table tr:nth-child(even) { background: var(--gray-50); }
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||
.data-table tr:hover { background: var(--primary-light); }
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||
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||
/* LLM分析区域 */
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||
.llm-analysis {
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||
background: var(--gray-50); border-left: 4px solid var(--primary);
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||
padding: 20px 24px; margin: 16px 0; border-radius: 0 8px 8px 0;
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||
}
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||
.llm-analysis p { text-indent: 2em; margin: 8px 0; }
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||
.llm-analysis p.action-title {
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||
text-indent: 0; margin: 18px 0 4px 0; padding: 6px 0;
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||
border-bottom: 1px solid var(--gray-200);
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||
font-size: 15.5px;
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||
}
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||
.llm-analysis p.action-title:first-child { margin-top: 0; }
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.llm-analysis h3 { color: var(--primary); margin: 12px 0 8px; }
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||
.llm-analysis h4 { color: var(--gray-700); margin: 10px 0 6px; }
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||
.llm-analysis ul, .llm-analysis ol { margin: 8px 0 8px 2em; }
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||
.llm-analysis li { margin: 4px 0; }
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||
.llm-analysis strong { color: var(--primary); }
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||
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||
/* 图表解读说明（轻量版，紧贴图表下方） */
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||
.chart-caption {
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||
background: linear-gradient(135deg, #f0f4ff 0%, #f8fafc 100%);
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||
border: 1px solid var(--gray-200);
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||
border-top: none;
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||
padding: 12px 18px;
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||
margin: -4px 0 20px 0;
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||
border-radius: 0 0 8px 8px;
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||
font-size: 13.5px;
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||
color: var(--gray-700);
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||
line-height: 1.7;
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||
}
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.chart-caption::before {
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||
content: '▎';
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||
color: var(--primary);
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||
font-weight: 700;
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||
margin-right: 6px;
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||
}
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||
.chart-caption p {
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||
display: inline;
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||
margin: 0;
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||
text-indent: 0;
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||
}
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||
|
||
/* 分隔线 */
|
||
.section-divider {
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||
border: none; border-top: 2px dashed var(--gray-200);
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||
margin: 30px 0;
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||
}
|
||
|
||
/* 类型标签 */
|
||
.type-badge {
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||
display: inline-flex; align-items: center; gap: 6px;
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||
padding: 6px 16px; border-radius: 20px; font-size: 14px; font-weight: 600;
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||
}
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||
.type-badge.good {
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||
background: linear-gradient(135deg, #d1fae5, #a7f3d0);
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||
color: #065f46; border: 1px solid #6ee7b7;
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||
}
|
||
.type-badge.neutral {
|
||
background: linear-gradient(135deg, #e0e7ff, #c7d2fe);
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||
color: #3730a3; border: 1px solid #a5b4fc;
|
||
}
|
||
.type-badge.weak {
|
||
background: linear-gradient(135deg, #fef3c7, #fde68a);
|
||
color: #92400e; border: 1px solid #fcd34d;
|
||
}
|
||
|
||
/* ====== 右侧目录导航（极简现代风） ====== */
|
||
.toc-nav {
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||
position: fixed;
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||
top: 50%; right: 20px;
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||
transform: translateY(-50%);
|
||
width: 180px;
|
||
max-height: 75vh;
|
||
overflow-y: auto;
|
||
background: rgba(255,255,255,0.85);
|
||
backdrop-filter: blur(12px);
|
||
-webkit-backdrop-filter: blur(12px);
|
||
border-radius: 12px;
|
||
padding: 14px 0;
|
||
z-index: 1000;
|
||
opacity: 0.45;
|
||
transition: opacity 0.3s, box-shadow 0.3s;
|
||
}
|
||
.toc-nav:hover {
|
||
opacity: 1;
|
||
box-shadow: 0 8px 32px rgba(0,0,0,0.08);
|
||
}
|
||
.toc-nav::-webkit-scrollbar { width: 0; }
|
||
|
||
/* 左侧细线轨道 */
|
||
.toc-track {
|
||
position: relative;
|
||
padding-left: 2px;
|
||
}
|
||
.toc-track::before {
|
||
content: '';
|
||
position: absolute; left: 14px; top: 0; bottom: 0;
|
||
width: 1.5px;
|
||
background: var(--gray-200);
|
||
}
|
||
|
||
.toc-item {
|
||
display: block;
|
||
position: relative;
|
||
padding: 4px 14px 4px 28px;
|
||
color: var(--gray-500);
|
||
text-decoration: none;
|
||
font-size: 12px;
|
||
line-height: 1.6;
|
||
transition: color 0.2s;
|
||
cursor: pointer;
|
||
}
|
||
/* 轨道上的圆点 */
|
||
.toc-item::before {
|
||
content: '';
|
||
position: absolute; left: 11px; top: 50%;
|
||
width: 5px; height: 5px;
|
||
border-radius: 50%;
|
||
background: var(--gray-300);
|
||
transform: translateY(-50%);
|
||
transition: all 0.25s;
|
||
}
|
||
.toc-item:hover { color: var(--gray-900); }
|
||
.toc-item:hover::before { background: var(--gray-500); }
|
||
|
||
.toc-item.active {
|
||
color: var(--gray-900);
|
||
font-weight: 600;
|
||
}
|
||
.toc-item.active::before {
|
||
background: var(--primary);
|
||
width: 7px; height: 7px;
|
||
box-shadow: 0 0 0 3px rgba(26,86,219,0.15);
|
||
}
|
||
|
||
.toc-item.level-1 {
|
||
font-size: 12px; font-weight: 500;
|
||
padding-top: 6px; padding-bottom: 2px;
|
||
color: var(--gray-700);
|
||
}
|
||
.toc-item.level-2 {
|
||
font-size: 11px; font-weight: 400;
|
||
padding-left: 36px;
|
||
color: var(--gray-400);
|
||
max-height: 0; overflow: hidden;
|
||
padding-top: 0; padding-bottom: 0;
|
||
transition: max-height 0.3s ease, padding 0.3s ease, opacity 0.3s;
|
||
opacity: 0;
|
||
}
|
||
.toc-item.level-2.visible {
|
||
max-height: 30px;
|
||
padding-top: 3px; padding-bottom: 3px;
|
||
opacity: 1;
|
||
}
|
||
.toc-item.level-2::before { left: 19px; width: 4px; height: 4px; }
|
||
.toc-item.level-2.active::before { width: 6px; height: 6px; }
|
||
|
||
/* 折叠按钮（如果有chat-fab则上移避让） */
|
||
.toc-toggle {
|
||
position: fixed;
|
||
bottom: 24px; right: 80px;
|
||
width: 40px; height: 40px;
|
||
background: rgba(255,255,255,0.9);
|
||
backdrop-filter: blur(8px);
|
||
color: var(--gray-700);
|
||
border: 1px solid var(--gray-200);
|
||
border-radius: 10px;
|
||
cursor: pointer; z-index: 1001;
|
||
font-size: 18px;
|
||
display: none;
|
||
align-items: center; justify-content: center;
|
||
box-shadow: 0 2px 12px rgba(0,0,0,0.06);
|
||
transition: background 0.2s, box-shadow 0.2s;
|
||
}
|
||
.toc-toggle:hover {
|
||
background: white;
|
||
box-shadow: 0 4px 16px rgba(0,0,0,0.1);
|
||
}
|
||
|
||
/* 打印样式 */
|
||
@media print {
|
||
body { background: white; }
|
||
.report-container { box-shadow: none; max-width: none; }
|
||
.section { page-break-inside: avoid; }
|
||
.chart-box { page-break-inside: avoid; }
|
||
.chart-row { grid-template-columns: 1fr 1fr; }
|
||
.toc-nav, .toc-toggle { display: none !important; }
|
||
}
|
||
|
||
@media (max-width: 1400px) {
|
||
.toc-nav { width: 160px; right: 12px; }
|
||
}
|
||
@media (max-width: 1280px) {
|
||
.toc-nav { display: none; }
|
||
.toc-toggle { display: flex; }
|
||
.toc-nav.show {
|
||
display: block; right: 12px; bottom: 72px; top: auto;
|
||
transform: none; max-height: 65vh;
|
||
opacity: 1; box-shadow: 0 8px 32px rgba(0,0,0,0.1);
|
||
}
|
||
}
|
||
@media (max-width: 768px) {
|
||
.chart-row { grid-template-columns: 1fr; }
|
||
.chart-row-3 { grid-template-columns: 1fr; }
|
||
.section { padding: 20px 24px; }
|
||
.cover { padding: 40px 24px; }
|
||
.cover .school-name { font-size: 28px; }
|
||
.toc-nav { display: none; }
|
||
.toc-toggle { display: flex; }
|
||
.toc-nav.show { display: block; width: 170px; }
|
||
}
|
||
</style>
|
||
</head>
|
||
<body>
|
||
|
||
<nav class="toc-nav" id="toc-nav"><div class="toc-track" id="toc-track"></div></nav>
|
||
<button class="toc-toggle" id="toc-toggle" onclick="document.getElementById('toc-nav').classList.toggle('show')">☰</button>
|
||
|
||
<div class="report-container">
|
||
|
||
|
||
|
||
<div class="cover">
|
||
<h1>课程实施监测数据分析报告</h1>
|
||
<div class="subtitle">基于学校领导力视角的七维度分析</div>
|
||
<div class="school-name">华二临港</div>
|
||
<div class="subtitle">奉贤区 · 市实验性示范性高中</div>
|
||
<div class="date">2026年05月09日</div>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="section" id="part1">
|
||
<h1>第一部分 测评背景与实施</h1>
|
||
|
||
<h2>一、测评背景</h2>
|
||
|
||
<p>为深入贯彻《教育部关于做好普通高中新课程新教材实施工作的指导意见》（教基〔2018〕15号）、《关于新时代推进普通高中育人方式改革的指导意见》（国办发〔2019〕29号）及《基础教育课程教学改革深化行动方案》（教材厅函〔2023〕3号）等一系列国家教育政策导向，积极响应《教育部办公厅关于开展课程实施与教材使用监测工作的通知》（教材厅函〔2023〕5号）的具体要求，上海市教委积极行动，发布了针对性的政策文件，进一步强化国家课程方案的实施转化，并提出建立健全课程实施的监测与反馈机制，以循证决策为引领，持续优化与改进课程规划与实施路径。</p>
|
||
|
||
<p>学校领导力是学校发展的核心驱动力。实施管理的素养导向立意与决策质量直接影响学校课程教学的整体表现与成效。课程实施管理的重点在于学校课程管理规划与施策，以及这些决策在教学活动中的切实落地。鉴于此，我们从学校领导力视角出发，确保课程领导力、教学变革力、学生发展指导力、教师发展支持力、教育质量评估力、教育条件保障力和数字化赋能力七大维度相互协同，共同作用于学校课程实施的全局。</p>
|
||
|
||
<h2>二、测评框架</h2>
|
||
|
||
<p>本报告从学校领导力视角出发，对课程实施监测指标数据进行系统性的分析与指标再建构，构建了学校课程实施的七维度指标体系（见表1-1）。</p>
|
||
|
||
<table class="data-table">
|
||
<caption style="text-align:center; font-weight:600; margin-bottom:10px; color:var(--gray-700);">表1-1 指标体系表</caption>
|
||
<thead>
|
||
<tr><th style="width:140px;">二级维度</th><th style="width:170px;">三级维度</th><th>指标解读</th></tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<td rowspan="3"><strong>课程领导力</strong></td>
|
||
<td>国家标准遵循</td>
|
||
<td rowspan="3" style="text-align:left;">1.确保开齐开足国家课程；2.考察学校课程设置的合理性与多样性，包括学科类课程、校本课程、综合实践活动与劳动课程各类课程的课程安排与学生实践；3.关注核心素养导向课程的规范化建设情况</td>
|
||
</tr>
|
||
<tr><td>课程结构建设</td></tr>
|
||
<tr><td>课程规范落实</td></tr>
|
||
<tr>
|
||
<td rowspan="2"><strong>教学变革力</strong></td>
|
||
<td>教学方式变革</td>
|
||
<td rowspan="2" style="text-align:left;">1.课中教学方式革新，倡导深度学习，重视个性化教育；2.课后作业设计、管理科学高效</td>
|
||
</tr>
|
||
<tr><td>作业设计与管理变革</td></tr>
|
||
<tr>
|
||
<td rowspan="2"><strong>学生发展指导力</strong></td>
|
||
<td>学科发展的个性化辅导</td>
|
||
<td rowspan="2" style="text-align:left;">1.根据学生的特点和需要，教师进行选课指导、个性化辅导等；2.学校提供个性化的生涯指导服务，建立完善的生涯发展支持体系；3.关注学生综合素质发展</td>
|
||
</tr>
|
||
<tr><td>学生生涯发展指导</td></tr>
|
||
<tr>
|
||
<td rowspan="3"><strong>教师发展支持力</strong></td>
|
||
<td>培训支持</td>
|
||
<td rowspan="3" style="text-align:left;">1.给教师提供入职培训、在职培训以及外出学习机会；2.学校定期组织教研活动，建立教学资源库；3.给教师提供参与科研项目和研究活动的支持</td>
|
||
</tr>
|
||
<tr><td>教研支持</td></tr>
|
||
<tr><td>项目支持</td></tr>
|
||
<tr>
|
||
<td rowspan="4"><strong>教育质量评估力</strong></td>
|
||
<td>科学评价观</td>
|
||
<td rowspan="4" style="text-align:left;">1.面向学生核心素养与综合素质发展，确立科学评价观；2.关注学业质量，对标课程标准科学评价学生表现；3.关注综合素质多方面评价；4.关注学生实践活动表现</td>
|
||
</tr>
|
||
<tr><td>学业质量评估</td></tr>
|
||
<tr><td>综合素质评估</td></tr>
|
||
<tr><td>实践活动评估</td></tr>
|
||
<tr>
|
||
<td rowspan="3"><strong>教育条件保障力</strong></td>
|
||
<td>区域推进</td>
|
||
<td rowspan="3" style="text-align:left;">1.了解学校所在区域教育局对高中教育教学工作的推动情况；2.评估学校信息技术环境、教学设备、场馆设施的支持情况；3.关注学校如何统筹师资配置、校内资源、社区资源等</td>
|
||
</tr>
|
||
<tr><td>环境支持</td></tr>
|
||
<tr><td>资源支持</td></tr>
|
||
<tr>
|
||
<td rowspan="3"><strong>数字化赋能力</strong></td>
|
||
<td>教学方式创新</td>
|
||
<td rowspan="3" style="text-align:left;">1.关注数智化资源支持与赋能课程、教学、评价的情况；2.了解学校校内外的数智化资源、信息化平台与信息系统建设情况</td>
|
||
</tr>
|
||
<tr><td>评价精准化与个性化</td></tr>
|
||
<tr><td>课程迭代优化</td></tr>
|
||
</tbody>
|
||
</table>
|
||
|
||
<h2>三、测评实施</h2>
|
||
|
||
<h3>（一）测评对象</h3>
|
||
<p>本次监测面向奉贤区普通高中学校，共有8所高中学校参与本次监测。每所参与监测的高中学校，均抽取了行政管理部门的学校管理者代表（包括校长、副校长、部门主任等）、各学科教研组组长参加问卷调查。</p>
|
||
|
||
<h3>（二）测评方法</h3>
|
||
<p>基于上海市教师教育学院（上海市教委教研室）开展的中小学课程实施监测的研究框架，采用问卷调查方式采集学校课程实施信息，涵盖学校基础信息、课程实施情况和学科课程实施情况三个维度的数据。</p>
|
||
|
||
<h3>（三）数据分析</h3>
|
||
<p>数据分析流程如下：</p>
|
||
<p><strong>第一，指标体系重构。</strong>基于学校领导力视角的七维度重构维度、指标及具体题目的映射关系，形成多级指标体系。</p>
|
||
<p><strong>第二，PCA（主成分分析）合成。</strong>对问卷中的各个题目进行标准化处理，利用主成分分析方法，将多个相关变量合成为主成分，提取各三级维度得分。</p>
|
||
<p><strong>第三，标准化得分统一量纲。</strong>对PCA合成后的主成分进行标准化处理，将数据统一到均值50、标准差10的正态分布上。68.27%的样本处于[40分, 60分]区间，84.45%处于[30分, 70分]，如某所学校得分为60分，意味着其表现超过了约84%的学校。</p>
|
||
<p><strong>第四，对三级维度划分水平。</strong>依据维度内涵和学校表现分布，从题目层面确定水平划分的分界点分数，对各学校划分水平1~4（见表1-2）。</p>
|
||
<p><strong>第五，聚类分析。</strong>基于标准化得分，对学校进行聚类分析，将具有相似特征的学校归为一类，识别出各维度下不同类型的学校群体。</p>
|
||
|
||
<h3>（四）三级维度水平划分</h3>
|
||
<table class="data-table" style="font-size:13px;">
|
||
<caption style="text-align:center; font-weight:600; margin-bottom:10px; color:var(--gray-700);">表1-2 三级维度水平划分表</caption>
|
||
<thead>
|
||
<tr><th>三级维度</th><th>水平4</th><th>水平3</th><th>水平2</th><th>水平1</th></tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>国家标准遵循</strong></td>
|
||
<td style="text-align:left; font-size:12px;">所有科目必修课程开齐开足，选必和选修满足要求</td>
|
||
<td style="text-align:left; font-size:12px;">考试类科目必修开齐，选必和选修满足要求</td>
|
||
<td style="text-align:left; font-size:12px;">必修未能开齐开足，选必和选修有一个满足要求</td>
|
||
<td style="text-align:left; font-size:12px;">必修未能开齐开足，选必和选修均不满足要求</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>课程结构建设</strong></td>
|
||
<td style="text-align:left; font-size:12px;">学科类必修课程离差总和在30%以内，总体三类课程在150%以下，校本课程和综合实践较好</td>
|
||
<td style="text-align:left; font-size:12px;">总体三类课程离差总和在250%以下，校本课程和综合实践高于平均水平</td>
|
||
<td style="text-align:left; font-size:12px;">总体三类课程离差总和在300%以下，校本课程和综合实践较差</td>
|
||
<td style="text-align:left; font-size:12px;">总体三类课程的离差和很高，校本课程和综合实践在末尾25%</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>课程规范落实</strong></td>
|
||
<td style="text-align:left; font-size:12px;">都有建设规范文本和档案记录</td>
|
||
<td style="text-align:left; font-size:12px;">都有建设规范文本，但过程性档案记录已经全部建成，部分有尚未使用</td>
|
||
<td style="text-align:left; font-size:12px;">部分有建设规范文本，档案大部分已经建成但未使用</td>
|
||
<td style="text-align:left; font-size:12px;">基本没有建设规范文本，档案尚未建成</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>教学方式变革</strong></td>
|
||
<td style="text-align:left; font-size:12px;">所有老师有共识和研究，并能够系统设计、有效实施，至少有3种常态化落实形式</td>
|
||
<td style="text-align:left; font-size:12px;">大部分老师有共识和研究，并能够落实教材中的相关要求，至少有2种常态化落实形式</td>
|
||
<td style="text-align:left; font-size:12px;">个别老师有研究，并能够偶尔引导学生开展学习，至少有1种常态化落实形式</td>
|
||
<td style="text-align:left; font-size:12px;">基本没有教学方法等相关研究，基本不组织相关学习，没有或仅有1种落实形式</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>作业设计与管理变革</strong></td>
|
||
<td style="text-align:left; font-size:12px;">在每类创新性作业中至少掌握3种类型，作业时长有统一控制管理，定期批改评价，有多元化属性标注</td>
|
||
<td style="text-align:left; font-size:12px;">在每类创新性作业中至少掌握2种类型，偶有时长控制管理，面批为主，有至少两种属性标注</td>
|
||
<td style="text-align:left; font-size:12px;">至少掌握1种类型或擅长某1-2种创新作业，学生自己控制时长，很少反馈，有属性标注</td>
|
||
<td style="text-align:left; font-size:12px;">擅长某种创新作业，学生自己控制时长，几乎不反馈，无属性标注</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>学科发展的个性化辅导</strong></td>
|
||
<td style="text-align:left; font-size:12px;">各学科平均辅导时长每周2小时以上，教师根据学情确定内容，采取个别辅导方式</td>
|
||
<td style="text-align:left; font-size:12px;">各学科平均辅导时长每周1-2小时，教师根据学情确定内容，主要个别分散辅导</td>
|
||
<td style="text-align:left; font-size:12px;">各学科平均辅导时长每周1小时以内，学生提出需求后教师辅导，分组统一或分散辅导</td>
|
||
<td style="text-align:left; font-size:12px;">辅导时长每周1小时以内或不辅导，学生提出需求后教师辅导，班级统一辅导</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>学生生涯发展指导</strong></td>
|
||
<td style="text-align:left; font-size:12px;">专设生涯指导课程，三年覆盖90%+学生，本校+外聘教师队伍，校内外资源足够支持</td>
|
||
<td style="text-align:left; font-size:12px;">外请讲座实施，三年覆盖70-90%学生，外聘教师队伍，校内外资源有一些支持</td>
|
||
<td style="text-align:left; font-size:12px;">与社会考察/志愿服务结合实施，三年覆盖50-70%学生，外聘教师，几乎无资源支持</td>
|
||
<td style="text-align:left; font-size:12px;">与社会考察/志愿服务结合实施，三年覆盖50%以下，未形成稳定队伍，几乎无资源支持</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>培训支持</strong></td>
|
||
<td style="text-align:left; font-size:12px;">各学科教师平均外出培训人数≥2.5人</td>
|
||
<td style="text-align:left; font-size:12px;">各学科教师平均外出培训人数≥1.5人</td>
|
||
<td style="text-align:left; font-size:12px;">各学科教师平均外出培训人数≥1人</td>
|
||
<td style="text-align:left; font-size:12px;">各学科教师几乎不进行外出培训</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>教研支持</strong></td>
|
||
<td style="text-align:left; font-size:12px;">教研的数量和质量均较高</td>
|
||
<td style="text-align:left; font-size:12px;">有教研活动，质量较好</td>
|
||
<td style="text-align:left; font-size:12px;">有教研活动但质量一般</td>
|
||
<td style="text-align:left; font-size:12px;">活动数量和质量均较低</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>项目支持</strong></td>
|
||
<td style="text-align:left; font-size:12px;">各学科均有负责的校级以上项目至少一个</td>
|
||
<td style="text-align:left; font-size:12px;">有部分学科负责校级以上项目至少一个</td>
|
||
<td style="text-align:left; font-size:12px;">各学科没有负责的校级以上项目，部分学科有校级项目至少一个</td>
|
||
<td style="text-align:left; font-size:12px;">各学科校级及校级以上的项目均没有</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>科学评价观</strong></td>
|
||
<td style="text-align:left; font-size:12px;">在所有方面均能至少关注两项素养发展</td>
|
||
<td style="text-align:left; font-size:12px;">至少有三个方面关注两项素养发展</td>
|
||
<td style="text-align:left; font-size:12px;">能较多关注学生发展</td>
|
||
<td style="text-align:left; font-size:12px;">较少关注学生发展</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>学业质量评估</strong></td>
|
||
<td style="text-align:left; font-size:12px;">校本化评价工具已研制并使用，学期考试质量分析并标注属性较为全面</td>
|
||
<td style="text-align:left; font-size:12px;">校本化评价工具已研制并使用，学期考试质量分析不做硬性要求</td>
|
||
<td style="text-align:left; font-size:12px;">至少已研制一项校本化评价工具，学期考试质量分析不做硬性要求</td>
|
||
<td style="text-align:left; font-size:12px;">未能重视学业质量评估，校本化评价工具均欠缺</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>综合素质评估</strong></td>
|
||
<td style="text-align:left; font-size:12px;">校本化综合素质评价体系均有建设和使用，有平台支持且评价结果表达科学</td>
|
||
<td style="text-align:left; font-size:12px;">校本化综合素质评价体系均有建设和使用，支持平台和评价结果使用有待提高</td>
|
||
<td style="text-align:left; font-size:12px;">校本化综合素质评价方案建成，但具体评价工具有待开发</td>
|
||
<td style="text-align:left; font-size:12px;">未能重视校本化综合素质评价，方案、工具和结果使用等均欠缺</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>实践活动评估</strong></td>
|
||
<td style="text-align:left; font-size:12px;">研究性学习、社会考察和学科实践活动的校本化评价工具已研制并使用</td>
|
||
<td style="text-align:left; font-size:12px;">学科实践活动的校本化评价工具已研制并使用，研究性学习/社会考察至少一项已研制但尚未使用</td>
|
||
<td style="text-align:left; font-size:12px;">学科实践活动的校本化评价工具已研制</td>
|
||
<td style="text-align:left; font-size:12px;">研究性学习、社会考察和学科实践活动的校本化评价工具均尚未研制和使用</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>区域推进</strong></td>
|
||
<td style="text-align:left; font-size:12px;">召开会议平均一个月2次及以上，区域管理文件数量和措施均为最大值</td>
|
||
<td style="text-align:left; font-size:12px;">召开会议平均一个月1次及以上，区域管理文件3个以上，措施达3项</td>
|
||
<td style="text-align:left; font-size:12px;">召开会议、文件和措施至少有一项建设较好</td>
|
||
<td style="text-align:left; font-size:12px;">召开会议、文件和措施三项均建设较差</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>环境支持</strong></td>
|
||
<td style="text-align:left; font-size:12px;">信息化支持和硬件支持均处于较高水平</td>
|
||
<td style="text-align:left; font-size:12px;">信息化支持和硬件在平均水平附近</td>
|
||
<td style="text-align:left; font-size:12px;">信息化支持和硬件支持至少有一项建设较好</td>
|
||
<td style="text-align:left; font-size:12px;">信息化支持和硬件支持均建设较差</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>资源支持</strong></td>
|
||
<td style="text-align:left; font-size:12px;">校内外资源和师资水平均处于较高水平</td>
|
||
<td style="text-align:left; font-size:12px;">校内外资源至少有一项供给较好，师资水平较好</td>
|
||
<td style="text-align:left; font-size:12px;">校内外资源至少有一项仅略低于平均水平，师资水平略低于平均水平</td>
|
||
<td style="text-align:left; font-size:12px;">校内外资源和师资水平三项均建设较差</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>教学方式创新</strong></td>
|
||
<td style="text-align:left; font-size:12px;">信息技术与教学融合程度高，教师能常态化使用信息技术</td>
|
||
<td style="text-align:left; font-size:12px;">信息技术与教学融合程度较高，教师能使用信息技术</td>
|
||
<td style="text-align:left; font-size:12px;">信息技术与教学融合程度一般，学校有信息化平台建设</td>
|
||
<td style="text-align:left; font-size:12px;">信息技术与教学融合程度较差，教师基本不使用信息技术</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>评价精准化与个性化</strong></td>
|
||
<td style="text-align:left; font-size:12px;">有自建信息技术平台支持学科诊断与综合素质评价</td>
|
||
<td style="text-align:left; font-size:12px;">借助第三方平台支持学科诊断与综合素质评价</td>
|
||
<td style="text-align:left; font-size:12px;">有信息技术平台支持学业评价</td>
|
||
<td style="text-align:left; font-size:12px;">没有信息技术平台支持评价</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td style="text-align:left;"><strong>课程迭代优化</strong></td>
|
||
<td style="text-align:left; font-size:12px;">学校对促进教学数字化转型有专项研修计划并开展相关活动，业务绝大部分使用信息化系统</td>
|
||
<td style="text-align:left; font-size:12px;">学校尚未制定专项研修计划，业务绝大部分使用信息化系统</td>
|
||
<td style="text-align:left; font-size:12px;">学校较少开展数字化转型活动，少数业务使用信息化系统</td>
|
||
<td style="text-align:left; font-size:12px;">学校几乎不开展数字化转型活动，尚未建成信息化管理系统</td>
|
||
</tr>
|
||
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="section" id="part2">
|
||
<h1>第二部分 总体表现</h1>
|
||
|
||
<h2>一、学校课程实施总体状况</h2>
|
||
|
||
<!-- 得分卡片 -->
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">总体得分</div>
|
||
<div class="value">49.4</div>
|
||
<div class="diff positive">
|
||
+1.0 vs 区均值 (48.4)
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">2/8</div>
|
||
</div>
|
||
|
||
<div class="score-card">
|
||
<div class="label">全市排名</div>
|
||
<div class="value">151/266</div>
|
||
|
||
<div class="diff negative">
|
||
位列前 56.8%
|
||
</div>
|
||
</div>
|
||
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">52.4</div>
|
||
<div class="diff negative">
|
||
-3.0 vs 同类
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">课程实施类型</div>
|
||
<div class="value" style="font-size:16px">
|
||
|
||
|
||
<span class="type-badge weak">
|
||
待提升
|
||
</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- A. 学校画像卡 + 优势-短板象限图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="profile-card-chart" class="chart" style="height:420px"></div>
|
||
<div class="chart-title">图2-0a 学校课程实施画像总览</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="quadrant-chart" class="chart" style="height:420px"></div>
|
||
<div class="chart-title">图2-0b 三级维度优势-短板象限分析</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校课程实施总体得分49.4分，整体处于"待提升"层级，呈现出明显的结构性失衡：区域推进（+11.9）、课程迭代优化（+11.2）、学生生涯发展指导（+5.5）等维度显著高于区均值，构成突出优势；但国家标准遵循（-16.3）、实践活动评估（-12.7）、综合素质评估（-12.1）等评价类维度严重低于区均值，是制约整体水平提升的核心短板，亟需重点改进。</p>
|
||
</div>
|
||
|
||
<!-- 得分对比横向条形图 + 七维度雷达图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="score-compare-chart" class="chart"></div>
|
||
<div class="chart-title">图2-1 课程实施七维度得分对比</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="radar-chart" class="chart"></div>
|
||
<div class="chart-title">图2-2 课程实施七维度雷达图</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 聚类类型分布 + 两类学校折线对比 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="cluster-type-dist-chart" class="chart"></div>
|
||
<div class="chart-title">图2-3 学校课程实施总体类型分布</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="cluster-line-chart" class="chart"></div>
|
||
<div class="chart-title">图2-4 两类学校课程实施特征对比</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 聚类类型对比雷达图 + 区内学校排名条形图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="cluster-radar-chart" class="chart"></div>
|
||
<div class="chart-title">图2-5 学校课程实施类型特征对比（雷达图）</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="school-ranking-chart" class="chart"></div>
|
||
<div class="chart-title">图2-6 区内各校总体得分排名</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 维度间相关性热力图 -->
|
||
<div class="chart-box">
|
||
<div id="correlation-chart" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图2-7 课程实施维度间相关性分析</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>课程实施各维度之间呈现出较强的正相关关系，其中教师发展支持力与教育质量评估力的相关系数最高（r=0.71），其次为学生发展指导力与教育条件保障力（r=0.69）、学生发展指导力与教师发展支持力（r=0.66）。这表明各维度发展趋势高度一致，贵校若能针对薄弱维度重点发力，有望带动多个相关维度同步提升，实现协同增效。</p>
|
||
</div>
|
||
|
||
<!-- LLM综合分析 -->
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="alert-box" style="background: linear-gradient(135deg, #fef2f2, #fee2e2); border: 2px solid #ef4444; border-radius: 12px; padding: 20px 24px; margin: 24px 0;">
|
||
<h3 style="color: #dc2626; margin: 0 0 12px 0; font-size: 18px;">紧急预警：以下子维度需立即关注</h3>
|
||
<div class="llm-analysis" style="color: #7f1d1d;">
|
||
<p>以下五项子维度已触发<strong>紧急预警</strong>，全部处于水平1的最低层级，且多项指标位列全区末位，情况严峻，管理层必须立即正视并启动专项整改。</p>
|
||
|
||
<p>最为紧迫的是<strong>国家标准遵循</strong>（课程领导力）维度：得分仅29.7分，区均值46.1分，差距高达<strong>16.3分</strong>，位列全区第8/8，垫底幅度在所有预警项中最为悬殊。这一结果意味着学校在课程设置与国家课程标准的对接执行层面存在系统性失位。必须立即追查：学校是否建立了对标国家课程方案的自查机制？课程主管领导是否切实履行了审核职责？相关制度文件是否形同虚设？这不是局部疏漏，而是课程治理的根本性缺失，需要在本学期内完成制度体系的全面重建。</p>
|
||
|
||
<p><strong>实践活动评估</strong>与<strong>综合素质评估</strong>两项维度同样位列全区末位（第8/8），得分分别为35.6分和37.7分，差距均超过12分。作为市实验性示范性高中，这两项恰恰是新高考改革的核心评价领域，如此表现与学校办学定位形成了极为刺眼的背离。必须立即排查：综合素质档案的填报是否流于形式？实践活动是否缺乏系统记录与评估机制？主管德育与课程的条线负责人须就此作出正式说明。</p>
|
||
|
||
<p><strong>学业质量评估</strong>维度得分40.7分，同样排名全区末位（第8/8），与区均值相差6.1分；<strong>课程规范落实</strong>以38.1分排名全区第7/8，差距达9.6分，接近末位且与均值差距显著。两项指标共同指向一个核心问题：学校的教育评估体系在工具设计、数据运用与规范执行三个环节均存在明显短板。</p>
|
||
|
||
<p>综合来看，五项预警维度高度集中于<strong>课程领导力</strong>与<strong>教育质量评估力</strong>两大领域，这绝非偶然的数据波动，而是学校在课程管理制度建设与评价体系落地层面存在深层结构性问题的集中信号。必须在本学期内制定逐项专项整改方案，明确责任人、时间节点与可量化的改进目标，并向上级主管部门报告整改进展。</p>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="positioning-gap-box" style="background: linear-gradient(135deg, #fffbeb, #fef3c7); border: 2px solid #f59e0b; border-radius: 12px; padding: 20px 24px; margin: 24px 0;">
|
||
<h3 style="color: #b45309; margin: 0 0 12px 0; font-size: 18px;">学校定位与实际表现差距分析</h3>
|
||
<div class="llm-analysis" style="color: #78350f;">
|
||
<p>作为上海市实验性示范性高中，华二临港承载着在区域乃至全市范围内引领课程改革方向、示范办学标准的重要职责。然而，现有数据所呈现的图景与这一定位之间存在不容忽视的结构性落差。</p>
|
||
|
||
<p>就整体而言，学校总体排名位列区内第2/8，尚处于中上水平，但若将目光投向具体维度，问题的严峻程度便愈发清晰。<strong>课程领导力</strong>（39.5分）与<strong>教育质量评估力</strong>（42.0分）两项二级维度均位居区内末位，显著低于区均值。其下属三级维度中，"国家标准遵循""学业质量评估""综合素质评估""实践活动评估"四项均处于水平1，"课程规范落实""评价精准化与个性化"亦未能突破水平2，多项指标区内排名垫底。</p>
|
||
|
||
<p>面对这一数据格局，有若干结构性问题值得深入追问：管理层对国家课程方案及标准的把握是否存在系统性盲区，导致执行层面的偏差长期得不到纠偏？学校是否将有限资源过度集中于升学导向的显性成果，而在课程规范建设与评价体系搭建上有所松懈？现行的评价激励机制是否与新课程改革的核心要求尚未真正对齐，使得教师在推进综合素质评估与实践活动评估时缺乏内在动力与方向感？</p>
|
||
|
||
<p>这些问题并非孤立存在，而是彼此交织，共同指向同一个核心隐忧：<strong>若不正视并系统回应上述差距，"市实验性示范性高中"的办学定位将逐渐演变为一块与实际课程治理水平日益脱节的名牌，引领与示范的功能也将随之虚化。</strong>课程改革的深水区恰恰在于制度建设与评价变革，而这正是当前学校最为薄弱的环节，亟需以审慎而坚定的姿态加以正视。</p>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
<h2>二、分维度状况</h2>
|
||
|
||
<!-- 维度得分对比表 -->
|
||
<table class="data-table">
|
||
<thead>
|
||
<tr>
|
||
<th>维度</th>
|
||
<th>华二临港</th>
|
||
<th>区均值</th>
|
||
<th>同类学校均值</th>
|
||
<th>差异(vs区)</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
<tr>
|
||
<td><strong>课程领导力</strong></td>
|
||
<td>39.48</td>
|
||
<td>49.03</td>
|
||
<td>51.95</td>
|
||
<td style="color: red">
|
||
-9.55
|
||
</td>
|
||
<td>8/8</td>
|
||
|
||
<td>257/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>教学变革力</strong></td>
|
||
<td>53.51</td>
|
||
<td>49.54</td>
|
||
<td>51.72</td>
|
||
<td style="color: green">
|
||
+3.97
|
||
</td>
|
||
<td>1/8</td>
|
||
|
||
<td>39/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>学生发展指导力</strong></td>
|
||
<td>51.30</td>
|
||
<td>47.37</td>
|
||
<td>51.45</td>
|
||
<td style="color: green">
|
||
+3.92
|
||
</td>
|
||
<td>2/8</td>
|
||
|
||
<td>107/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>教师发展支持力</strong></td>
|
||
<td>50.57</td>
|
||
<td>49.93</td>
|
||
<td>53.88</td>
|
||
<td style="color: green">
|
||
+0.63
|
||
</td>
|
||
<td>3/8</td>
|
||
|
||
<td>96/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>教育质量评估力</strong></td>
|
||
<td>41.96</td>
|
||
<td>48.60</td>
|
||
<td>53.42</td>
|
||
<td style="color: red">
|
||
-6.65
|
||
</td>
|
||
<td>8/8</td>
|
||
|
||
<td>223/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>教育条件保障力</strong></td>
|
||
<td>55.93</td>
|
||
<td>47.70</td>
|
||
<td>53.07</td>
|
||
<td style="color: green">
|
||
+8.22
|
||
</td>
|
||
<td>1/8</td>
|
||
|
||
<td>42/266</td>
|
||
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>数字化赋能力</strong></td>
|
||
<td>53.02</td>
|
||
<td>47.15</td>
|
||
<td>51.54</td>
|
||
<td style="color: green">
|
||
+5.87
|
||
</td>
|
||
<td>3/8</td>
|
||
|
||
<td>63/266</td>
|
||
|
||
</tr>
|
||
|
||
</tbody>
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part3">
|
||
<h1>第三部分 课程领导力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">课程领导力得分</div>
|
||
<div class="value">39.5</div>
|
||
<div class="diff negative">
|
||
-9.6 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">52.0</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 257/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge weak">待提升</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part3" class="chart"></div>
|
||
<div class="chart-title">图3-1 课程领导力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part3" class="chart"></div>
|
||
<div class="chart-title">图3-2 课程领导力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校课程领导力总体得分为39.5分，低于区均值49.0分，差距达9.6分，整体水平有待提升。从各子维度来看，课程结构建设得分最高（50.6分），课程规范落实次之（38.1分），国家标准遵循得分最低（29.7分），三项子维度间分差达20.9分，表明各维度发展不均衡，国家标准遵循方面尤为薄弱，是后续重点改进的方向。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part3" class="chart"></div>
|
||
<div class="chart-title">图3-3 课程领导力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part3" class="chart"></div>
|
||
<div class="chart-title">图3-4 课程领导力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part3" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图3-5 课程领导力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>在课程领导力维度，贵校得分为39.5分，低于区均值49.0分约9.6分，区内排名第8位，位列末位。散点图显示，贵校在该维度各子指标上的综合表现与区内其他学校存在明显差距，是当前需要重点关注与提升的薄弱领域。</p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>课程领导力各子维度水平对比 (表 3-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>国家标准遵循</td>
|
||
<td class="lv1">水平 1</td>
|
||
<td>29.7</td>
|
||
<td>46.1</td>
|
||
<td>8/8</td>
|
||
|
||
<td>266/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>课程结构建设</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>50.6</td>
|
||
<td>53.4</td>
|
||
<td>6/8</td>
|
||
|
||
<td>126/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>课程规范落实</td>
|
||
<td class="lv1">水平 1</td>
|
||
<td>38.1</td>
|
||
<td>47.7</td>
|
||
<td>7/8</td>
|
||
|
||
<td>240/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part3-1">二、 国家标准遵循</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">29.7</div>
|
||
<div class="diff negative">
|
||
-16.3 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">46.1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-1">水平 1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 266/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part3-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 active">
|
||
水平 1 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平1含义：</strong>必修未能开齐开足，选必和选修均不满足要求
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在国家标准遵循子维度的得分为<strong>29.74分</strong>，显著低于奉贤区均值46.06分，差距达<strong>16.32分</strong>，处于<strong>水平1</strong>——即必修课程未能开齐开足，选择性必修与选修课程均不满足国家及上海市课程方案要求。这意味着贵校在课程合规性这一最基础的维度上存在实质性缺口，学生依法依规享有的完整课程权益尚未得到充分保障。</p>
|
||
|
||
<p>从区内横向比较来看，奉贤区8所高中中，达到水平3及以上的学校共6所，占比<strong>75%</strong>；处于水平1的学校有3所（含贵校），占比37.5%。贵校得分<strong>29.74分，位列区内第8名（末位）</strong>，不仅落后于上师大四附中（56.93分）、奉贤中学（54.33分）等区内领先学校，亦低于同处水平1的华理曙光（36.27分）和美达菲（38.33分）。作为市实验性示范性高中，贵校理应在区域课程改革中发挥引领作用，然而当前表现不仅未能起到示范效果，反而在课程合规性上居于区内最末，这一现状与贵校定位形成了极为突出的落差，值得深刻正视。</p>
|
||
|
||
<p>贵校与区均值差距超过16分，且在区内垫底，情况严峻，<strong>管理层需立即启动专项排查，厘清根本原因，并制定有时间节点的整改方案</strong>。建议重点追问以下结构性问题：<strong>一是师资编制是否存在系统性短缺</strong>，导致部分科目无法按标准开课；<strong>二是课程排课制度与学分管理机制是否健全</strong>，是否存在以校本课程或活动课时挤占国家必修课时的情况；<strong>三是课程审核与自查机制是否缺位</strong>，未能及时发现并纠正课时偏差。建议贵校以《普通高中课程方案（2017年版2020年修订）》和《上海市普通高中课程实施方案》为对照基准，逐科逐类梳理课时与学分达标情况，优先补齐必修课程缺口，再逐步规范选择性必修与选修课程的开设，确保在最短时间内实现合规达标，切实履行市实验性示范性高中应承担的课程责任。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part3-2">三、 课程结构建设</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">50.6</div>
|
||
<div class="diff negative">
|
||
-2.8 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">53.4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">6/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 126/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part3-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>总体三类课程离差总和在250%以下，校本课程和综合实践高于平均水平
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校课程结构建设得分为50.59分，低于奉贤区均值53.35分，差距为2.76分，处于<strong>水平3</strong>。水平3的具体含义为：总体三类课程离差总和在250%以下，校本课程和综合实践类课程的开设比例高于区域平均水平，表明贵校在课程多样性方面具备一定基础，三类课程结构尚在合理区间，但与精细化的课程比例调控仍有明显距离。</p>
|
||
|
||
<p>从区内水平分布来看，全区8所学校中，达到水平4的学校有3所（占37.5%），处于水平3及以上的学校共6所（占75%）。贵校在区内8校中排名第6，位于美达菲（62.13分）、奉城高中（59.78分）、奉贤中学（58.75分）、华理曙光（52.98分）及景秀高中（52.95分）之后，仅领先上师大四附中和东华致远。值得注意的是，华理曙光和景秀高中与贵校得分差距较小（分别约2.4分和2.4分），处于同一水平等级，但贵校与排名第一梯队水平4学校的分差已接近12分，差距较为显著。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校在课程结构建设上的表现与其定位存在明显落差，建议从以下层面着力推进：其一，<strong>深入审查三类课程比例配置</strong>，以学科类必修课程离差为突破口，参照水平4学校的实践经验，着力压缩各科课时的结构性偏差，将离差总和向150%以内的目标靠拢；其二，<strong>做强校本课程体系</strong>，在现有高于均值的基础上进一步提升校本课程的系统性与序列化程度，而非停留于课时量的满足；其三，<strong>强化综合实践课程的实质性落地</strong>，避免"有设置、无深度"的形式化倾向，结合临港地区科创产业资源，开发具有学校辨识度的综合实践项目，以课程结构的高质量配置彰显市示范性高中的引领价值。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part3-3">四、 课程规范落实</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">38.1</div>
|
||
<div class="diff negative">
|
||
-9.6 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">47.7</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-1">水平 1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">7/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 240/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part3-3" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 4 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 active">
|
||
水平 1 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平1含义：</strong>基本没有建设规范文本，档案尚未建成
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在课程规范落实子维度的得分为<strong>38.12分</strong>，低于奉贤区均值47.68分，差距达<strong>9.55分</strong>，处于<strong>水平1</strong>。水平1的具体含义为：基本没有建立课程建设规范文本，过程性档案尚未建成。这意味着贵校在课程规范化管理的基础性工作层面存在严重缺失，课程实施缺乏必要的价值定位依托与制度保证，课程管理工作的可追溯性与系统性均有较大隐患。</p>
|
||
|
||
<p>从区内水平分布来看，处于水平3及以上的学校共6所，占比达<strong>75%</strong>；贵校与华理曙光同处水平1，仅占区内学校总数的25%。在区内8所学校的具体排名中，贵校位列<strong>第7名</strong>，东华致远（54.98分）、奉贤中学（52.63分）、奉城高中（51.18分）、上师大四附中（50.14分）等校已与贵校拉开较大差距，即便是同处较低水平的华理曙光（37.81分），亦与贵校分差极小，贵校在该子维度几乎处于全区末位水平。需要特别指出的是，作为市实验性示范性高中，贵校理应在课程规范建设方面发挥区域示范引领作用，而当前表现与这一定位严重不符，形成明显落差。</p>
|
||
|
||
<p>贵校管理层须对该子维度的薄弱现状予以<strong>高度重视，并尽快排查结构性原因</strong>：是否存在课程管理职能分工不清、相关专职人员缺位的问题？是否缺乏统一的课程文本建设规范与档案管理制度？是否因学校处于城市郊区、师资编制相对紧张而导致课程管理行政支持不足？建议贵校从以下路径推进提升：一是<strong>尽快完善课程建设规范文本</strong>，明确课程方案、课程纲要等核心文本的撰写标准与审核流程；二是<strong>建立过程性档案管理机制</strong>，指定专人负责课程档案的收集、整理与归档；三是参照区内水平3及以上学校的经验，制定<strong>分阶段达标计划</strong>，力争在一学年内实现规范文本的全面建成与档案体系的基本落地。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part4">
|
||
<h1>第四部分 教学变革力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">教学变革力得分</div>
|
||
<div class="value">53.5</div>
|
||
<div class="diff positive">
|
||
+4.0 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">51.7</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">1/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 39/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge good">表现较好</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part4" class="chart"></div>
|
||
<div class="chart-title">图4-1 教学变革力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part4" class="chart"></div>
|
||
<div class="chart-title">图4-2 教学变革力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教学变革力总体得分为53.5分，高于区均值49.5分，领先幅度达4.0分，整体表现较为突出。从各子维度来看，教学方式变革（54.9分）与作业设计与管理变革（52.1分）均高于区均值，两项维度间分差仅为2.8分，表明贵校在教学变革各方面发展较为均衡，尚可在作业设计与管理方面进一步发力，缩小与教学方式变革的差距。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part4" class="chart"></div>
|
||
<div class="chart-title">图4-3 教学变革力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part4" class="chart"></div>
|
||
<div class="chart-title">图4-4 教学变革力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part4" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图4-5 教学变革力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>
|
||
教学变革力衡量学校由知识本位向素养本位转型的深度与广度，涵盖教学方式变革与作业设计及管理变革两个核心层面。贵校在本维度得分为<strong>53.51分</strong>，高于奉贤区均值49.54分（领先<strong>+3.97分</strong>），亦高于同类学校均值51.72分，整体聚类评级为"较好"，在区内8所参评学校中位列<strong>第1名</strong>，展现出相对领先的变革态势。
|
||
</p>
|
||
|
||
<p>
|
||
从两个子维度的得分分布来看，<strong>教学方式变革</strong>得分为54.93分（水平4），是贵校在本维度中表现最为突出的方面；<strong>作业设计与管理变革</strong>得分为52.09分（水平3），相对偏低，是当前最薄弱的子维度。两者之间分差约为2.84分，差距尚在合理范围之内，未呈现明显的内部分化，但作业设计与管理变革的绝对得分及所处水平仍有较大提升空间，需给予针对性关注。
|
||
</p>
|
||
|
||
<p>
|
||
与区内其他学校横向比较，贵校以53.51分居于首位，华理曙光以51.87分位列第二，上师大四附中（50.65分）、奉贤中学（50.34分）紧随其后，东华致远（47.60分）、美达菲（46.52分）、景秀高中（46.28分）得分相对靠后。贵校领先第二名华理曙光约1.64分，优势客观存在，但领先幅度并不悬殊，区域内整体竞争格局较为接近。作为市实验性示范性高中，贵校理应在教学变革领域对标更高标准，现有领先优势尚不足以充分体现课程改革引领示范的定位要求。
|
||
</p>
|
||
|
||
<p>
|
||
针对本维度的薄弱环节，提出以下改进建议：其一，贵校应重点聚焦<strong>作业设计与管理变革</strong>，当前水平3的评级意味着在作业的结构性设计、分层布置及减负增效机制上仍存在改进空间，建议系统梳理各学科作业的目标导向与认知层次，推动从"题量覆盖"向"素养指向"的实质性转变；其二，建议将教学方式变革的已有经验进行校内系统化提炼与推广，同步带动作业设计理念的更新，形成"课堂变革—作业配套"的整体联动机制，以更好彰显市示范性高中在区域内的引领作用。
|
||
</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>教学变革力各子维度水平对比 (表 4-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>教学方式变革</td>
|
||
<td class="lv4">水平 4</td>
|
||
<td>54.9</td>
|
||
<td>50.2</td>
|
||
<td>1/8</td>
|
||
|
||
<td>23/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>作业设计与管理变革</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>52.1</td>
|
||
<td>48.9</td>
|
||
<td>1/8</td>
|
||
|
||
<td>64/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part4-1">二、 教学方式变革</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">54.9</div>
|
||
<div class="diff positive">
|
||
+4.7 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">50.2</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-4">水平 4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">1/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 23/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part4-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 active">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 4 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平4含义：</strong>所有老师有共识和研究，并能够系统设计、有效实施，至少有3种常态化落实形式
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在教学方式变革子维度的得分为<strong>54.93分</strong>，高于奉贤区均值50.19分，领先幅度达<strong>+4.74分</strong>，位列区内水平4，即"所有老师有共识和研究，并能够系统设计、有效实施，至少有3种常态化落实形式"。这一水平表明，贵校在推动学生主动参与、探究合作、跨学科融合及信息技术常态化应用等方面，已形成全员认同与系统落地的良好态势。</p>
|
||
|
||
<p>从区内水平分布来看，8所学校中仅有<strong>1所（占比12.5%）</strong>达到水平4，贵校即为唯一代表，区内排名<strong>第1位</strong>。处于水平3的学校有4所（占比50%），水平2有2所（占比25%），水平1有1所（占比12.5%）。与区内同类学校相比，贵校（54.93分）明显领先于第二名华理曙光（52.14分）及上师大四附中（50.56分），整体竞争优势较为突出。</p>
|
||
|
||
<p>贵校已在教学方式变革上走在全区前列，但作为市实验性示范性高中，仍应以更高标准审视现有成果，在以下方向持续深化：其一，建议将现有的3种常态化教学形式进行系统梳理与案例提炼，形成可复制、可推广的校本教学范式，发挥对区域内其他学校的辐射引领作用；其二，可进一步探索跨学科项目式学习的深度实施路径，推动信息技术与学科教学的深层融合，而非停留于工具层面的常态化；其三，建议建立教学方式变革的校内持续评估机制，定期追踪学生学习深度与学习自主性的发展变化，以数据驱动教学迭代，巩固并扩大现有领先优势。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part4-2">三、 作业设计与管理变革</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">52.1</div>
|
||
<div class="diff positive">
|
||
+3.2 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">48.9</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">1/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 64/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part4-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 4 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>在每类创新性作业中至少掌握2种类型，偶有时长控制管理，面批为主，有至少两种属性标注
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在作业设计与管理变革子维度的得分为<strong>52.09分</strong>，高于奉贤区均值48.89分，领先幅度为<strong>+3.20分</strong>，处于<strong>水平3</strong>。该水平的具体表现为：在每类创新性作业中至少掌握2种类型，偶有时长控制管理，以面批为主要反馈方式，并具备至少两种属性标注维度。整体而言，贵校在作业设计的多样性与反馈机制上已初步形成一定规范，但在系统化、持续化管理方面仍有较大提升空间。</p>
|
||
|
||
<p>从区内分布来看，奉贤区8所学校中达到水平3及以上的共有<strong>4所（占50%）</strong>，目前尚无学校达到水平4。贵校以52.09分位居<strong>区内第1名</strong>，与第二名华理曙光（51.6分）、第三名上师大四附中（50.73分）分差较小，整体梯队较为集中。值得关注的是，区内所有学校均未突破水平3天花板，说明该子维度在全区范围内普遍存在系统化程度不足的共性问题，贵校虽领跑全区，但绝对分值仍偏低，与水平4之间存在明显差距。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校现有基础值得肯定，但对标更高定位，仍需在以下方面发力：<strong>第一</strong>，将"偶有"的时长控制机制升级为校级统一管理制度，建立分科作业时长标准并定期监测执行情况；<strong>第二</strong>，在创新性作业类型上进一步拓展至每类至少3种，丰富探究性、跨学科、项目制等多元形式；<strong>第三</strong>，将当前以面批为主的反馈方式向定期批改与评价相结合的模式转型，并形成可追溯的记录机制；<strong>第四</strong>，推动作业属性标注多元化，涵盖难度、课标关联、认知层次等维度，为学生精准学习提供支撑。建议贵校以此为突破口，率先在区内探索形成可推广的作业管理规范体系，发挥应有的引领示范价值。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part5">
|
||
<h1>第五部分 学生发展指导力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">学生发展指导力得分</div>
|
||
<div class="value">51.3</div>
|
||
<div class="diff positive">
|
||
+3.9 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">51.5</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 107/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge good">表现较好</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part5" class="chart"></div>
|
||
<div class="chart-title">图5-1 学生发展指导力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part5" class="chart"></div>
|
||
<div class="chart-title">图5-2 学生发展指导力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校学生发展指导力总体得分为51.3分，高于区均值47.4分3.9分，整体表现较为突出。从各子维度来看，学生生涯发展指导（52.8分）与学科发展的个性化辅导（49.8分）两项得分均衡，最高与最低子维度仅相差3.0分，说明贵校在学生发展指导各方面发展较为均衡，其中生涯发展指导方面优势相对更为明显。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part5" class="chart"></div>
|
||
<div class="chart-title">图5-3 学生发展指导力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part5" class="chart"></div>
|
||
<div class="chart-title">图5-4 学生发展指导力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教师在学生发展指导力各子维度上表现均衡且良好，两项子维度均高于区均值，无低于区均值的子维度。其中，学科发展的个性化辅导达到水平2，学生生涯发展指导达到水平3，后者水平相对更高，表明贵校教师在引导学生规划生涯发展方面具有较强实践能力。</p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part5" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图5-5 学生发展指导力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校学生发展指导力得分为51.3分，高于区均值47.4分（差值+3.9分），在区内8所学校中排名第2，处于区内中上水平。散点图中各校分布情况表明，贵校在学生发展指导力各子指标上的综合表现较为突出，具备一定的领先优势，但与第1名之间仍存在可提升空间。</p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>学生发展指导力涵盖学科学习的精准辅导与面向未来的生涯规划两大核心领域，是衡量学校为学生提供全面、个性化发展支持能力的重要维度。贵校在该维度得分为51.30分，高于奉贤区均值47.37分（+3.92分），但与同类学校均值51.45分相比仍有微弱差距（-0.15分），整体处于区域中上水平，被归入"较好"聚类，尚未达到作为市实验性示范性高中应有的引领高度。</p>
|
||
|
||
<p>从两项子维度的得分分布来看，学生生涯发展指导（52.79分，水平3）明显优于学科发展的个性化辅导（49.80分，水平2），两者分差约3分，内部结构尚属均衡，未出现显著分化。其中，生涯发展指导表现相对稳健，而学科个性化辅导仅达水平2，是贵校在该维度的相对薄弱环节，拖低了整体表现，有待重点关注。</p>
|
||
|
||
<p>与区内八所学校横向比较，贵校以51.30分位列区内第2名，与第1名奉贤中学（54.53分）存在3.23分差距，与第3名景秀高中（51.28分）几乎持平，领先优势较为薄弱。区内其余学校依次为华理曙光（49.61分）、上师大四附中（48.65分）、东华致远（45.27分）、奉城高中（42.99分）及美达菲（35.38分）。贵校排名靠前，但第2名与第1名之间仍有可见差距，且与紧随其后的景秀高中几乎同分，排名并不稳固。</p>
|
||
|
||
<p>针对贵校当前最弱子维度——学科发展的个性化辅导（49.80分，区内排名第3），建议从以下两方面着手改进：其一，建立基于学情数据的分层辅导机制，依据学生学业诊断结果制定差异化学习支持方案，使个性化辅导落到实处而非停留于形式；其二，加强教师在精准辅导方面的专业能力建设，尤其是运用数据工具识别学生学习障碍、设计针对性干预策略的能力，以期将该子维度的实践水平提升至与学校定位相匹配的层级。</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>学生发展指导力各子维度水平对比 (表 5-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>学科发展的个性化辅导</td>
|
||
<td class="lv2">水平 2</td>
|
||
<td>49.8</td>
|
||
<td>48.1</td>
|
||
<td>3/8</td>
|
||
|
||
<td>122/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>学生生涯发展指导</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>52.8</td>
|
||
<td>47.3</td>
|
||
<td>4/8</td>
|
||
|
||
<td>119/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part5-1">二、 学科发展的个性化辅导</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">49.8</div>
|
||
<div class="diff positive">
|
||
+1.7 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">48.1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-2">水平 2</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">3/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 122/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part5-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 active">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平2含义：</strong>各学科平均辅导时长每周1小时以内，学生提出需求后教师辅导，分组统一或分散辅导
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在学科发展的个性化辅导子维度得分为49.80分，高于奉贤区均值48.12分，差距为+1.69分，处于<strong>水平2</strong>。该水平的具体表现为：各学科平均辅导时长每周1小时以内，教师在学生提出需求后方予以辅导，辅导形式以分组统一或分散辅导为主。这意味着贵校目前尚未形成教师主动研判学情、有针对性地开展个别精准辅导的常态化机制，辅导的驱动力仍以学生需求为导向，而非基于教师对学生学情的系统性诊断。</p>
|
||
|
||
<p>从区内分布来看，奉贤区8所学校中（奉城高中数据缺失，实际参与比较为7所），处于水平3及以上的学校共2所，占比25.0%；处于水平2的学校3所，占比37.5%；仍有3所学校处于水平1。贵校以49.80分位列区内第3名，成绩居于中上游，略高于华理曙光（49.22分）、景秀高中（47.71分）等校，但与区内领先的美达菲（51.81分）和奉贤中学（50.33分）仍存在一定差距，尤其两所达到水平3的学校已在辅导时长与精准化程度上形成明显优势。</p>
|
||
|
||
<p>考虑到贵校作为市实验性示范性高中的定位，现有水平2的表现与其应发挥的课程改革引领示范作用之间存在明显落差，有必要制定切实的提升路径。建议贵校从以下方面着力推进：<strong>其一</strong>，建立基于学情诊断的辅导内容确定机制，推动教师从"被动应需"转向"主动研判"，将学情分析纳入辅导前置流程；<strong>其二</strong>，逐步将各学科辅导时长提升至每周1至2小时，并探索以个别化、分散辅导为主的辅导形式，向水平3标准靠拢；<strong>其三</strong>，依托学校现有优质师资资源，试点建立"学科辅导导师制"，形成可推广的个性化辅导范式，切实体现示范引领价值。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part5-2">三、 学生生涯发展指导</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">52.8</div>
|
||
<div class="diff positive">
|
||
+5.5 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">47.3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">4/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 119/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part5-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>外请讲座实施，三年覆盖70-90%学生，外聘教师队伍，校内外资源有一些支持
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在学生生涯发展指导子维度的得分为<strong>52.79分</strong>，高于奉贤区均值47.27分（领先<strong>+5.51分</strong>），处于<strong>水平3</strong>。该水平的具体表现为：主要以外请讲座形式开展生涯教育，三年内覆盖70%至90%的学生，依赖外聘教师队伍实施，校内外资源对生涯指导工作有一定支持，但尚未形成系统化、常态化的课程体系。</p>
|
||
|
||
<p>从区内分布来看，全区8所学校中，达到水平3及以上的学校共4所（占比50%），贵校在区内排名第<strong>4位</strong>，处于水平3梯队的末端。领先贵校的3所学校分别为：奉贤中学（58.73分）、景秀高中（54.85分）、上师大四附中（53.93分），其中奉贤中学已接近水平4标准；区内仅1所学校达到水平4（占比12.5%），而贵校与该最高水平之间仍存在明显差距。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校的生涯发展指导水平尚停留于"外请讲座+外聘师资"的初级阶段，与其定位要求之间存在较为明显的落差。建议贵校重点从以下方向推进提升：其一，<strong>建设专设生涯指导课程</strong>，将生涯教育纳入校本课程体系，制定三年连贯的课程方案，将覆盖率提升至90%以上；其二，<strong>培育本校专职生涯导师队伍</strong>，减少对外聘教师的单一依赖，通过培训认证形成稳定的校内师资力量；其三，<strong>系统整合校内外资源</strong>，建立生涯实践基地、校友资源库及高校对接机制，为学生提供更为充分的体验支撑。鉴于贵校的示范定位，生涯教育应成为引领区域的亮点，而非仅仅维持中游水准，建议校方将其列入近期课程改革的专项推进议程。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part6">
|
||
<h1>第六部分 教师发展支持力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">教师发展支持力得分</div>
|
||
<div class="value">50.6</div>
|
||
<div class="diff positive">
|
||
+0.6 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">53.9</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">3/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 96/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge good">略高于区均</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part6" class="chart"></div>
|
||
<div class="chart-title">图6-1 教师发展支持力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part6" class="chart"></div>
|
||
<div class="chart-title">图6-2 教师发展支持力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part6" class="chart"></div>
|
||
<div class="chart-title">图6-3 教师发展支持力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part6" class="chart"></div>
|
||
<div class="chart-title">图6-4 教师发展支持力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part6" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图6-5 教师发展支持力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教师发展支持力得分为50.6分，高于区均值49.9分（差值+0.6分），在区内8所学校中排名第3，处于中上水平。散点图中各校分布情况表明，贵校在教师发展支持力各子指标上的综合表现略优于区域平均水平，但与排名靠前的学校相比仍存在一定提升空间。</p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>教师发展支持力衡量学校在教师专业成长方面的制度保障与资源投入能力，涵盖培训支持、教研支持与项目支持三个子维度。贵校在该维度得分为50.57分，略高于奉贤区均值49.93分（高出0.63分），但与同类学校均值53.88分相比存在3.31分的明显差距，整体处于中等水平，距离市实验性示范性高中应有的引领示范标准仍有较大提升空间。</p>
|
||
|
||
<p>从三个子维度的得分分布来看，贵校内部发展并不均衡。教研支持以55.05分位居最高，达到水平4，是贵校在该维度的相对优势所在；培训支持得分49.00分，处于水平3；项目支持得分最低，仅为47.64分，处于水平2，为贵校三项子维度中的最弱环节。值得注意的是，教研支持与项目支持之间存在7.41分的分差，虽未达到10分的显著分化阈值，但已呈现出较明显的内部不均衡态势，教研层面的积累尚未有效转化为项目层面的支持成效。</p>
|
||
|
||
<p>横向与区内八所学校对比，贵校以50.57分位列第3名，紧随奉贤中学（63.41分）和东华致远（50.62分）之后，与东华致远仅相差0.05分，领先优势极为有限。奉贤中学以63.41分遥遥领先，与贵校差距达12.84分，显示出区内头部学校在教师发展支持方面已形成较强的体系优势。贵校虽排名居中，但考虑到其市实验性示范性高中的定位，现有得分水平与应承担的区域引领职能之间仍存在明显落差。</p>
|
||
|
||
<p>针对贵校当前最薄弱的项目支持子维度（47.64分，水平2，区内排名第4），建议从两个方向着力改进：其一，依托贵校在教研支持方面的相对优势，将已有教研成果系统转化为课题立项、项目申报的具体依据，打通教研成果向项目资源的转化通道；其二，主动对接市级及区级教师发展项目平台，建立教师参与专项发展项目的激励与追踪机制，提升教师在各类支持性项目中的参与率与成果转化率，从而带动整体教师发展支持力向同类学校均值水平靠拢。</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>教师发展支持力各子维度水平对比 (表 6-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>培训支持</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>49.0</td>
|
||
<td>49.1</td>
|
||
<td>4/8</td>
|
||
|
||
<td>155/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>教研支持</td>
|
||
<td class="lv4">水平 4</td>
|
||
<td>55.0</td>
|
||
<td>51.4</td>
|
||
<td>2/8</td>
|
||
|
||
<td>36/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>项目支持</td>
|
||
<td class="lv2">水平 2</td>
|
||
<td>47.6</td>
|
||
<td>50.6</td>
|
||
<td>4/8</td>
|
||
|
||
<td>123/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part6-1">二、 培训支持</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">49.0</div>
|
||
<div class="diff negative">
|
||
-0.1 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">49.1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">4/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 155/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part6-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>各学科教师平均外出培训人数≥1.5人
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校培训支持维度得分为49.00分，与奉贤区均值49.12分相差仅0.12分，差异极小，整体处于区域平均水平。贵校当前处于<strong>水平3</strong>，意味着各学科教师平均外出培训人数≥1.5人，表明学校已具备一定的外出培训机制，能够保障教师获得相对稳定的外出学习机会，但尚未达到更高层级的培训覆盖水平。</p>
|
||
|
||
<p>从区内水平分布来看，奉贤区8所学校中，处于水平3及以上的学校合计占比约50%（水平3共3所，水平4共1所），贵校位列区内第4名。横向与各校对比，奉贤中学（51.81分）、东华致远（49.79分）及华理曙光（49.75分）均高于贵校，其中奉贤中学领先幅度相对明显。景秀高中、美达菲及上师大四附中得分低于贵校，处于水平2甚至更低层级。整体而言，贵校在区内属于中等偏上位置，但作为市实验性示范性高中，与区内领先学校相比仍存在一定差距。</p>
|
||
|
||
<p>贵校定位为市实验性示范性高中，理应在教师专业发展方面发挥区域引领作用，而当前水平3的表现与该定位之间存在明显落差——距水平4（各学科教师平均外出培训人数≥2.5人）尚有提升空间。建议贵校从以下几个方面着力突破：一是建立系统化的外出培训制度，将各学科人均外出培训次数纳入年度工作指标，确保每位教师都有均等的参训机会；二是拓宽培训资源渠道，积极对接市级、全国乃至国际层面的高端培训项目，提升培训的层次与含金量；三是强化培训效能转化机制，要求参训教师开展成果汇报与校内辐射，使外出培训的价值在校内得到充分放大，真正体现示范性高中对区域课程改革的引领作用。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part6-2">三、 教研支持</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">55.0</div>
|
||
<div class="diff positive">
|
||
+3.6 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">51.4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-4">水平 4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 36/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part6-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 active">
|
||
水平 4 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平4含义：</strong>教研的数量和质量均较高
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校教研支持维度得分为55.05分，高于奉贤区均值51.41分3.65个百分点，处于<strong>水平4</strong>，即"教研的数量和质量均较高"。这一结果表明，贵校在教研活动的开展频次与活动质量两个层面均保持了较好水准，能够为教师专业发展提供有效的教研机制支撑。</p>
|
||
|
||
<p>从区内水平分布来看，奉贤区8所高中中仅有2所（占25.0%）达到水平4，贵校正是其中之一，另一所为奉贤中学（56.79分，区内排名第1）。贵校以55.05分位居区内第2，与奉贤中学差距约1.74分，整体处于区域领先梯队。相较之下，区内仍有2所学校（25.0%）处于水平1，教研生态分化较为明显。作为市实验性示范性高中，贵校在教研支持方面的表现具备一定的区域示范基础。</p>
|
||
|
||
<p>贵校已在教研支持方面积累了较好的实践经验，建议在此基础上进一步深化与提升。一是<strong>提升教研活动的辐射深度</strong>，推动校内优质教研成果系统化、文档化，形成可共享的教研资源库；二是<strong>建立常态化的跨校联合教研机制</strong>，借助市实验性示范性高中的平台优势，主动与区内薄弱学校开展教研共建，发挥示范引领作用；三是<strong>引入数据驱动的教研评估机制</strong>，将教研活动对课堂教学改进的实际效果纳入评价体系，推动教研从"数量达标"向"成效可见"持续跃升，争取缩小与区内第一梯队的差距，进一步巩固全市层面的引领地位。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part6-3">四、 项目支持</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">47.6</div>
|
||
<div class="diff negative">
|
||
-3.0 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">50.6</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-2">水平 2</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">4/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 123/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part6-3" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 active">
|
||
水平 2 · 5 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平2含义：</strong>各学科没有负责的校级以上项目，部分学科有校级项目至少一个
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在"项目支持"子维度的得分为47.64分，低于奉贤区均值50.62分，差距为2.98分，处于<strong>水平2</strong>。该水平的具体含义为：各学科均没有负责的校级以上项目，仅部分学科设有至少一个校级项目。这意味着贵校教师参与课题项目的深度与广度尚显不足，以项目引领教师专业发展的机制尚未形成全学科覆盖的格局。</p>
|
||
|
||
<p>从区内水平分布来看，奉贤区8所学校中有5所（占62.5%）处于水平2，贵校与大多数同区学校处于相同水平层级。处于水平2及以上（含水平3、水平4）的学校共6所，占比75%。得分排名方面，奉贤中学以81.63分遥遥领先，已达水平4，其余学校差距较为接近，贵校以47.64分位列区内第4名，略高于景秀高中（46.18分）、奉城高中（44.90分）等校，处于区内中游偏上位置，尚未拉开明显差距。</p>
|
||
|
||
<p>然而，贵校作为市实验性示范性高中，应承担更高层次的课程改革引领与示范职责，当前水平2的表现与这一定位之间存在明显落差，亟需重视。建议贵校从以下路径推动提升：<strong>一是制度层面</strong>，建立健全教师申报市级、区级课题项目的激励与支持机制，明确立项指标与配套资源保障；<strong>二是学科层面</strong>，梳理各学科课题项目覆盖现状，重点推动目前尚无校级及以上项目的学科主动申报，逐步实现全学科覆盖；<strong>三是引领层面</strong>，充分发挥骨干教师、学科带头人的示范作用，带动青年教师参与课题研究，形成"以项目促成长"的学校文化，为迈向水平3乃至水平4奠定基础。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part7">
|
||
<h1>第七部分 教育质量评估力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">教育质量评估力得分</div>
|
||
<div class="value">42.0</div>
|
||
<div class="diff negative">
|
||
-6.7 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">53.4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 223/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge weak">待提升</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part7" class="chart"></div>
|
||
<div class="chart-title">图7-1 教育质量评估力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part7" class="chart"></div>
|
||
<div class="chart-title">图7-2 教育质量评估力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教育质量评估力总体得分为42.0分，低于区均值48.6分，差距达6.7分，整体水平有待提升。各子维度中，科学评价观得分相对较高（53.8分），而实践活动评估得分最低（35.6分），两者相差18.3分，表明贵校在评估理念的认知与实践操作之间存在明显落差，尤其需要加强学业质量评估（40.7分）、综合素质评估（37.7分）及实践活动评估等方面的能力建设。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part7" class="chart"></div>
|
||
<div class="chart-title">图7-3 教育质量评估力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part7" class="chart"></div>
|
||
<div class="chart-title">图7-4 教育质量评估力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教育质量评估力各子维度发展不均衡：科学评价观达到水平3，高于区均值，表现相对突出；而学业质量评估、综合素质评估及实践活动评估均仅处于水平1，低于区均值，是贵校在教育质量评估能力建设中亟需重点关注和提升的薄弱领域。</p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part7" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图7-5 教育质量评估力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>教育质量评估力衡量的是学校建立科学评价体系、全面监测教育质量的综合能力，涵盖评价理念、学业监测、综合素质与实践活动等多个层面。本次测评中，贵校该维度得分为41.96分，低于奉贤区均值48.60分达6.65分，与同类市实验性示范性高中均值53.42分相比差距更为显著，聚类结果归入"待提升"类别，整体水平有待较大幅度提升。</p>
|
||
|
||
<p>从各子维度的得分分布来看，贵校内部存在明显的结构性分化。科学评价观得分为53.84分，达到水平3，是四个子维度中唯一表现相对稳健的领域，区内排名第2；然而其余三个子维度——学业质量评估（40.74分）、综合素质评估（37.70分）、实践活动评估（35.56分）——均处于水平1，且区内排名均位列第8，即区内垫底位置。值得特别指出的是，得分最高的科学评价观与得分最低的实践活动评估之间相差18.28分，内部分化程度极为突出，说明贵校评价理念的认知层面与实际落地操作之间存在较大断层，三项操作性子维度亟需改进。</p>
|
||
|
||
<p>与区内其他七所学校横向比较，贵校以41.96分位居区内第8名，为区内最低分。区内得分最高的奉贤中学达58.97分，领先贵校逾17分；上师大四附中（52.06分）、华理曙光（49.78分）等校均明显高于贵校；即便是区内排名靠后的美达菲（44.79分）亦高于贵校约3分。贵校在该维度上显著落后于区内所有同类学校，与承担区域课程改革引领示范职能的定位要求之间存在较大落差。</p>
|
||
|
||
<p>针对贵校当前最为薄弱的两个领域，建议重点从以下方向推进改进：其一，在实践活动评估方面，建立规范化的过程性记录与评价机制，将学生实践活动的参与质量、成果表现纳入可量化、可追溯的评估框架，逐步形成有效的数据积累；其二，在综合素质评估方面，参照市级课改示范校的成熟经验，建立多维度、多主体的素质评价工具体系，避免评价流于形式，真正将评价结果反哺教育教学改进决策，推动评价理念向实践层面切实转化。</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>教育质量评估力各子维度水平对比 (表 7-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>科学评价观</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>53.8</td>
|
||
<td>49.6</td>
|
||
<td>2/8</td>
|
||
|
||
<td>101/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>学业质量评估</td>
|
||
<td class="lv1">水平 1</td>
|
||
<td>40.7</td>
|
||
<td>46.8</td>
|
||
<td>8/8</td>
|
||
|
||
<td>231/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>综合素质评估</td>
|
||
<td class="lv1">水平 1</td>
|
||
<td>37.7</td>
|
||
<td>49.8</td>
|
||
<td>8/8</td>
|
||
|
||
<td>238/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>实践活动评估</td>
|
||
<td class="lv1">水平 1</td>
|
||
<td>35.6</td>
|
||
<td>48.2</td>
|
||
<td>8/8</td>
|
||
|
||
<td>241/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part7-1">二、 科学评价观</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">53.8</div>
|
||
<div class="diff positive">
|
||
+4.2 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">49.6</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 101/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part7-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>至少有三个方面关注两项素养发展
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part7-2">三、 学业质量评估</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">40.7</div>
|
||
<div class="diff negative">
|
||
-6.1 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">46.8</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-1">水平 1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 231/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part7-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 active">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平1含义：</strong>未能重视学业质量评估，校本化评价工具均欠缺
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在学业质量评估子维度的得分为<strong>40.74分</strong>，低于奉贤区均值46.80分，差距达<strong>6.06分</strong>，处于<strong>水平1</strong>。水平1意味着贵校未能有效重视学业质量评估工作，校本化评价工具普遍欠缺，尚未建立系统性的评价体系。作为市实验性示范性高中，贵校本应在评价改革领域发挥示范引领作用，这一结果与其定位之间存在明显落差，值得高度重视。</p>
|
||
|
||
<p>从区内水平分布来看，达到水平2及以上的学校共7所，合计占比<strong>87.5%</strong>，即绝大多数区内学校均已至少研制了一项校本化评价工具。贵校是区内<strong>8所高中中唯一处于水平1</strong>的学校，在区内排名第8位，位居末位。对照具体学校，奉贤中学（54.71分）、华理曙光（50.45分）、奉城高中（50.00分）等校均已达到水平3或水平4，即便东华致远（42.81分）、上师大四附中（42.92分）等校也均高于贵校。这一横向对比表明，贵校在该子维度的薄弱并非区域整体问题，而是贵校自身在评价建设方面存在明显短板。</p>
|
||
|
||
<p>语气须在此处严肃指出：贵校作为郊区背景下的市级示范性高中，在全区垫底这一结果反映出可能存在的<strong>结构性问题</strong>，建议管理层立即排查以下根因：其一，是否缺乏推动校本化评价工具研制的制度安排与专项工作机制？其二，是否存在师资力量或教研能力不足、导致评价工具开发缺乏支撑的问题？其三，学校层面是否对学期考试质量分析的规范性与属性标注有明确的制度要求？</p>
|
||
|
||
<p>建议贵校将学业质量评估建设列为近期重点整改事项，分步落实：<strong>短期内</strong>，在至少一门核心学科中启动校本化评价工具的研制与试用，迈入水平2；<strong>中期内</strong>，推动多学科评价工具覆盖，建立学期考试质量分析的常态化制度，力争升至水平3；<strong>长期目标</strong>是完善考试属性标注体系，向水平4迈进，真正体现市级示范高中在评价改革领域应有的引领能力。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part7-3">四、 综合素质评估</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">37.7</div>
|
||
<div class="diff negative">
|
||
-12.1 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">49.8</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-1">水平 1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 238/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part7-3" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 4 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 active">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平1含义：</strong>未能重视校本化综合素质评价，方案、工具和结果使用等均欠缺
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在综合素质评估子维度的得分为<strong>37.70分</strong>，低于奉贤区均值49.77分，差距达<strong>12.08分</strong>，处于<strong>水平1</strong>。该水平的含义为：未能重视校本化综合素质评价，方案、工具和结果使用等均欠缺——即贵校在综合素质评价的顶层方案设计、具体评价工具开发以及评价结果的反馈与运用等核心环节上均存在明显缺失，尚未形成系统性、校本化的综合素质评价体系。</p>
|
||
|
||
<p>从区内水平分布来看，处于水平2及以上的学校共7所，占比<strong>87.5%</strong>；达到水平3及以上的学校共3所，占比37.5%。贵校以37.70分位列区内<strong>第8名，排名末位</strong>，与区内最高分奉贤中学（61.05分）相差逾23分，与次低分美达菲（43.67分）亦有近6分差距，在全区8所高中中呈现出明显的断层式落后态势。即便与同为水平2的奉城高中（46.01分）、华理曙光（46.57分）相比，贵校的分差亦不容忽视。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校理应在课程改革与学生评价体系建设上发挥区域引领作用，而综合素质评估垫底的现状与这一定位形成了严峻的反差。管理层<strong>需立即排查深层原因</strong>：是否缺乏专职负责综合素质评价工作的师资或职能部门？是否尚未出台相关制度文件与实施方案？是否在信息化平台建设上存在空白？建议贵校采取以下提升路径：<strong>第一步</strong>，尽快研制校本化综合素质评价方案，明确评价维度、标准与实施流程；<strong>第二步</strong>，依托方案开发配套评价工具，包括过程性记录表、写实性评语规范及佐证材料采集机制；<strong>第三步</strong>，引入或对接数字化评价平台，实现数据留存与结果可视化；<strong>第四步</strong>，将评价结果切实运用于学生发展指导、选课走班及综合素质档案建档，形成评价闭环。建议将上述工作纳入学校年度重点工作计划，并制定专项整改方案，设定明确的阶段性目标与责任人，确保在下一评估周期内实现实质性跨越。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part7-4">五、 实践活动评估</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">35.6</div>
|
||
<div class="diff negative">
|
||
-12.7 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">48.2</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-1">水平 1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">8/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 241/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part7-4" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 active">
|
||
水平 1 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平1含义：</strong>研究性学习、社会考察和学科实践活动的校本化评价工具均尚未研制和使用
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在"实践活动评估"子维度的得分为<strong>35.56分</strong>，低于奉贤区均值48.20分，差距达<strong>12.65分</strong>，处于<strong>水平1</strong>。水平1意味着贵校在研究性学习、社会考察和学科实践活动三类实践活动中，<strong>均未研制也未使用任何校本化评价工具</strong>，是该维度评估体系中的最低层级，反映出贵校在实践活动评价制度建设方面几乎处于空白状态。</p>
|
||
|
||
<p>从区内分布来看，奉贤区8所学校中，处于水平4的学校有3所（占37.5%），水平3有1所（12.5%），水平2有1所（12.5%），即<strong>有62.5%的学校已研制出不同程度的校本化评价工具</strong>，另有37.5%的学校与贵校同处水平1。具体而言，奉贤中学（61.67分）、上师大四附中（56.33分）、华理曙光（51.41分）等校均已在相关评价工具的研制与使用方面取得实质性进展，贵校以35.56分位居区内<strong>第8名，即末位</strong>，与位列第7的奉城高中（42.18分）仍有6.62分的差距，与区内领先学校的差距则更为显著。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校理应在课程改革特别是实践性学习评价领域发挥引领示范作用，然而当前实践活动评估处于区内垫底位置，这一结果不容回避。管理层须<strong>立即追问深层结构性原因</strong>：是否存在对实践活动校本评价工具研制的制度性忽视？是否缺乏牵头负责的职能部门或专项推进机制？是否因师资力量配置不足导致评价工具开发长期搁置？建议贵校尽快启动专项整改：<strong>第一步</strong>，优先研制学科实践活动评价工具（以达到水平2为近期目标）；<strong>第二步</strong>，将研究性学习与社会考察评价工具的研制纳入学年重点任务，明确时间节点与责任人；<strong>第三步</strong>，推动工具落地使用，形成"研制—试用—反馈—完善"的闭环机制，力争在一至两个学年内跨越至水平4，补齐这一影响贵校整体办学质量评估的短板。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part8">
|
||
<h1>第八部分 教育条件保障力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">教育条件保障力得分</div>
|
||
<div class="value">55.9</div>
|
||
<div class="diff positive">
|
||
+8.2 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">53.1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">1/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 42/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge good">表现较好</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part8" class="chart"></div>
|
||
<div class="chart-title">图8-1 教育条件保障力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part8" class="chart"></div>
|
||
<div class="chart-title">图8-2 教育条件保障力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教育条件保障力总体得分55.9分，高于区均值47.7分，领先优势达8.2分。三个子维度中，区域推进得分最高（61.6分），资源支持次之（56.1分），环境支持相对薄弱（50.1分），最高与最低维度间存在11.5分的差距，说明贵校在条件保障的整体推进上表现较优，但各支撑要素的均衡性仍有提升空间。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part8" class="chart"></div>
|
||
<div class="chart-title">图8-3 教育条件保障力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part8" class="chart"></div>
|
||
<div class="chart-title">图8-4 教育条件保障力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教育条件保障力各子维度表现均衡且整体良好，区域推进达到水平4，环境支持与资源支持均达到水平3，三项子维度得分全部高于区均值，无低于区均值的维度，表明贵校在推动区域教育协同、优化学习环境及配置教育资源等方面均具备较为扎实的基础，整体保障能力处于较高水平。</p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part8" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图8-5 教育条件保障力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校教育条件保障力得分为55.9分，高于区均值47.7分（差值+8.2分），区内排名第1/8，处于区内领先水平。散点图直观呈现了区内各校在该维度的分布格局，贵校在教育条件保障各子指标的综合表现上明显优于多数同区学校。</p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>教育条件保障力衡量学校在区域政策支持、硬件环境及资源配置方面为课程实施提供保障的综合能力，涵盖区域推进、环境支持与资源支持三个子维度。贵校在该维度的得分为55.93分，高于奉贤区均值47.70分约8.22分，亦高于同类学校均值53.07分，整体处于"较好"水平。</p>
|
||
|
||
<p>从三个子维度的得分分布来看，区域推进得分最高，达61.57分，达到水平4；资源支持次之，得分为56.15分，处于水平3；环境支持得分最低，仅为50.06分，同属水平3。值得注意的是，区域推进与环境支持之间存在约11.5分的分差，已超过10分的显著差异阈值，反映出贵校在该维度内部存在较为明显的发展不均衡现象——区域政策推进层面的支撑力度相对较强，而校园硬件环境建设则明显滞后，构成当前条件保障体系中的突出短板。</p>
|
||
|
||
<p>在区内横向比较中，贵校以55.93分位居8所学校首位，与排名第二的奉贤中学（55.48分）差距极小，仅0.45分；其余学校得分依次为东华致远50.34分、上师大四附中48.65分、奉城高中48.50分、景秀高中46.12分、华理曙光40.80分、美达菲35.80分。贵校整体领先优势较为明显，但考虑到其市实验性示范性高中的定位，与同类标杆学校的更高标准相比，当前得分仍有提升空间，尤其在环境支持方面距离引领示范的预期尚有差距。</p>
|
||
|
||
<p>针对贵校的薄弱环节，建议重点关注以下两方面：其一，环境支持得分50.06分是三个子维度中的最低项，建议贵校系统梳理现有硬件设施的缺口与短板，结合课程实施需求制定有针对性的环境改善计划，推动学习空间与教学设施的优化升级；其二，区域推进虽为贵校最强子维度，但鉴于贵校的示范引领定位，建议进一步深化与奉贤区教育主管部门的协同联动，将贵校在条件保障方面的探索经验辐射至区内其他学校，切实发挥引领带动作用。</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>教育条件保障力各子维度水平对比 (表 8-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>区域推进</td>
|
||
<td class="lv4">水平 4</td>
|
||
<td>61.6</td>
|
||
<td>49.6</td>
|
||
<td>2/8</td>
|
||
|
||
<td>66/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>环境支持</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>50.1</td>
|
||
<td>43.9</td>
|
||
<td>2/8</td>
|
||
|
||
<td>129/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>资源支持</td>
|
||
<td class="lv3">水平 3</td>
|
||
<td>56.1</td>
|
||
<td>49.6</td>
|
||
<td>2/8</td>
|
||
|
||
<td>63/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part8-1">二、 区域推进</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">61.6</div>
|
||
<div class="diff positive">
|
||
+11.9 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">49.6</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-4">水平 4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 66/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part8-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 active">
|
||
水平 4 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平4含义：</strong>召开会议平均一个月2次及以上，区域管理文件数量和措施均为最大值
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在"区域推进"子维度的得分为<strong>61.57分</strong>，高于奉贤区均值49.63分，领先幅度达<strong>+11.94分</strong>，处于<strong>水平4</strong>。该水平意味着区教育局召开相关会议的频次达到平均每月2次及以上，区域管理文件数量与配套措施均已达到最大值，体现出奉贤区教育局对贵校所在区域内高中课程教学工作的高度重视与系统性推动。</p>
|
||
|
||
<p>从区内水平分布来看，全区8所学校中仅有<strong>2所（占比25%）</strong>达到水平4，贵校与东华致远并列其中，同以61.57分位居区内第2名（并列第1）。其余学校中，水平3有3所（37.5%），水平2有2所（25%），水平1有1所（12.5%）。这一分布表明，贵校所获得的区级政策支持力度在区内具有明显优势，超过75%的学校所享有的区域推进力度弱于贵校所在梯队。</p>
|
||
|
||
<p>贵校已在"区域推进"这一子维度达到最高水平，区教育局的高频会议机制与完备的管理文件体系为贵校课程改革提供了有力的政策保障，成果值得充分肯定。然而，作为市实验性示范性高中，贵校不仅应是区域政策的受益者，更应主动承担课程改革的引领职责。建议贵校在现有基础上，积极将区级会议与文件转化为校本实施方案，形成可复制的经验模型，并借助区域平台向其他学校辐射推广，真正发挥示范引领作用，推动区域整体课程教学水平的协同提升。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part8-2">三、 环境支持</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">50.1</div>
|
||
<div class="diff positive">
|
||
+6.1 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">43.9</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 129/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part8-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>信息化支持和硬件在平均水平附近
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part8-3">四、 资源支持</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">56.1</div>
|
||
<div class="diff positive">
|
||
+6.6 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">49.6</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-3">水平 3</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 63/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part8-3" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 active">
|
||
水平 3 · 3 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 3 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平3含义：</strong>校内外资源至少有一项供给较好，师资水平较好
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="part9">
|
||
<h1>第九部分 数字化赋能力表现</h1>
|
||
|
||
<h2>一、整体表现</h2>
|
||
|
||
<div class="score-cards">
|
||
<div class="score-card">
|
||
<div class="label">数字化赋能力得分</div>
|
||
<div class="value">53.0</div>
|
||
<div class="diff positive">
|
||
+5.9 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">同类学校均值</div>
|
||
<div class="value" style="font-size:24px">51.5</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区内排名</div>
|
||
<div class="value">3/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 63/266
|
||
</div>
|
||
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">表现</div>
|
||
<div class="value" style="font-size:14px">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<span class="type-badge good">略高于区均</span>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- 维度独立得分柱状图 + 子维度雷达/柱状图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="dim-score-part9" class="chart"></div>
|
||
<div class="chart-title">图9-1 数字化赋能力得分情况</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="sub-radar-part9" class="chart"></div>
|
||
<div class="chart-title">图9-2 数字化赋能力各子维度得分情况</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校数字化赋能力总体得分53.0分，高于区均值47.1分，领先优势达5.9分。三个子维度中，教学方式创新（55.5分）与课程迭代优化（55.3分）表现突出，评价精准化与个性化（48.3分）得分相对较低，三项子维度间最高与最低分差为7.2分，提示贵校在推进数字化教学过程中，可重点关注评价体系的精准化与个性化建设，以进一步均衡各维度发展。</p>
|
||
</div>
|
||
|
||
<!-- 子维度柱状图 + 水平分布堆叠图 -->
|
||
<div class="chart-row">
|
||
<div class="chart-box">
|
||
<div id="chart-part9" class="chart"></div>
|
||
<div class="chart-title">图9-3 数字化赋能力各子维度对比详情</div>
|
||
</div>
|
||
<div class="chart-box">
|
||
<div id="level-part9" class="chart"></div>
|
||
<div class="chart-title">图9-4 数字化赋能力各子维度水平分布</div>
|
||
</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校数字化赋能力三个子维度呈现分化态势：教学方式创新与课程迭代优化均达到水平4，高于区均值，表现较为突出；而评价精准化与个性化仅处于水平2，明显低于区均值，是三项指标中的短板，也是贵校后续提升数字化赋能力的重点突破方向。</p>
|
||
</div>
|
||
|
||
<!-- 聚类散点图（2D或3D） -->
|
||
<div class="chart-box">
|
||
<div id="scatter-part9" class="chart" style="height:450px"></div>
|
||
<div class="chart-title">图9-5 数字化赋能力聚类分析散点图</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校数字化赋能力得分为53.0分，高于区均值47.1分（差值+5.9分），区内排名第3/8，处于区内中上水平。散点图中各校分布情况表明，贵校在数字化赋能力各子指标上的综合表现较为突出，具备一定的领先优势，但与头部学校相比仍存在进一步提升的空间。</p>
|
||
</div>
|
||
|
||
<!-- 维度整体LLM分析 -->
|
||
<div class="llm-analysis">
|
||
<p>数字化赋能力衡量学校运用数字技术推动教学创新、评价精准化及课程持续优化的整体能力，是学校数字化转型深度与广度的重要体现。贵校在该维度获得53.02分，高于奉贤区均值47.15分（领先5.87分），亦高于同类学校均值51.54分，区内排名第3位，整体处于区域中上水平。然而，作为市实验性示范性高中，贵校与区内领先学校之间的差距仍有收窄空间，且聚类结果被归入"待提升"类型，提示该维度的发展潜力尚未得到充分释放。</p>
|
||
|
||
<p>从三个子维度的得分分布来看，贵校呈现出明显的内部分化态势。教学方式创新（55.50分，水平4，区内第1）与课程迭代优化（55.27分，水平4，区内第2）表现相近，构成贵校数字化赋能力的两大支柱；而评价精准化与个性化仅获48.30分（水平2，区内第7），与上述两项子维度之间存在超过7分的分差，且排名骤降至区内倒数第二，显著落后于其他子维度的发展水平。这种"两强一弱"的结构性失衡说明，贵校在数字技术赋能课堂与课程层面已取得一定进展，但在数据驱动的精准评价与个性化反馈方面亟需改进，整体数字化能力的短板效应较为突出。</p>
|
||
|
||
<p>与区内其他学校横向比较，贵校53.02分位于第3位，落后于华理曙光（55.29分）和奉贤中学（53.51分），领先于美达菲（50.79分）、景秀高中（47.58分）、东华致远（46.51分）、上师大四附中（43.03分）和奉城高中（27.49分）。从分布来看，区内前三名分数较为接近，贵校与榜首华理曙光仅差2.27分，追赶难度相对有限；但考虑到贵校作为市示范性高中的定位要求，现有排名尚未能体现应有的引领优势，仍需进一步巩固强项、补齐短板。</p>
|
||
|
||
<p>针对贵校最薄弱的子维度——评价精准化与个性化，建议重点从以下两个方向推进改善：其一，系统引入或升级学业数据采集与分析工具，建立基于学生学习过程数据的动态评价体系，实现从结果性评价向过程性精准诊断的转变；其二，结合贵校在教学方式创新方面的已有基础，探索将数字化教学平台与评价模块深度整合，推动个性化学习路径的落地应用，以评价数据反哺课堂教学与课程优化，形成"教—学—评"数字化闭环。</p>
|
||
</div>
|
||
|
||
<!-- 水平对比表 -->
|
||
<h3>数字化赋能力各子维度水平对比 (表 9-1)</h3>
|
||
<table class="level-table">
|
||
<thead>
|
||
<tr>
|
||
<th>子维度</th>
|
||
<th>华二临港</th>
|
||
<th>得分</th>
|
||
<th>区均值</th>
|
||
<th>区内排名</th>
|
||
<th>全市排名</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
|
||
|
||
|
||
<tr>
|
||
<td>教学方式创新</td>
|
||
<td class="lv4">水平 4</td>
|
||
<td>55.5</td>
|
||
<td>51.4</td>
|
||
<td>1/8</td>
|
||
|
||
<td>21/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>评价精准化与个性化</td>
|
||
<td class="lv2">水平 2</td>
|
||
<td>48.3</td>
|
||
<td>52.1</td>
|
||
<td>7/8</td>
|
||
|
||
<td>210/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
|
||
|
||
<tr>
|
||
<td>课程迭代优化</td>
|
||
<td class="lv4">水平 4</td>
|
||
<td>55.3</td>
|
||
<td>44.0</td>
|
||
<td>2/8</td>
|
||
|
||
<td>121/266</td>
|
||
|
||
</tr>
|
||
|
||
|
||
</tbody>
|
||
</table>
|
||
|
||
<hr class="section-divider">
|
||
|
||
<!-- 各三级维度详细分析 -->
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part9-1">二、 教学方式创新</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">55.5</div>
|
||
<div class="diff positive">
|
||
+4.1 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">51.4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-4">水平 4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">1/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 21/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part9-1" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 active">
|
||
水平 4 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 5 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 0 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平4含义：</strong>信息技术与教学融合程度高，教师能常态化使用信息技术
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>贵校在教学方式创新维度的得分为<strong>55.50分</strong>，高于奉贤区均值51.40分，领先幅度达<strong>4.09分</strong>，处于<strong>水平4</strong>。该水平意味着贵校信息技术与教学融合程度高，教师已能够常态化地将信息技术手段融入日常教学实践，这一成果反映出贵校在推动技术赋能课堂方面已形成一定的制度保障与教师习惯。</p>
|
||
|
||
<p>从区内整体分布来看，奉贤区8所高中中，达到水平4的学校仅有<strong>2所（占25.0%）</strong>，水平3学校占多数（62.5%），另有1所处于水平1。贵校以55.50分位居<strong>区内第1名</strong>，较第二名华理曙光（54.82分）领先约0.68分，较上师大四附中（51.16分）、景秀高中（53.06分）及奉贤中学（47.85分）等校优势更为显著，是区内少数实现信息技术与教学深度融合的标杆校之一。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校在教学方式创新上的领先表现值得充分肯定，但也应对标更高标准持续深化。建议贵校在现有基础上，着力推动以下几个方向：一是将信息技术应用由"能用、常用"提升至"善用、活用"，强化数据驱动的精准教学与学情诊断；二是建立教学创新案例的校内提炼与分享机制，形成可复制的示范范式，向区内乃至全市辐射引领；三是探索人工智能辅助教学、个性化学习路径设计等前沿实践，以巩固并扩大贵校在信息化教学领域的示范效应。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part9-2">三、 评价精准化与个性化</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">48.3</div>
|
||
<div class="diff negative">
|
||
-3.8 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">52.1</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-2">水平 2</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">7/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 210/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part9-2" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 dimmed">
|
||
水平 4 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 4 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 active">
|
||
水平 2 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平2含义：</strong>有信息技术平台支持学业评价
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>在评价精准化与个性化维度，贵校得分为48.30分，低于奉贤区均值52.06分，差距为3.76分，区内排名第7位（共8所学校参评）。贵校目前处于<strong>水平2</strong>，即"有信息技术平台支持学业评价"阶段，意味着贵校已具备一定的信息化评价基础，能够借助技术手段辅助学业成绩的记录与反馈，但尚未实现对学科诊断与综合素质的系统性、精准化评价支撑。</p>
|
||
|
||
<p>从区内水平分布来看，全区8所学校中，达到水平3及以上的学校共5所，占比62.5%，其中水平3学校4所、水平4学校1所，区内主流水平已进入"借助第三方平台支持学科诊断与综合素质评价"阶段。贵校与景秀高中并列水平2，得分均为48.30分，处于区内较低梯队。相比之下，华理曙光（61.04分）、奉贤中学（53.40分）、美达菲（52.55分）等校均已进入水平3，在学科诊断的精细化程度与综合素质评价的数字化覆盖方面明显领先。作为市实验性示范性高中，贵校当前水平与其定位之间存在显著落差，这一状况值得管理层高度重视。</p>
|
||
|
||
<p>建议贵校将提升评价信息化能力列为近期重点改进方向。具体路径可分步推进：<strong>第一步</strong>，优先引入成熟的第三方评价平台（如学科诊断工具、综合素质电子档案系统），打通学业数据与素质评价数据的采集通道，尽快跨越至水平3；<strong>第二步</strong>，在应用第三方平台积累经验的基础上，结合贵校课程改革特色，探索局部自建或深度定制化功能模块，为迈向水平4奠定基础。此外，建议贵校同步排查当前制约因素——是否存在教师数字评价素养不足、评价数据与教学反馈脱节、相关制度规范缺位等结构性问题——并据此制定专项推进方案，以切实发挥市级示范校在区域评价改革中的引领作用。</p>
|
||
</div>
|
||
|
||
<hr class="section-divider">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="sub-part9-3">四、 课程迭代优化</h2>
|
||
|
||
<div class="score-cards" style="grid-template-columns: repeat(4, 1fr);">
|
||
<div class="score-card">
|
||
<div class="label">得分</div>
|
||
<div class="value" style="font-size:24px">55.3</div>
|
||
<div class="diff positive">
|
||
+11.2 vs 区均值
|
||
</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">区均值</div>
|
||
<div class="value" style="font-size:24px">44.0</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">水平等级</div>
|
||
<div class="level-indicator level-4">水平 4</div>
|
||
</div>
|
||
<div class="score-card">
|
||
<div class="label">排名</div>
|
||
<div class="value" style="font-size:24px">2/8</div>
|
||
|
||
<div class="diff" style="color: var(--gray-500); font-size: 12px;">
|
||
全市 121/266
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<!-- C. 温度计条形图 -->
|
||
<div class="chart-box" style="padding:10px 16px;">
|
||
<div id="thermo-part9-3" class="chart" style="height:80px"></div>
|
||
</div>
|
||
|
||
<!-- 金字塔水平指示器（含各水平学校数量） -->
|
||
<div class="pyramid-container">
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv4 active">
|
||
水平 4 · 2 所
|
||
</div>
|
||
|
||
<span class="pyramid-label"><span class="arrow">◀</span>华二临港</span>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv3 dimmed">
|
||
水平 3 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv2 dimmed">
|
||
水平 2 · 1 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
<div class="pyramid-row">
|
||
<div class="pyramid-block lv1 dimmed">
|
||
水平 1 · 4 所
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-indent:0; margin:10px 0; color: var(--gray-500); font-size:14px;">
|
||
<strong>水平4含义：</strong>学校对促进教学数字化转型有专项研修计划并开展相关活动，业务绝大部分使用信息化系统
|
||
</p>
|
||
|
||
<!-- 三级维度LLM分析 -->
|
||
|
||
<div class="llm-analysis">
|
||
<p>在课程迭代优化维度，贵校得分为<strong>55.27分</strong>，高于奉贤区均值44.05分<strong>11.22分</strong>，处于<strong>水平4</strong>。该水平意味着贵校已针对促进教学数字化转型制定了专项研修计划并持续开展相关活动，且绝大部分业务流程已纳入信息化系统支撑，体现出较为完善的数字化转型推进机制与制度保障。</p>
|
||
|
||
<p>从区内水平分布来看，全区8所高中中仅有<strong>2所学校（占25%）</strong>达到水平4，贵校正是其中之一，另一所为奉贤中学（59.29分）。区内仍有高达<strong>50%的学校处于水平1</strong>，整体数字化转型能力分化显著。在具体得分排名上，贵校以55.27分位列<strong>区内第2名</strong>，略低于奉贤中学，领先第三名美达菲（52.27分）约3分，在区内具有明显的相对优势。</p>
|
||
|
||
<p>贵校在课程迭代优化方面的阶段性成果值得肯定，但作为市实验性示范性高中，对标更高发展定位，仍有深化空间。建议重点关注以下方向：一是在专项研修计划的基础上，进一步建立<strong>常态化的课程数字化迭代机制</strong>，将研修成果系统转化为课程更新的制度性输出；二是推动信息化系统从"覆盖绝大部分业务"迈向<strong>全流程闭环管理</strong>，消除尚存的业务盲区；三是充分发挥区域引领示范职能，探索将贵校数字化课程迭代经验提炼为可复制、可推广的区域范本，助力全区整体水平提升，进一步巩固并扩大与头部学校的竞争优势。</p>
|
||
</div>
|
||
|
||
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="section" id="conclusion">
|
||
<h1>第十部分 总结与改进建议</h1>
|
||
|
||
|
||
|
||
<div class="top3-box" style="background: linear-gradient(135deg, #eff6ff, #dbeafe); border: 2px solid #3b82f6; border-radius: 12px; padding: 24px; margin: 0 0 24px 0;">
|
||
<h2 style="color: #1e40af; margin: 0 0 16px 0; font-size: 20px;">最紧迫的三件事</h2>
|
||
<p style="color: #1e3a5f; font-size: 14px; margin: 0 0 16px 0; font-style: italic;">以下三项是综合严重程度、杠杆效应和可操作性后，建议学校本学期优先推进的核心事项。</p>
|
||
<div class="llm-analysis">
|
||
<ol>
|
||
<li><strong>第一优先：国家标准遵循（课程领导力）</strong>
|
||
<p>这是全区垫底（第8/8）、严重性指数最高的硬性合规问题——作为市实验性示范性高中，国家课程标准落实存在明显缺口，直接触碰办学底线，亦构成后续一切评估与改革的法理基础；若这一根基不稳，其余改进均失去合法性依托。</p>
|
||
<p>本学期核心行动：由教务处牵头，在开学后两周内完成课程方案与国家课标的逐项对照排查，列出偏差清单，并于本学期末前完成课时设置、必修模块覆盖的整改闭环，形成可检查的合规台账。</p>
|
||
</li>
|
||
<li><strong>第二优先：实践活动评估 + 综合素质评估（教育质量评估力）</strong>
|
||
<p>两项同处水平1、同为区内末位，且高度同源——根本问题是学校尚未建立针对非学业维度的规范评估机制；不同时启动则互相架空、难以单独见效，而这恰恰是新高考改革中综合素质档案的核心要求，拖延将直接影响学生升学记录的可信度与完整性。</p>
|
||
<p>本学期核心行动：由德育处与教务处协同，以"综合素质评价平台"为抓手，本学期内制定实践活动的评估标准与记录规范（包括评分维度、佐证材料清单），并完成至少一轮面向全体学生的实录与评审试运行，输出可复用的操作手册。</p>
|
||
</li>
|
||
<li><strong>第三优先：课程规范落实（课程领导力）</strong>
|
||
<p>严重性指数第四、区内第7/8，但与第一优先"国家标准遵循"构成直接因果链——前者是"写在纸上的标准"，这一项是"落进课堂的执行"，标准整改若无配套的课程实施监督机制跟进，改革将止步于文件层面，无法真正传导到教学行为。</p>
|
||
<p>本学期核心行动：由教务处建立课程实施巡查机制，每月开展一次选修课程开设情况与必修课程进度的抽查，将检查结果纳入教研组考核，确保本学期末各年级课程开设与国家方案的符合率达到100%。</p>
|
||
</li>
|
||
</ol>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<h2>一、跨维度综合分析</h2>
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Connection error.）</em></p>
|
||
</div>
|
||
|
||
|
||
<!-- D. 进步空间瀑布图 -->
|
||
|
||
<h2>进步空间分析</h2>
|
||
<div class="chart-box">
|
||
<div id="waterfall-chart" class="chart" style="height:400px"></div>
|
||
<div class="chart-title">图10-1 进步空间分析：提升至水平3的潜在收益</div>
|
||
</div>
|
||
<div class="chart-caption">
|
||
<p>贵校当前共有8个三级维度处于水平3以下，其中国家标准遵循（得分29.7）、实践活动评估（得分35.6）、综合素质评估（得分37.7）等5个维度仍处于水平1，课程规范落实、学科发展的个性化辅导等维度得分亦普遍偏低（38.1–49.8）；若将上述维度整体提升至水平3，预计将对贵校整体课程实施水平带来显著改善，是当前阶段最具优先提升价值的集中突破方向。</p>
|
||
</div>
|
||
|
||
|
||
<h2>综合评述与改进方向</h2>
|
||
<div class="llm-analysis">
|
||
<p>贵校以49.40分位居区内第2名，整体课程实施能力处于中等水平，但各维度之间呈现出显著的结构性失衡：教育条件保障、教学变革与数字化赋能三项维度表现突出，教学方式创新、教研支持、区域推进等具体项目均已达到水平4，显示贵校在课堂层面的探索与实践具备相当基础；然而，课程领导力（39.48分，低于区均值9.55分）与教育质量评估力（41.96分，低于区均值6.65分）两项核心维度严重拖累整体表现，且多个三级维度停留于水平1，与市实验性示范性高中的定位形成明显落差。贵校的突出矛盾在于：课堂"做得不错"，但课程"管得不稳"、质量"评得不准"，实践层面的活力尚未获得顶层设计与评价体系的有效支撑。</p>
|
||
|
||
<p>深入审视各薄弱维度，可归纳出两条相互关联的核心问题主线。<strong>其一，课程规范与标准执行缺位</strong>：国家标准遵循（水平1，29.74分）与课程规范落实（水平1，38.12分）双双处于最低层级，表明贵校在课程方案制定与执行层面存在系统性漏洞，课程领导力薄弱的根源在于校级层面对课程整体把控不足，致使顶层设计与一线实施之间出现断层。<strong>其二，评价体系建设全面滞后</strong>：学业质量评估（水平1）、综合素质评估（水平1）、实践活动评估（水平1）、评价精准化与个性化（水平2）几乎覆盖评价维度的全部子项，说明贵校现有评价机制仍停留于粗放阶段，无法为教学改进与学生个性化发展提供有效反馈，进而制约了已有教学变革成果的深化与巩固。</p>
|
||
|
||
<p><strong>第一优先（立即启动）：重建课程规范执行机制。</strong>当前国家标准遵循与课程规范落实双双处于水平1，须视为最紧迫任务。目标是在一学期内使上述两项指标达到水平3。核心举措：由校级领导牵头成立课程委员会，逐学科开展课程方案合规性审查，明确各学科课时、内容与标准的对应关系，并建立定期督导与整改闭环机制。<strong>第二优先（同步推进）：构建多维评价体系。</strong>当前学业、综合素质与实践活动评估均停留于水平1，与贵校已有的教学变革实践严重脱节。目标是在一学年内形成覆盖三类评价的基础框架。核心举措：优先完善学业质量评估的数据采集与分析流程，依托现有数字化平台推进评价数据的可视化与个性化应用，同步试点综合素质与实践活动的过程性评价记录。<strong>第三优先（下学期推进）：激活课程领导力的学校内部支撑。</strong>在规范执行与评价体系初步建立后，重点强化项目支持（水平2）与学科个性化辅导（水平2），通过校本教研与项目化机制将优质课堂经验转化为课程制度资产。</p>
|
||
|
||
<p>作为市实验性示范性高中，贵校在教学变革与数字化赋能方面已积累较为扎实的实践基础，具备向更高层次跨越的内生动力。但示范引领的前提，是自身课程管理的规范与评价体系的完备。若能在近期集中力量补齐课程规范与质量评估两块短板，使顶层设计与一线实践形成有效闭环，贵校不仅有望在区内进一步巩固领先位置，更能真正发挥在课程改革领域的示范辐射价值。</p>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div class="section" id="action-guide">
|
||
<h1>第十一部分 实践落地行动指南</h1>
|
||
|
||
<p class="section-intro" style="color:#555; font-style:italic; margin-bottom:1.5em; border-left:4px solid #2563eb; padding-left:12px;">
|
||
本部分基于前述数据分析结果，按"紧迫程度"排列改进行动。学校管理团队应将有限资源优先投入到最紧迫的事项上，而非平均用力。
|
||
</p>
|
||
|
||
|
||
|
||
<div class="top3-box" style="background: linear-gradient(135deg, #fef2f2, #fee2e2); border: 2px solid #dc2626; border-radius: 12px; padding: 24px; margin: 0 0 24px 0;">
|
||
<h2 style="color: #991b1b; margin: 0 0 12px 0; font-size: 18px;">战略聚焦：本学期必须完成的三件事</h2>
|
||
<p style="color: #7f1d1d; font-size: 14px; margin: 0 0 16px 0;">以下三项是综合数据严重程度、改进杠杆效应和可操作性后，建议学校本学期<strong>优先且必须</strong>推进的核心事项。后续各节的详细方案均围绕此展开。</p>
|
||
<div class="llm-analysis" style="color: #7f1d1d;">
|
||
<ol>
|
||
<li><strong>第一优先：国家标准遵循（课程领导力）</strong>
|
||
<p>这是全区垫底（第8/8）、严重性指数最高的硬性合规问题——作为市实验性示范性高中，国家课程标准落实存在明显缺口，直接触碰办学底线，亦构成后续一切评估与改革的法理基础；若这一根基不稳，其余改进均失去合法性依托。</p>
|
||
<p>本学期核心行动：由教务处牵头，在开学后两周内完成课程方案与国家课标的逐项对照排查，列出偏差清单，并于本学期末前完成课时设置、必修模块覆盖的整改闭环，形成可检查的合规台账。</p>
|
||
</li>
|
||
<li><strong>第二优先：实践活动评估 + 综合素质评估（教育质量评估力）</strong>
|
||
<p>两项同处水平1、同为区内末位，且高度同源——根本问题是学校尚未建立针对非学业维度的规范评估机制；不同时启动则互相架空、难以单独见效，而这恰恰是新高考改革中综合素质档案的核心要求，拖延将直接影响学生升学记录的可信度与完整性。</p>
|
||
<p>本学期核心行动：由德育处与教务处协同，以"综合素质评价平台"为抓手，本学期内制定实践活动的评估标准与记录规范（包括评分维度、佐证材料清单），并完成至少一轮面向全体学生的实录与评审试运行，输出可复用的操作手册。</p>
|
||
</li>
|
||
<li><strong>第三优先：课程规范落实（课程领导力）</strong>
|
||
<p>严重性指数第四、区内第7/8，但与第一优先"国家标准遵循"构成直接因果链——前者是"写在纸上的标准"，这一项是"落进课堂的执行"，标准整改若无配套的课程实施监督机制跟进，改革将止步于文件层面，无法真正传导到教学行为。</p>
|
||
<p>本学期核心行动：由教务处建立课程实施巡查机制，每月开展一次选修课程开设情况与必修课程进度的抽查，将检查结果纳入教研组考核，确保本学期末各年级课程开设与国家方案的符合率达到100%。</p>
|
||
</li>
|
||
</ol>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<h2 id="action-critical">一、 急需突破（水平1维度）——立即行动</h2>
|
||
|
||
<div class="llm-analysis">
|
||
<p><em>（分析文字生成失败：Error code: 524 - {'type': 'https://developers.cloudflare.com/support/troubleshooting/http-status-codes/cloudflare-5xx-errors/error-524/', 'title': 'Error 524: A timeout occurred', 'status': 524, 'detail': 'The origin web server did not return a complete response within the 120-second Proxy Read Timeout window. The connection was established, but the origin took too long to respond.', 'instance': '9f8fa9f9488bf5ec', 'error_code': 524, 'error_name': 'origin_response_timeout', 'error_category': 'origin', 'ray_id': '9f8fa9f9488bf5ec', 'timestamp': '2026-05-09T09:28:45Z', 'zone': 'cdr.digiman.live', 'cloudflare_error': True, 'retryable': True, 'retry_after': 120, 'owner_action_required': True, 'what_you_should_do': '**Wait and retry.** Back off for at least 120 seconds. If the error persists, the website operator should check for long-running processes or an overloaded origin.', 'footer': 'This error was generated by Cloudflare on behalf of the website owner.'}）</em></p>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<h2 id="action-attention">二、 重点攻关（水平2维度）——本学期启动</h2>
|
||
|
||
<div class="llm-analysis">
|
||
<p class="action-title"><strong>【数字化赋能力·评价精准化与个性化】</strong>——当前48.3分，区内第7名</p>
|
||
<p>现有信息技术平台仅停留在学业数据采集层面，尚未实现学科诊断与综合素质评价的第三方平台深度接入；本维度的提升有赖于<strong>综合素质评估（水平1）</strong>与<strong>学业质量评估（水平1）</strong>的先行规范落实——若评估标准本身尚不统一，数字化工具的精准性将无从保障。</p>
|
||
<ol>
|
||
<li><strong>锁定第三方平台并完成采购接入</strong>：教务处牵头，联合信息技术组，于本学期第6周前完成市内主流高中学科诊断平台（如学科网、菁优网或区级统一推荐平台）的调研与选型，明确至少1个具备学科诊断功能、1个具备综合素质数字档案功能的平台；完成学校账号开通与数据对接测试，覆盖全部9门高考相关学科。</li>
|
||
<li><strong>制定分学科诊断实施方案并开展首轮应用</strong>：各学科教研组长负责，在教务处统筹下，于本学期第10周前完成本学科"诊断节点—平台工具—数据解读"三位一体方案，明确每学期诊断不少于3次（期中前、期末前、模考后各一次）；首轮诊断完成后，每科提交不少于1份基于平台数据的班级学情分析报告。</li>
|
||
<li><strong>打通综合素质评价数字化归档流程</strong>：德育处与教务处联合推进，于本学期末前将综合素质评价的五大维度记录迁移至第三方数字平台，实现学生自主上传、教师在线审核、过程性数据留痕的全流程闭环；确保本学年在校生综合素质数字档案建档率达到100%。</li>
|
||
<li><strong>形成数据驱动教学调整的校级机制</strong>：教务处于每学期末组织一次"数据分析—教学改进"专题校级教研活动，要求各学科组以平台诊断数据为依据，提交下学期教学策略调整清单，并纳入学科组学期考核；首次活动于本学年第二学期第2周完成，形成可向区内推广的操作样本。</li>
|
||
</ol>
|
||
|
||
<p class="action-title"><strong>【教师发展支持力·项目支持】</strong>——当前47.6分，区内第4名</p>
|
||
<p>当前各学科普遍缺乏校级以上项目承接，仅部分学科有校级项目支撑，教研工作缺乏高层级项目引领；作为市实验性示范性高中，项目层级偏低制约了教师专业发展的外部驱动力；本维度的提升与<strong>国家标准遵循（水平1）</strong>及<strong>课程规范落实（水平1）</strong>存在关联——课程改革方向不明确时，申报项目缺乏实质内涵支撑。</p>
|
||
<ol>
|
||
<li><strong>梳理各学科现有项目空白并建立申报台账</strong>：教务处于本学期第4周前，组织各学科组长逐一填报"项目现状摸底表"，明确各学科当前承接的校级及以上项目数量、负责人、立项年份；对零项目学科逐一约谈，确定1名种子教师作为下一周期项目申报责任人，形成全校项目申报储备清单。</li>
|
||
<li><strong>定向培育至少3个学科完成校级以上项目申报</strong>：教务处联合科研室，于本学期第8周前，针对储备清单中优先级最高的3个学科（建议结合学校办学特色及区级课改方向选定），提供项目选题指导、申报书撰写培训（每科不少于2次专项辅导）；在区级或市级课题、名师工作室子课题等渠道完成申报，确保本学年内至少2个学科获得校级以上项目立项。</li>
|
||
<li><strong>以已有项目学科为样板输出可复制经验</strong>：由已立项学科的项目负责人，于立项后当学期末在校内开展不少于1次项目推进公开汇报，向其他学科展示从选题、申报到推进的完整路径；教务处将操作流程整理为《华二临港学科项目申报指引》，于下学年初发放至全体学科组，推动尚未立项学科参照执行。</li>
|
||
<li><strong>建立项目承接与教师发展考核的挂钩机制</strong>：人事处与教务处联合，于本学年第二学期初将"承接或参与校级以上项目"纳入教师年度专业发展考核指标，明确规定：承担项目负责人记个人发展积分，参与核心成员记基础积分；学科组整体无校级以上项目立项的，学科组长年度考核不得评优，以制度压力推动项目覆盖率持续扩大。</li>
|
||
</ol>
|
||
|
||
<p class="action-title"><strong>【学生发展指导力·学科发展的个性化辅导】</strong>——当前49.8分，区内第3名</p>
|
||
<p>当前辅导以被动响应为主（学生提出需求后教师介入），辅导时长不足且形式以分组统一为主，尚未实现教师基于学情主动设计、以个别分散辅导为主的精准化支持；本维度的提升与<strong>学业质量评估（水平1）</strong>和<strong>综合素质评估（水平1）</strong>存在关联——若学情数据获取渠道不畅，教师主动研判辅导需求将缺乏依据。</p>
|
||
<ol>
|
||
<li><strong>建立各学科学情跟踪表并明确辅导触发机制</strong>：各学科教研组长于本学期第5周前，设计本学科"学情跟踪与辅导记录表"，记录每位学生的阶段性薄弱点、已辅导次数与内容；明确规定：每次单元测验或阶段性考核后3个工作日内，教师须完成对后20%学生的主动约谈或辅导安排，不再等待学生主动提出需求，由各学科组长每月抽查记录表完成情况。</li>
|
||
<li><strong>将平均辅导时长提升至每周1-2小时并排入课表</strong>：教务处于本学期第7周前，协调各学科在现有课表框架内，以"学科答疑固定时段"形式为每个学科每周预留不少于2个固定辅导时段（每次30-45分钟），确保有需求学生可预约到岗教师进行个别辅导；学期末统计各学科实际人均辅导时长，目标达到每周平均1小时以上。</li>
|
||
<li><strong>推动辅导形式从分组统一向个别分散转型</strong>：教研组长于每学期初，基于上一学期学情数据，将本学科学生按薄弱点类型分为不超过4个层次，为每类学生制定差异化辅导内容清单；要求各学科每月个别辅导（1对1或1对2）场次占总辅导场次的比例不低于60%，相关记录纳入教师月度工作台账，由教研组长核实后报教务处备案。</li>
|
||
<li><strong>学期末开展辅导效果评估并迭代方案</strong>：教务处联合年级组，于每学期末面向全体学生发放"学科个性化辅导满意度与改进意见"问卷，回收率须达95%以上；各学科组长根据问卷结果与辅导记录数据，提交不少于500字的"下学期辅导方案改进说明"，教务处汇总后在期末教学工作会议上集中反馈，形成"评估—反思—改进"的闭环管理机制。</li>
|
||
</ol>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<h2 id="action-maintain">三、 稳步巩固（水平3维度）——持续推进</h2>
|
||
|
||
<div class="llm-analysis">
|
||
<p class="action-title"><strong>【课程结构建设】</strong>（水平3→水平4）：关键差距是学科类必修课程各学科课时分配离差偏大。下学年由教务处牵头，对标《上海市普通高中课程实施方案》，逐学科核查必修课时，将学科类必修课程离差总和压缩至30%以内（下学年第一学期末完成核查与调整）。</p>
|
||
|
||
<p class="action-title"><strong>【作业设计与管理变革】</strong>（水平3→水平4）：关键差距是作业时长缺乏统一管控机制。下学期由教务处建立跨学科作业总量统筹表，每周由各学科组长上报作业时长，确保每日书面作业总时长达标，同时推动每类创新性作业掌握类型从2种扩展至3种（下学期期中前完成制度上线运行）。</p>
|
||
|
||
<p class="action-title"><strong>【学生生涯发展指导】</strong>（水平3→水平4）：关键差距是缺乏专设生涯指导课程、覆盖率未达90%+。下学年由德育处联合教务处，在课表中正式排入生涯指导课（每学年每生不少于6课时），本校兼职教师承担主体课时，外聘资源补充，三年累计覆盖率达90%以上（下学年开学前完成课程排课方案）。</p>
|
||
|
||
<p class="action-title"><strong>【培训支持】</strong>（水平3→水平4）：关键差距是各学科教师人均外出培训次数不足2.5人次。下学年由教师发展中心按学科统一编制培训计划，确保每学科教师人均外出培训≥2.5人次，优先安排薄弱学科（下学年第一学期末完成各学科培训名额落实）。</p>
|
||
|
||
<p class="action-title"><strong>【科学评价观】</strong>（水平3→水平4）：关键差距是部分评价方面尚未纳入素养发展关注。下学年由教务处组织各学科组在学期初修订评价方案，确保学业评价、过程评价、综合素质评价等所有方面均至少涵盖两项核心素养指标（下学年第一学期开学后4周内完成方案修订并备案）。</p>
|
||
|
||
<p class="action-title"><strong>【环境支持】</strong>（水平3→水平4）：关键差距是信息化设备与硬件支持尚处于平均水平。下学年由总务处会同信息中心，提交一份信息化硬件短板清单及采购优先级方案，重点补齐教室交互设备与网络带宽短板，目标使核心教学场所信息化配置达到区内前30%水平（下学年暑假期间完成采购与部署）。</p>
|
||
|
||
<p class="action-title"><strong>【资源支持】</strong>（水平3→水平4）：关键差距是校内外资源供给尚未全面达到较高水平。下学年由教务处梳理现有校外合作资源清单，针对空白领域新签至少2项稳定合作协议（如高校实验室、科创基地），确保校内外资源与师资整体供给同步提升至较高水平（下学年第一学期末完成协议签署）。</p>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<h2 id="action-excel">四、 深化引领（水平4维度）——经验输出</h2>
|
||
|
||
<div class="llm-analysis">
|
||
<p>在教学方式变革与创新、教研支持、课程迭代优化及区域推进等维度，学校均已达到较高水平，体现出课程改革的系统性推进能力与持续迭代意识，教研文化较为成熟，区域协作基础扎实，展现了市实验性示范性高中应有的引领潜力。</p>
|
||
|
||
<p>建议将上述实践经验的总结与推广列入下学年工作计划，可考虑系统梳理典型案例形成案例集，或依托区域平台承办专题研讨活动，将校内成熟经验转化为可复制、可传播的示范成果，进一步发挥辐射引领作用。</p>
|
||
</div>
|
||
|
||
|
||
|
||
<h2 id="action-timeline">五、 学期行动时间表</h2>
|
||
|
||
<div class="llm-analysis">
|
||
<ul>
|
||
<li><strong>本学期·立即启动（第1-4周）</strong>——集中攻克最紧迫的问题
|
||
<ul>
|
||
<li><strong>[紧急]</strong> 国家标准遵循（课程领导力，29.7分）：教务处牵头，第1周内完成对照《普通高中课程方案（2017年版2020年修订）》的课程开设自查，逐科核查必修、选择性必修、选修三类课程的实际开设学时是否达标；第2周形成整改清单，明确缺漏课程补开或调整方案；第4周前完成课表修订并报校长审批，确保本学期课程开设合规率达100%。责任人：教务处主任。</li>
|
||
<li><strong>[紧急]</strong> 课程规范落实（课程领导力，38.1分）：教务处联合各学科教研组长，第2周前完成全校所有学科教学进度表、课程实施计划的统一上交与审核，对照课程方案逐一标注是否覆盖核心素养目标；第3-4周开展推门听课，每位教研组长本学期内完成所在学科至少4次课堂抽查，填写标准化课程规范落实记录表，期末汇总整改率不低于90%。责任人：各学科教研组长，教务处督查。</li>
|
||
<li><strong>[紧急]</strong> 实践活动评估（教育质量评估力，35.6分）：德育处联合教务处，第1-2周内梳理本学期已排定的全部实践活动清单（含研究性学习、劳动教育、社会实践），第3周前为每项活动制定包含目标、过程、成果三个维度的评估量规，第4周前完成全体班主任及带队教师的评估操作培训，本学期内确保所有实践活动均有完整的过程性评估记录，覆盖率达100%。责任人：德育处主任。</li>
|
||
<li><strong>[紧急]</strong> 综合素质评估（教育质量评估力，37.7分）：教务处第2周前调取上学期综合素质评价数据，逐条核查五个维度（思想品德、学业水平、身心健康、艺术素养、劳动与社会实践）的写实记录完整率；第4周前组织年级组长、班主任召开专项工作会，明确本学期每位学生每个维度至少录入3条写实记录的底线要求，并在第8周进行中期抽查，期末前完成全员审核，写实记录完整率由现状提升至不低于85%。责任人：年级组长，教务处抽查。</li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>本学期·持续推进（每月）</strong>——建立常态化机制
|
||
<ul>
|
||
<li><strong>[紧急]</strong> 学业质量评估（教育质量评估力，40.7分）：教务处建立月度学业质量评估例会制度，每月最后一周各学科组长提交本月单元测验或阶段检测的质量分析报告，内容须包含命题依据（对标课程标准学业质量水平描述）、得分分布、典型错误分析及教学改进措施；本学期内每学科至少完成3次有质量分析报告支撑的阶段性评估；检查节点：期中（第10周）由教务处抽查50%学科报告质量，期末（第18周）全科汇总存档。责任人：各学科教研组长，教务处主任督导。</li>
|
||
<li><strong>[紧急]</strong> 实践活动评估与综合素质评估的过程性跟踪：德育处每月第3周对班主任提交的实践活动评估记录和综合素质写实记录进行抽样核查（每次抽查比例不低于20%的学生样本），发现缺漏在5个工作日内反馈至班主任补录；检查节点：期中核查记录完整率是否达到60%以上，期末核查是否达到85%以上。责任人：德育处，年级组长配合。</li>
|
||
<li><strong>[重点]</strong> 评价精准化与个性化（数字化赋能力，48.3分）：信息技术中心联合教务处，每月组织1次数字化评价工具的使用推进会，本学期内选定至少2个学科作为试点，以校内现有数字化平台为载体，建立学生学业数据的个人成长档案，实现对每位学生至少3次阶段性评价数据的可视化呈现；检查节点：期中完成试点学科数据建档，期末形成可推广的操作手册初稿。责任人：信息技术中心主任，试点学科教研组长。</li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>下学期·巩固深化</strong>——水平1目标达到水平2后，推进水平2至3和3至4
|
||
<ul>
|
||
<li><strong>[重点]</strong> 项目支持（教师发展支持力，47.6分）：在本学期课程规范落实整改完成的基础上，下学期由教务处设立校级课程建设专项项目，面向全体教师公开征集聚焦国家课程标准落实的教学改进项目，每个项目须有明确的周期目标和可观测的学生学习成果；下学期末前立项不少于6个项目，每个项目配备1名教研组长担任指导人。责任人：教务处主任。</li>
|
||
<li><strong>[重点]</strong> 学科发展的个性化辅导（学生发展指导力，49.8分）：在综合素质评估体系完善后，下学期由年级组统筹，各学科教师依据本学期积累的学生学业数据，为每位学生制定包含学科优势分析、薄弱点及改进建议的个性化学科发展辅导记录，每学科每学期覆盖全体学生，每位学生至少接受1次一对一学科发展谈话，谈话记录纳入综合素质档案。责任人：各学科教研组长，年级组长协调。</li>
|
||
<li><strong>[巩固]</strong> 作业设计与管理变革：在学业质量评估机制成熟后，教务处下学期推行分学科的作业统筹管理制度，每个学科组每两周提交作业设计样例，教研组长审核作业与课程标准的对应关系，全学期每学科有效作业设计案例库存量不少于20份。责任人：各学科教研组长，教务处存档。</li>
|
||
</ul>
|
||
</li>
|
||
<li><strong>下学年·经验输出</strong>——水平4维度的经验推广
|
||
<ul>
|
||
<li><strong>[引领]</strong> 区域推进：在本校课程领导力和教育质量评估力各维度全面提升至水平3以上的基础上，下学年由校长室牵头，面向临港新片区内其他高中，以"课程标准落地与综合素质评估一体化"为主题，举办不少于1次区域公开研讨活动，提供本校可操作的制度文本（含评估量规、课程自查清单、写实记录操作规范）供兄弟学校参考，发挥市实验性示范性高中在区域课程改革中的引领作用。责任人：校长室，教务处承办。</li>
|
||
<li><strong>[引领]</strong> 教学方式创新与课程迭代优化：下学年依托本学期及下学期积累的数字化评价数据和项目支持成果，组织跨学科教研团队，围绕学科核心素养导向的教学方式创新形成至少2个完整的课程改进案例，在市级以上平台公开发表或展示，作为学校课程改革阶段性成果的系统性输出。责任人：教务处，骨干教师团队。</li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</div>
|
||
|
||
<p class="section-note" style="color:#888; font-size:0.9em; margin-top:2em; border-top:1px solid #eee; padding-top:1em;">
|
||
<strong>说明：</strong>以上行动建议由AI基于监测数据自动生成，旨在提供思路框架与参考方向。具体实施方案需结合学校实际情况，由学校管理团队与专业教师共同研讨确定，建议在教育专家指导下进行校本化调整。
|
||
</p>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
<script>
|
||
const COLORS = {
|
||
primary: '#2563eb',
|
||
primaryLight: '#93bbfd',
|
||
success: '#059669',
|
||
warning: '#d97706',
|
||
danger: '#dc2626',
|
||
gray: '#d1d5db',
|
||
grayDark: '#6b7280',
|
||
cluster_good: '#2563eb',
|
||
cluster_weak: '#f59e0b',
|
||
level1: '#ef4444',
|
||
level2: '#f59e0b',
|
||
level3: '#3b82f6',
|
||
level4: '#10b981',
|
||
};
|
||
|
||
// ECharts i18n bundle (injected from Python via Jinja)
|
||
const I18N = {"action_attention": "\u9700\u8981\u5173\u6ce8", "action_critical": "\u6025\u9700\u5173\u6ce8", "action_excel": "\u6301\u7eed\u9886\u5148", "action_maintain": "\u4fdd\u6301\u73b0\u72b6", "action_timeline": "\u5b9e\u65bd\u65f6\u95f4\u8868", "alert_title": "\u7d27\u6025\u9884\u8b66\uff1a\u4ee5\u4e0b\u5b50\u7ef4\u5ea6\u9700\u7acb\u5373\u5173\u6ce8", "chat_apikey_failed": "API Key \u89e3\u7801\u5931\u8d25", "chat_clear": "\u6e05\u7a7a\u5bf9\u8bdd", "chat_close": "\u5173\u95ed", "chat_fab_title": "AI \u62a5\u544a\u52a9\u624b", "chat_input_placeholder": "\u8f93\u5165\u60a8\u7684\u95ee\u9898...", "chat_lang_hint": "\uff08\u8bf7\u7528\u4e2d\u6587\u56de\u7b54\uff09", "chat_request_failed": "\u8bf7\u6c42\u5931\u8d25", "chat_retry": "\u8bf7\u7a0d\u540e\u91cd\u8bd5\u3002", "chat_send_title": "\u53d1\u9001", "chat_sg_advice": "\u6539\u8fdb\u5efa\u8bae", "chat_sg_advice_q": "\u7ed9\u51fa\u4e09\u6761\u6700\u91cd\u8981\u7684\u6539\u8fdb\u5efa\u8bae", "chat_sg_gap": "\u5dee\u8ddd\u5206\u6790", "chat_sg_gap_q": "\u4e0e\u533a\u5747\u503c\u76f8\u6bd4\uff0c\u5404\u7ef4\u5ea6\u5dee\u8ddd\u6700\u5927\u7684\u662f\u54ea\u4e9b\uff1f", "chat_sg_overall": "\u603b\u4f53\u8868\u73b0", "chat_sg_overall_q": "\u603b\u4f53\u8868\u73b0\u5982\u4f55\uff1f\u5728\u533a\u5185\u5904\u4e8e\u4ec0\u4e48\u6c34\u5e73\uff1f", "chat_sg_strengths": "\u4f18\u52bf\u4e0e\u77ed\u677f", "chat_sg_strengths_q": "\u54ea\u4e9b\u7ef4\u5ea6\u662f\u4f18\u52bf\uff1f\u54ea\u4e9b\u9700\u8981\u6539\u8fdb\uff1f", "chat_subtitle_prefix": "\u57fa\u4e8e", "chat_subtitle_suffix": "\u62a5\u544a\u6570\u636e", "chat_title": "AI \u62a5\u544a\u52a9\u624b", "chat_welcome_li1": "\u8be2\u95ee\u5177\u4f53\u7ef4\u5ea6\u7684\u8868\u73b0\u548c\u5bf9\u6bd4", "chat_welcome_li2": "\u4e86\u89e3\u4f18\u52bf\u548c\u6539\u8fdb\u65b9\u5411", "chat_welcome_li3": "\u83b7\u5f97\u56fe\u8868\u6570\u636e\u7684\u89e3\u8bfb", "chat_welcome_li4": "\u8bf7\u6559\u5177\u4f53\u7684\u6539\u8fdb\u5efa\u8bae", "chat_welcome_p1_a": "\u60a8\u597d\uff01\u6211\u662f ", "chat_welcome_p1_b": " \u8bfe\u7a0b\u5b9e\u65bd\u76d1\u6d4b\u62a5\u544a\u7684 AI \u52a9\u624b\u3002", "chat_welcome_p2": "\u6211\u5df2\u4e86\u89e3\u8fd9\u4efd\u62a5\u544a\u7684\u5168\u90e8\u6570\u636e\uff0c\u60a8\u53ef\u4ee5\uff1a", "chat_welcome_p3": "\u8bf7\u95ee\u6709\u4ec0\u4e48\u60f3\u4e86\u89e3\u7684\uff1f", "city": "\u5168\u5e02", "city_avg": "\u5e02\u5747\u503c", "cluster_type": "\u8bfe\u7a0b\u5b9e\u65bd\u7c7b\u578b", "current_total": "\u5f53\u524d\u603b\u5206", "diff": "\u5dee\u503c", "diff_vs_district": "\u5dee\u5f02(vs\u533a)", "dim_fig_levels": "\u56fe{n}-4 {name}\u5404\u5b50\u7ef4\u5ea6\u6c34\u5e73\u5206\u5e03", "dim_fig_scatter": "\u56fe{n}-5 {name}\u805a\u7c7b\u5206\u6790\u6563\u70b9\u56fe", "dim_fig_score": "\u56fe{n}-1 {name}\u5f97\u5206\u60c5\u51b5", "dim_fig_subbar": "\u56fe{n}-3 {name}\u5404\u5b50\u7ef4\u5ea6\u5bf9\u6bd4\u8be6\u60c5", "dim_fig_subradar": "\u56fe{n}-2 {name}\u5404\u5b50\u7ef4\u5ea6\u5f97\u5206\u60c5\u51b5", "dim_score_label": "{name}\u5f97\u5206", "dim_section_overall": "\u4e00\u3001\u6574\u4f53\u8868\u73b0", "dim_section_subdims": "{name}\u5404\u5b50\u7ef4\u5ea6\u6c34\u5e73\u5bf9\u6bd4", "dimension": "\u7ef4\u5ea6", "district": "\u533a", "district_avg": "\u533a\u5747\u503c", "ec_at_level": "{name}\uff1a\u6c34\u5e73{lv}", "ec_avg_level": "\u5e73\u5747\u6c34\u5e73", "ec_baseline_50": "\u5747\u503c\u57fa\u7ebf(50)", "ec_belongs_to": "\u5c5e\u4e8e", "ec_cluster_good": "\u8bfe\u7a0b\u5b9e\u65bd\u8f83\u597d\u7c7b", "ec_cluster_good_full": "\u8bfe\u7a0b\u5b9e\u65bd\u8f83\u597d\u7c7b({n}\u6240)", "ec_cluster_good_short": "\u8f83\u597d\u7c7b", "ec_cluster_weak": "\u8bfe\u7a0b\u5b9e\u65bd\u5f85\u63d0\u5347\u7c7b", "ec_cluster_weak_full": "\u8bfe\u7a0b\u5b9e\u65bd\u5f85\u63d0\u5347\u7c7b({n}\u6240)", "ec_cluster_weak_short": "\u5f85\u63d0\u5347\u7c7b", "ec_correlation": "\u76f8\u5173\u7cfb\u6570", "ec_dim_rank": "\u7ef4\u5ea6\u6392\u540d", "ec_dim_score": "\u7ef4\u5ea6\u5f97\u5206", "ec_district_avg": "\u533a\u5747\u503c", "ec_district_avg_short": "\u533a\u5747\u503c", "ec_district_position": "\u533a\u5747\u503c\u53c2\u7167", "ec_district_rank_n": "\u533a\u5185\u7b2c{rank}\u540d", "ec_good_type_short": "\u8f83\u597d\u7c7b", "ec_level": "\u6c34\u5e73", "ec_level_dist_summary": "\u6c34\u5e73\u5206\u5e03", "ec_lift_to_lv3": "\u63d0\u5347\u81f3\u6c34\u5e733", "ec_lv2_threshold": "\u6c34\u5e732\u7ebf", "ec_lv3_threshold": "\u6c34\u5e733\u7ebf", "ec_lv4_threshold": "\u6c34\u5e734\u7ebf", "ec_lv_short": "Lv", "ec_lvl_four": "\u6c34\u5e73\u56db", "ec_lvl_one": "\u6c34\u5e73\u4e00", "ec_lvl_three": "\u6c34\u5e73\u4e09", "ec_lvl_two": "\u6c34\u5e73\u4e8c", "ec_min_level": "\u6700\u5f31\u6c34\u5e73", "ec_overall_score": "\u603b\u4f53\u5f97\u5206", "ec_pieces": "\u4ef6", "ec_quad_diff": "\u5dee\u5f02", "ec_quad_district_avg_marker": "\u533a\u5747\u503c", "ec_quad_level": "\u6c34\u5e73", "ec_quad_score": "\u5f97\u5206", "ec_quad_x_axis": "\u5f97\u5206", "ec_quad_y_axis": "\u4e0e\u533a\u5747\u503c\u5dee\u5f02", "ec_quadrant_q1": "\u6838\u5fc3\u4f18\u52bf", "ec_quadrant_q2": "\u6f5c\u529b\u9879", "ec_quadrant_q3": "\u6025\u9700\u6539\u8fdb", "ec_quadrant_q4": "\u9690\u6027\u98ce\u9669", "ec_same_type": "\u540c\u7c7b\u5b66\u6821", "ec_same_type_avg": "\u540c\u7c7b\u5b66\u6821\u5747\u503c", "ec_school_self": "\u672c\u6821", "ec_score_label": "\u5f97\u5206", "ec_self": "\u672c\u6821", "ec_thermo_dist_marker": "\u25b2\u533a\u5747", "ec_thermo_same_marker": "\u25b2\u540c\u7c7b", "ec_thermo_self": "\u672c\u6821", "ec_thermo_self_marker": "\u25bc ", "ec_total_now": "\u5f53\u524d\u603b\u5206", "ec_total_potential": "\u6f5c\u5728\u603b\u5206", "ec_unit_schools": "\u6240", "ec_waterfall_contrib": "\u9884\u4f30\u603b\u5206\u8d21\u732e", "ec_waterfall_current": "\u5f53\u524d\u603b\u5206", "ec_waterfall_potential": "\u6f5c\u5728\u603b\u5206", "ec_waterfall_pts_unit": "\u5206", "ec_weak_type_short": "\u5f85\u63d0\u5347\u7c7b", "fig": "\u56fe", "fig2_0a": "\u56fe2-0a \u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u753b\u50cf\u603b\u89c8", "fig2_0b": "\u56fe2-0b \u4e09\u7ea7\u7ef4\u5ea6\u4f18\u52bf-\u77ed\u677f\u8c61\u9650\u5206\u6790", "fig2_1": "\u56fe2-1 \u8bfe\u7a0b\u5b9e\u65bd\u4e03\u7ef4\u5ea6\u5f97\u5206\u5bf9\u6bd4", "fig2_2": "\u56fe2-2 \u8bfe\u7a0b\u5b9e\u65bd\u4e03\u7ef4\u5ea6\u96f7\u8fbe\u56fe", "fig2_3": "\u56fe2-3 \u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u603b\u4f53\u7c7b\u578b\u5206\u5e03", "fig2_4": "\u56fe2-4 \u4e24\u7c7b\u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u7279\u5f81\u5bf9\u6bd4", "fig2_5": "\u56fe2-5 \u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u7c7b\u578b\u7279\u5f81\u5bf9\u6bd4\uff08\u96f7\u8fbe\u56fe\uff09", "fig2_6": "\u56fe2-6 \u533a\u5185\u5404\u6821\u603b\u4f53\u5f97\u5206\u6392\u540d", "fig2_7": "\u56fe2-7 \u8bfe\u7a0b\u5b9e\u65bd\u7ef4\u5ea6\u95f4\u76f8\u5173\u6027\u5206\u6790", "gain_label": "\u63d0\u5347\u81f3\u6c34\u5e733", "generated_on": "\u751f\u6210\u4e8e", "indicator": "\u6307\u6807", "level": "\u6c34\u5e73", "level_1": "\u6c34\u5e731", "level_2": "\u6c34\u5e732", "level_3": "\u6c34\u5e733", "level_4": "\u6c34\u5e734", "level_label": "\u6c34\u5e73", "loading": "\u5206\u6790\u52a0\u8f7d\u4e2d...", "of": "/", "overall_score": "\u603b\u4f53\u5f97\u5206", "p0_analysis_intro": "\u6570\u636e\u5206\u6790\u6d41\u7a0b\u5982\u4e0b\uff1a", "p0_framework_intro": "\u672c\u62a5\u544a\u4ece\u5b66\u6821\u9886\u5bfc\u529b\u89c6\u89d2\u51fa\u53d1\uff0c\u5bf9\u8bfe\u7a0b\u5b9e\u65bd\u76d1\u6d4b\u6307\u6807\u6570\u636e\u8fdb\u884c\u7cfb\u7edf\u6027\u7684\u5206\u6790\u4e0e\u6307\u6807\u518d\u5efa\u6784\uff0c\u6784\u5efa\u4e86\u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u7684\u4e03\u7ef4\u5ea6\u6307\u6807\u4f53\u7cfb\uff08\u89c1\u88681-1\uff09\u3002", "p0_h1_background": "\u4e00\u3001\u6d4b\u8bc4\u80cc\u666f", "p0_h1_framework": "\u4e8c\u3001\u6d4b\u8bc4\u6846\u67b6", "p0_h1_implement": "\u4e09\u3001\u6d4b\u8bc4\u5b9e\u65bd", "p0_h2_analysis": "\uff08\u4e09\uff09\u6570\u636e\u5206\u6790", "p0_h2_levels": "\uff08\u56db\uff09\u4e09\u7ea7\u7ef4\u5ea6\u6c34\u5e73\u5212\u5206", "p0_h2_method": "\uff08\u4e8c\uff09\u6d4b\u8bc4\u65b9\u6cd5", "p0_h2_target": "\uff08\u4e00\uff09\u6d4b\u8bc4\u5bf9\u8c61", "p0_interp_condition": "1.\u4e86\u89e3\u5b66\u6821\u6240\u5728\u533a\u57df\u6559\u80b2\u5c40\u5bf9\u9ad8\u4e2d\u6559\u80b2\u6559\u5b66\u5de5\u4f5c\u7684\u63a8\u52a8\u60c5\u51b5\uff1b2.\u8bc4\u4f30\u5b66\u6821\u4fe1\u606f\u6280\u672f\u73af\u5883\u3001\u6559\u5b66\u8bbe\u5907\u3001\u573a\u9986\u8bbe\u65bd\u7684\u652f\u6301\u60c5\u51b5\uff1b3.\u5173\u6ce8\u5b66\u6821\u5982\u4f55\u7edf\u7b79\u5e08\u8d44\u914d\u7f6e\u3001\u6821\u5185\u8d44\u6e90\u3001\u793e\u533a\u8d44\u6e90\u7b49", "p0_interp_curriculum": 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"\u003cstrong\u003e\u7b2c\u56db\uff0c\u5bf9\u4e09\u7ea7\u7ef4\u5ea6\u5212\u5206\u6c34\u5e73\u3002\u003c/strong\u003e\u4f9d\u636e\u7ef4\u5ea6\u5185\u6db5\u548c\u5b66\u6821\u8868\u73b0\u5206\u5e03\uff0c\u4ece\u9898\u76ee\u5c42\u9762\u786e\u5b9a\u6c34\u5e73\u5212\u5206\u7684\u5206\u754c\u70b9\u5206\u6570\uff0c\u5bf9\u5404\u5b66\u6821\u5212\u5206\u6c34\u5e731~4\uff08\u89c1\u88681-2\uff09\u3002", "p0_step5": "\u003cstrong\u003e\u7b2c\u4e94\uff0c\u805a\u7c7b\u5206\u6790\u3002\u003c/strong\u003e\u57fa\u4e8e\u6807\u51c6\u5316\u5f97\u5206\uff0c\u5bf9\u5b66\u6821\u8fdb\u884c\u805a\u7c7b\u5206\u6790\uff0c\u5c06\u5177\u6709\u76f8\u4f3c\u7279\u5f81\u7684\u5b66\u6821\u5f52\u4e3a\u4e00\u7c7b\uff0c\u8bc6\u522b\u51fa\u5404\u7ef4\u5ea6\u4e0b\u4e0d\u540c\u7c7b\u578b\u7684\u5b66\u6821\u7fa4\u4f53\u3002", "p0_target_text": "\u672c\u6b21\u76d1\u6d4b\u9762\u5411{district}\u666e\u901a\u9ad8\u4e2d\u5b66\u6821\uff0c\u5171\u6709{total}\u6240\u9ad8\u4e2d\u5b66\u6821\u53c2\u4e0e\u672c\u6b21\u76d1\u6d4b\u3002\u6bcf\u6240\u53c2\u4e0e\u76d1\u6d4b\u7684\u9ad8\u4e2d\u5b66\u6821\uff0c\u5747\u62bd\u53d6\u4e86\u884c\u653f\u7ba1\u7406\u90e8\u95e8\u7684\u5b66\u6821\u7ba1\u7406\u8005\u4ee3\u8868\uff08\u5305\u62ec\u6821\u957f\u3001\u526f\u6821\u957f\u3001\u90e8\u95e8\u4e3b\u4efb\u7b49\uff09\u3001\u5404\u5b66\u79d1\u6559\u7814\u7ec4\u7ec4\u957f\u53c2\u52a0\u95ee\u5377\u8c03\u67e5\u3002", "p10_fig_waterfall": "\u56fe10-1 \u8fdb\u6b65\u7a7a\u95f4\u5206\u6790\uff1a\u63d0\u5347\u81f3\u6c34\u5e733\u7684\u6f5c\u5728\u6536\u76ca", "p10_h1": "\u7b2c\u5341\u90e8\u5206 \u603b\u7ed3\u4e0e\u6539\u8fdb\u5efa\u8bae", "p10_h2_cross": "\u4e00\u3001\u8de8\u7ef4\u5ea6\u7efc\u5408\u5206\u6790", "p10_h2_improve": "\u8fdb\u6b65\u7a7a\u95f4\u5206\u6790", "p10_h2_review": "\u7efc\u5408\u8bc4\u8ff0\u4e0e\u6539\u8fdb\u65b9\u5411", "p10_h2_top3": "\u6700\u7d27\u8feb\u7684\u4e09\u4ef6\u4e8b", "p11_attention": "\u91cd\u70b9\u653b\u5173\uff08\u6c34\u5e732\u7ef4\u5ea6\uff09\u2014\u2014\u672c\u5b66\u671f\u542f\u52a8", "p11_critical": "\u6025\u9700\u7a81\u7834\uff08\u6c34\u5e731\u7ef4\u5ea6\uff09\u2014\u2014\u7acb\u5373\u884c\u52a8", "p11_disclaimer": "\u003cstrong\u003e\u8bf4\u660e\uff1a\u003c/strong\u003e\u4ee5\u4e0a\u884c\u52a8\u5efa\u8bae\u7531AI\u57fa\u4e8e\u76d1\u6d4b\u6570\u636e\u81ea\u52a8\u751f\u6210\uff0c\u65e8\u5728\u63d0\u4f9b\u601d\u8def\u6846\u67b6\u4e0e\u53c2\u8003\u65b9\u5411\u3002\u5177\u4f53\u5b9e\u65bd\u65b9\u6848\u9700\u7ed3\u5408\u5b66\u6821\u5b9e\u9645\u60c5\u51b5\uff0c\u7531\u5b66\u6821\u7ba1\u7406\u56e2\u961f\u4e0e\u4e13\u4e1a\u6559\u5e08\u5171\u540c\u7814\u8ba8\u786e\u5b9a\uff0c\u5efa\u8bae\u5728\u6559\u80b2\u4e13\u5bb6\u6307\u5bfc\u4e0b\u8fdb\u884c\u6821\u672c\u5316\u8c03\u6574\u3002", "p11_excel": "\u6df1\u5316\u5f15\u9886\uff08\u6c34\u5e734\u7ef4\u5ea6\uff09\u2014\u2014\u7ecf\u9a8c\u8f93\u51fa", "p11_focus_intro": "\u4ee5\u4e0b\u4e09\u9879\u662f\u7efc\u5408\u6570\u636e\u4e25\u91cd\u7a0b\u5ea6\u3001\u6539\u8fdb\u6760\u6746\u6548\u5e94\u548c\u53ef\u64cd\u4f5c\u6027\u540e\uff0c\u5efa\u8bae\u5b66\u6821\u672c\u5b66\u671f\u003cstrong\u003e\u4f18\u5148\u4e14\u5fc5\u987b\u003c/strong\u003e\u63a8\u8fdb\u7684\u6838\u5fc3\u4e8b\u9879\u3002\u540e\u7eed\u5404\u8282\u7684\u8be6\u7ec6\u65b9\u6848\u5747\u56f4\u7ed5\u6b64\u5c55\u5f00\u3002", "p11_focus_title": "\u6218\u7565\u805a\u7126\uff1a\u672c\u5b66\u671f\u5fc5\u987b\u5b8c\u6210\u7684\u4e09\u4ef6\u4e8b", "p11_h1": "\u7b2c\u5341\u4e00\u90e8\u5206 \u5b9e\u8df5\u843d\u5730\u884c\u52a8\u6307\u5357", "p11_intro": "\u672c\u90e8\u5206\u57fa\u4e8e\u524d\u8ff0\u6570\u636e\u5206\u6790\u7ed3\u679c\uff0c\u6309\"\u7d27\u8feb\u7a0b\u5ea6\"\u6392\u5217\u6539\u8fdb\u884c\u52a8\u3002\u5b66\u6821\u7ba1\u7406\u56e2\u961f\u5e94\u5c06\u6709\u9650\u8d44\u6e90\u4f18\u5148\u6295\u5165\u5230\u6700\u7d27\u8feb\u7684\u4e8b\u9879\u4e0a\uff0c\u800c\u975e\u5e73\u5747\u7528\u529b\u3002", "p11_maintain": "\u7a33\u6b65\u5de9\u56fa\uff08\u6c34\u5e733\u7ef4\u5ea6\uff09\u2014\u2014\u6301\u7eed\u63a8\u8fdb", "p11_no_weak": "\u8d35\u6821\u5f53\u524d\u65e0\u6c34\u5e731\u6216\u6c34\u5e732\u7684\u8584\u5f31\u7ef4\u5ea6\uff0c\u6574\u4f53\u57fa\u7840\u624e\u5b9e\uff0c\u4ee5\u4e0b\u91cd\u70b9\u5173\u6ce8\u5de9\u56fa\u63d0\u5347\u4e0e\u6df1\u5316\u5f15\u9886\u3002", "p11_timeline": "\u5b66\u671f\u884c\u52a8\u65f6\u95f4\u8868", "p11_timeline_loading": "\u65f6\u95f4\u8868\u751f\u6210\u4e2d...", "p1_h1_dim_status": "\u4e8c\u3001\u5206\u7ef4\u5ea6\u72b6\u51b5", "p1_h1_overall_status": "\u4e00\u3001\u5b66\u6821\u8bfe\u7a0b\u5b9e\u65bd\u603b\u4f53\u72b6\u51b5", "page": "\u9875", "perf_above": "\u7565\u9ad8\u4e8e\u533a\u5747", "perf_below": "\u7565\u4f4e\u4e8e\u533a\u5747", "perf_good": "\u8868\u73b0\u8f83\u597d", "perf_neutral": "\u63a5\u8fd1\u533a\u5747", "perf_weak": "\u5f85\u63d0\u5347", "performance": "\u8868\u73b0", "points": "\u5206", "positioning_gap_title": "\u5b66\u6821\u5b9a\u4f4d\u4e0e\u5b9e\u9645\u8868\u73b0\u5dee\u8ddd\u5206\u6790", "potential_total": "\u6f5c\u5728\u603b\u5206", "radar_legend_district": "\u533a\u5747\u503c", "radar_legend_same_type": "\u540c\u7c7b\u5b66\u6821\u5747\u503c", "radar_legend_self": "\u672c\u6821", "rank": "\u6392\u540d", "rank_format": "\u7b2c{rank}\u540d / \u5171{total}\u6240", "rank_in_city": "\u5168\u5e02\u6392\u540d", "rank_in_city_label": "\u5168\u5e02\u6392\u540d", "rank_in_district": "\u533a\u5185\u6392\u540d", "rank_in_district_label": "\u533a\u5185\u6392\u540d", "rank_in_top_pct": "\u4f4d\u5217\u524d {pct}%", "report_subtitle": "\u57fa\u4e8e\u5b66\u6821\u9886\u5bfc\u529b\u89c6\u89d2\u7684\u4e03\u7ef4\u5ea6\u5206\u6790", "report_title": "\u8bfe\u7a0b\u5b9e\u65bd\u76d1\u6d4b\u6570\u636e\u5206\u6790\u62a5\u544a", "same_type_avg": "\u540c\u7c7b\u5b66\u6821\u5747\u503c", "school_cluster": "\u805a\u7c7b\u7c7b\u578b", "school_name": "\u5b66\u6821", "school_type": "\u5b66\u6821\u7c7b\u578b", "schools_unit": "\u6240", "score": "\u5f97\u5206", "sd_city_rank_prefix": "\u5168\u5e02", "sd_district_avg": "\u533a\u5747\u503c", "sd_level_grade": "\u6c34\u5e73\u7b49\u7ea7", "sd_level_meaning": "\u6c34\u5e73{lv}\u542b\u4e49", "sd_rank": "\u6392\u540d", "sd_score": "\u5f97\u5206", "sec_cross_dim": "\u8de8\u7ef4\u5ea6\u7efc\u5408\u5206\u6790", "sec_improvement_room": "\u8fdb\u6b65\u7a7a\u95f4\u5206\u6790", "sec_level_compare": "\u5404\u5b50\u7ef4\u5ea6\u6c34\u5e73\u5bf9\u6bd4", "sec_overall_perf": "\u6574\u4f53\u8868\u73b0", "sec_review": "\u7efc\u5408\u8bc4\u8ff0\u4e0e\u6539\u8fdb\u65b9\u5411", "sec_subdim_analysis": "\u5b50\u7ef4\u5ea6\u8be6\u7ec6\u5206\u6790", "sec_top3": "\u6700\u7d27\u8feb\u7684\u4e09\u4ef6\u4e8b", "sub_dimension": "\u5b50\u7ef4\u5ea6", "tbl": "\u8868", "tbl_indicator_system": "\u88681-1 \u6307\u6807\u4f53\u7cfb\u8868", "tbl_level_definition": "\u88681-2 \u4e09\u7ea7\u7ef4\u5ea6\u6c34\u5e73\u5212\u5206\u8868", "th_indicator_interp": "\u6307\u6807\u89e3\u8bfb", "th_secondary_dim": "\u4e8c\u7ea7\u7ef4\u5ea6", "th_tertiary_dim": "\u4e09\u7ea7\u7ef4\u5ea6", "top3_intro": "\u4ee5\u4e0b\u4e09\u9879\u662f\u7efc\u5408\u4e25\u91cd\u7a0b\u5ea6\u3001\u6760\u6746\u6548\u5e94\u548c\u53ef\u64cd\u4f5c\u6027\u540e\uff0c\u5efa\u8bae\u5b66\u6821\u672c\u5b66\u671f\u4f18\u5148\u63a8\u8fdb\u7684\u6838\u5fc3\u4e8b\u9879\u3002", "total_score": "\u603b\u4f53\u5f97\u5206", "vs_city_avg": "vs \u5e02\u5747\u503c", "vs_district_avg": "vs \u533a\u5747\u503c", "vs_same_type": "vs \u540c\u7c7b", "your_school": "\u8d35\u6821"};
|
||
const LANG = 'zh';
|
||
|
||
// helper：维度名翻译（中文 key → 当前 lang 显示值）
|
||
const DIM_T = {"\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b": "\u6559\u5b66\u53d8\u9769\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "\u8bfe\u7a0b\u9886\u5bfc\u529b": "\u8bfe\u7a0b\u9886\u5bfc\u529b"};
|
||
const SUB_T = {"\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769": "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769", "\u533a\u57df\u63a8\u8fdb": "\u533a\u57df\u63a8\u8fdb", "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa": "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "\u57f9\u8bad\u652f\u6301": "\u57f9\u8bad\u652f\u6301", "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30": "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc": "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc", "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc": "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30": "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30", "\u6559\u5b66\u65b9\u5f0f\u521b\u65b0": "\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "\u6559\u5b66\u65b9\u5f0f\u53d8\u9769": "\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "\u6559\u7814\u652f\u6301": "\u6559\u7814\u652f\u6301", "\u73af\u5883\u652f\u6301": "\u73af\u5883\u652f\u6301", "\u79d1\u5b66\u8bc4\u4ef7\u89c2": "\u79d1\u5b66\u8bc4\u4ef7\u89c2", "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30": "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316": "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe": "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e": "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e", "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316": "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316", "\u8d44\u6e90\u652f\u6301": "\u8d44\u6e90\u652f\u6301", "\u9879\u76ee\u652f\u6301": "\u9879\u76ee\u652f\u6301"};
|
||
function tDim(name) { return DIM_T[name] || name; }
|
||
function tSub(name) { return SUB_T[name] || name; }
|
||
// 短名（去掉"力"等后缀）—— 中文版才简化，英文不变
|
||
function shortDim(name) {
|
||
var n = tDim(name);
|
||
if (LANG === 'zh') return n.replace('力', '').replace('教育', '');
|
||
return n;
|
||
}
|
||
</script>
|
||
|
||
<script>
|
||
// ===== 1. 得分对比横向条形图 =====
|
||
const scoreCompare = {"categories": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "district_avg": [49.03, 49.54, 47.37, 49.93, 48.6, 47.7, 47.15], "same_type_avg": [51.95, 51.72, 51.45, 53.88, 53.42, 53.07, 51.54], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [39.48, 53.51, 51.3, 50.57, 41.96, 55.93, 53.02]};
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('score-compare-chart'));
|
||
const cats = scoreCompare.categories.map(tDim);
|
||
const option = {
|
||
tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
|
||
legend: { data: [scoreCompare.school_name, I18N.ec_district_avg, I18N.ec_same_type_avg], bottom: 5, textStyle: { fontSize: 12 } },
|
||
grid: { left: '3%', right: '8%', bottom: '18%', top: '5%', containLabel: true },
|
||
xAxis: { type: 'value', min: 30, max: 80 },
|
||
yAxis: { type: 'category', data: cats, axisLabel: { fontSize: 12 } },
|
||
series: [
|
||
{ name: scoreCompare.school_name, type: 'bar', data: scoreCompare.school_values,
|
||
itemStyle: { color: COLORS.primary }, barWidth: '22%',
|
||
label: { show: true, position: 'right', fontSize: 11 } },
|
||
{ name: I18N.ec_district_avg, type: 'bar', data: scoreCompare.district_avg,
|
||
itemStyle: { color: COLORS.gray }, barWidth: '22%' },
|
||
{ name: I18N.ec_same_type_avg, type: 'bar', data: scoreCompare.same_type_avg,
|
||
itemStyle: { color: COLORS.warning }, barWidth: '22%' },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
|
||
// ===== 2. 七维度雷达图 =====
|
||
const radarData = {"dimensions": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "legend": ["\u534e\u4e8c\u4e34\u6e2f", "\u533a\u5747\u503c"], "series": [{"name": "\u534e\u4e8c\u4e34\u6e2f", "values": [39.48, 53.51, 51.3, 50.57, 41.96, 55.93, 53.02]}, {"name": "\u533a\u5747\u503c", "values": [49.03, 49.54, 47.37, 49.93, 48.6, 47.7, 47.15]}]};
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('radar-chart'));
|
||
const option = {
|
||
tooltip: {},
|
||
legend: { data: radarData.legend, bottom: 10 },
|
||
radar: {
|
||
indicator: radarData.dimensions.map(d => ({ name: tDim(d), max: 80 })),
|
||
shape: 'polygon', splitNumber: 4,
|
||
axisName: { color: '#333', fontSize: 12 }, radius: '65%',
|
||
},
|
||
series: [{
|
||
type: 'radar',
|
||
data: radarData.series.map((s, i) => ({
|
||
value: s.values, name: s.name,
|
||
areaStyle: { opacity: i === 0 ? 0.3 : 0.1 },
|
||
lineStyle: { width: i === 0 ? 3 : 1 },
|
||
})),
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
|
||
// ===== 3. 聚类类型分布饼图 =====
|
||
const clusterDist = {"good_count": 3, "good_schools": ["\u4e0a\u5e08\u5927\u56db\u9644\u4e2d", "\u534e\u4e8c\u4e34\u6e2f", "\u5949\u8d24\u4e2d\u5b66"], "school_cluster": "\u8f83\u597d", "school_name": "\u534e\u4e8c\u4e34\u6e2f", "total": 8, "weak_count": 4, "weak_schools": ["\u4e1c\u534e\u81f4\u8fdc", "\u534e\u7406\u66d9\u5149", "\u666f\u79c0\u9ad8\u4e2d", "\u7f8e\u8fbe\u83f2"]};
|
||
if (clusterDist.total) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('cluster-type-dist-chart'));
|
||
const labelFormatter = LANG === 'en' ? '{b}\n{c} ({d}%)' : '{b}\n{c}所 ({d}%)';
|
||
const belongsTo = (clusterDist.school_cluster === '较好' || clusterDist.school_cluster === 'High-Performing')
|
||
? I18N.ec_cluster_good_short
|
||
: I18N.ec_cluster_weak_short;
|
||
const centerText = clusterDist.school_name + '\n' + I18N.ec_belongs_to + ' ' + belongsTo;
|
||
const option = {
|
||
tooltip: { trigger: 'item' },
|
||
legend: { bottom: 5, textStyle: { fontSize: 11 } },
|
||
series: [{
|
||
type: 'pie', radius: ['35%', '60%'], center: ['50%', '45%'],
|
||
avoidLabelOverlap: true,
|
||
itemStyle: { borderRadius: 8, borderColor: '#fff', borderWidth: 2 },
|
||
label: { show: true, formatter: labelFormatter, fontSize: 12 },
|
||
emphasis: { label: { show: true, fontSize: 14, fontWeight: 'bold' } },
|
||
data: [
|
||
{ value: clusterDist.good_count, name: I18N.ec_cluster_good, itemStyle: { color: COLORS.primary } },
|
||
{ value: clusterDist.weak_count, name: I18N.ec_cluster_weak, itemStyle: { color: COLORS.warning } },
|
||
]
|
||
}],
|
||
graphic: [{
|
||
type: 'text', left: 'center', top: '40%',
|
||
style: {
|
||
text: centerText,
|
||
textAlign: 'center', fill: COLORS.primary, fontSize: 12, fontWeight: 'bold',
|
||
}
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== 4. 两类学校折线对比图 =====
|
||
const clusterLine = {"dimensions": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "good_count": 3, "good_values": [48.86, 51.5, 51.49, 53.45, 51.0, 53.35, 49.85], "weak_count": 4, "weak_values": [48.33, 48.07, 45.38, 48.56, 47.2, 43.27, 50.04]};
|
||
if (clusterLine.dimensions) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('cluster-line-chart'));
|
||
const goodLegend = I18N.ec_cluster_good_full.replace('{n}', clusterLine.good_count);
|
||
const weakLegend = I18N.ec_cluster_weak_full.replace('{n}', clusterLine.weak_count);
|
||
const option = {
|
||
tooltip: { trigger: 'axis' },
|
||
legend: { data: [goodLegend, weakLegend], bottom: 5, textStyle: { fontSize: 11 } },
|
||
grid: { left: '3%', right: '4%', bottom: '18%', top: '8%', containLabel: true },
|
||
xAxis: {
|
||
type: 'category', data: clusterLine.dimensions.map(shortDim),
|
||
axisLabel: { fontSize: 11, rotate: 15 }, boundaryGap: false,
|
||
},
|
||
yAxis: { type: 'value', min: 40, max: 60 },
|
||
series: [
|
||
{
|
||
name: goodLegend,
|
||
type: 'line', data: clusterLine.good_values,
|
||
lineStyle: { width: 3, color: COLORS.primary }, itemStyle: { color: COLORS.primary },
|
||
symbol: 'circle', symbolSize: 8,
|
||
label: { show: true, position: 'top', fontSize: 10, color: COLORS.primary, formatter: p => p.value.toFixed(2) },
|
||
},
|
||
{
|
||
name: weakLegend,
|
||
type: 'line', data: clusterLine.weak_values,
|
||
lineStyle: { width: 3, color: COLORS.warning }, itemStyle: { color: COLORS.warning },
|
||
symbol: 'circle', symbolSize: 8,
|
||
label: { show: true, position: 'bottom', fontSize: 10, color: COLORS.warning, formatter: p => p.value.toFixed(2) },
|
||
},
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== 5. 聚类类型对比雷达图 =====
|
||
const clusterRadar = {"dimensions": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "good_count": 3, "legend": ["\u8bfe\u7a0b\u5b9e\u65bd\u8f83\u597d\u7c7b", "\u8bfe\u7a0b\u5b9e\u65bd\u5f85\u63d0\u5347\u7c7b", "\u534e\u4e8c\u4e34\u6e2f"], "series": [{"name": "\u8bfe\u7a0b\u5b9e\u65bd\u8f83\u597d\u7c7b", "values": [48.86, 51.5, 51.49, 53.45, 51.0, 53.35, 49.85]}, {"name": "\u8bfe\u7a0b\u5b9e\u65bd\u5f85\u63d0\u5347\u7c7b", "values": [48.33, 48.07, 45.38, 48.56, 47.2, 43.27, 50.04]}, {"name": "\u534e\u4e8c\u4e34\u6e2f", "values": [39.48, 53.51, 51.3, 50.57, 41.96, 55.93, 53.02]}], "weak_count": 4};
|
||
if (clusterRadar.dimensions) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('cluster-radar-chart'));
|
||
const colorMap = [COLORS.cluster_good, COLORS.cluster_weak, COLORS.danger];
|
||
const option = {
|
||
tooltip: {},
|
||
legend: {
|
||
data: clusterRadar.legend, bottom: 5, textStyle: { fontSize: 11 },
|
||
formatter: function(name) {
|
||
if (name === '课程实施较好类' || name === I18N.ec_cluster_good) return I18N.ec_cluster_good_full.replace('{n}', clusterRadar.good_count);
|
||
if (name === '课程实施待提升类' || name === I18N.ec_cluster_weak) return I18N.ec_cluster_weak_full.replace('{n}', clusterRadar.weak_count);
|
||
return name;
|
||
}
|
||
},
|
||
radar: {
|
||
indicator: clusterRadar.dimensions.map(d => ({ name: tDim(d), max: 80 })),
|
||
shape: 'polygon', splitNumber: 4,
|
||
axisName: { color: '#333', fontSize: 11 }, radius: '60%',
|
||
},
|
||
series: [{
|
||
type: 'radar',
|
||
data: clusterRadar.series.map((s, i) => ({
|
||
value: s.values, name: s.name,
|
||
areaStyle: { opacity: i === 2 ? 0.05 : 0.15 },
|
||
lineStyle: { width: i === 2 ? 3 : 2, type: i === 2 ? 'solid' : 'dashed', color: colorMap[i] },
|
||
itemStyle: { color: colorMap[i] },
|
||
symbol: i === 2 ? 'diamond' : 'circle', symbolSize: i === 2 ? 8 : 4,
|
||
})),
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== 6. 区内学校排名条形图 =====
|
||
const rankingData = {"current_school": "\u534e\u4e8c\u4e34\u6e2f", "dim_scores": {"\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b": [51.3, 48.65, 49.61, 45.27, 42.99, 54.53, 51.28, 35.38], "\u6559\u5b66\u53d8\u9769\u529b": [53.51, 50.65, 51.87, 47.6, NaN, 50.34, 46.28, 46.52], "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b": [50.57, 46.37, 50.13, 50.62, 44.9, 63.41, 48.31, 45.17], "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b": [55.93, 48.65, 40.8, 50.34, 48.5, 55.48, 46.12, 35.8], "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b": [41.96, 52.06, 49.78, 47.49, 47.05, 58.97, 46.74, 44.79], "\u6570\u5b57\u5316\u8d4b\u80fd\u529b": [53.02, 43.03, 55.29, 46.51, 27.49, 53.51, 47.58, 50.79], "\u8bfe\u7a0b\u9886\u5bfc\u529b": [39.48, 51.86, 42.35, 49.54, 52.36, 55.24, 51.56, 49.87]}, "dimensions": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "schools": ["\u534e\u4e8c\u4e34\u6e2f", "\u4e0a\u5e08\u5927\u56db\u9644\u4e2d", "\u534e\u7406\u66d9\u5149", "\u4e1c\u534e\u81f4\u8fdc", "\u5949\u57ce\u9ad8\u4e2d", "\u5949\u8d24\u4e2d\u5b66", "\u666f\u79c0\u9ad8\u4e2d", "\u7f8e\u8fbe\u83f2"], "total_scores": [49.4, 48.75, 48.55, 48.2, NaN, 55.93, 48.27, 44.05]};
|
||
if (rankingData.schools) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('school-ranking-chart'));
|
||
const barColors = rankingData.schools.map(s => s === rankingData.current_school ? COLORS.primary : COLORS.gray);
|
||
const option = {
|
||
tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
|
||
grid: { left: '3%', right: '12%', bottom: '5%', top: '5%', containLabel: true },
|
||
xAxis: { type: 'value', min: 35, max: 65 },
|
||
yAxis: { type: 'category', data: rankingData.schools.slice().reverse(),
|
||
axisLabel: { fontSize: 12, fontWeight: function(v) { return v === rankingData.current_school ? 'bold' : 'normal'; } } },
|
||
series: [{
|
||
type: 'bar', barWidth: '50%',
|
||
data: rankingData.total_scores.slice().reverse().map((v, i) => ({
|
||
value: v, itemStyle: { color: barColors.slice().reverse()[i] },
|
||
})),
|
||
label: { show: true, position: 'right', fontSize: 12, fontWeight: 'bold', formatter: p => p.value.toFixed(1) },
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== 7. 维度间相关性热力图 =====
|
||
const corrData = {"data": [[0, 0, 1.0], [0, 1, -0.61], [0, 2, -0.089], [0, 3, 0.188], [0, 4, 0.6], [0, 5, 0.034], [0, 6, -0.431], [1, 0, -0.61], [1, 1, 1.0], [1, 2, 0.532], [1, 3, 0.28], [1, 4, 0.089], [1, 5, 0.485], [1, 6, 0.43], [2, 0, -0.089], [2, 1, 0.532], [2, 2, 1.0], [2, 3, 0.662], [2, 4, 0.47], [2, 5, 0.694], [2, 6, 0.336], [3, 0, 0.188], [3, 1, 0.28], [3, 2, 0.662], [3, 3, 1.0], [3, 4, 0.708], [3, 5, 0.571], [3, 6, 0.502], [4, 0, 0.6], [4, 1, 0.089], [4, 2, 0.47], [4, 3, 0.708], [4, 4, 1.0], [4, 5, 0.264], [4, 6, 0.12], [5, 0, 0.034], [5, 1, 0.485], [5, 2, 0.694], [5, 3, 0.571], [5, 4, 0.264], [5, 5, 1.0], [5, 6, -0.055], [6, 0, -0.431], [6, 1, 0.43], [6, 2, 0.336], [6, 3, 0.502], [6, 4, 0.12], [6, 5, -0.055], [6, 6, 1.0]], "dimensions": ["\u8bfe\u7a0b\u9886\u5bfc\u529b", "\u6559\u5b66\u53d8\u9769\u529b", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "\u6570\u5b57\u5316\u8d4b\u80fd\u529b"], "short_names": ["\u8bfe\u7a0b\u9886\u5bfc", "\u6559\u5b66\u53d8\u9769", "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc", "\u6559\u5e08\u53d1\u5c55\u652f\u6301", "\u8d28\u91cf\u8bc4\u4f30", "\u6761\u4ef6\u4fdd\u969c", "\u6570\u5b57\u5316\u8d4b\u80fd"]};
|
||
if (corrData.dimensions) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('correlation-chart'));
|
||
const localizedDims = corrData.dimensions.map(tDim);
|
||
const names = (corrData.short_names && LANG === 'zh') ? corrData.short_names : localizedDims;
|
||
const option = {
|
||
tooltip: { position: 'top', formatter: p => localizedDims[p.value[0]] + ' × ' + localizedDims[p.value[1]] + '<br/>' + I18N.ec_correlation + ': ' + p.value[2] },
|
||
grid: { left: '15%', right: '12%', bottom: '18%', top: '3%' },
|
||
xAxis: { type: 'category', data: names, axisLabel: { rotate: 30, fontSize: 11 }, splitArea: { show: true } },
|
||
yAxis: { type: 'category', data: names, axisLabel: { fontSize: 11 }, splitArea: { show: true } },
|
||
visualMap: { min: -1, max: 1, calculable: true, orient: 'vertical', right: 0, top: 'center',
|
||
inRange: { color: ['#fee2e2', '#fef3c7', '#f3f4f6', '#dbeafe', '#2563eb'] }, textStyle: { fontSize: 11 } },
|
||
series: [{
|
||
type: 'heatmap', data: corrData.data,
|
||
label: { show: true, fontSize: 11, formatter: p => p.value[2].toFixed(2) },
|
||
itemStyle: { borderWidth: 2, borderColor: '#fff' },
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
</script>
|
||
|
||
<script>
|
||
// ===== 8. 各维度独立得分柱状图 =====
|
||
const dimScoreBars = {"part3": {"dim_name": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "district_avg": 49.03, "same_type_avg": 51.95, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 39.48}, "part4": {"dim_name": "\u6559\u5b66\u53d8\u9769\u529b", "district_avg": 49.54, "same_type_avg": 51.72, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 53.51}, "part5": {"dim_name": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "district_avg": 47.37, "same_type_avg": 51.45, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 51.3}, "part6": {"dim_name": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "district_avg": 49.93, "same_type_avg": 53.88, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 50.57}, "part7": {"dim_name": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "district_avg": 48.6, "same_type_avg": 53.42, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 41.96}, "part8": {"dim_name": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "district_avg": 47.7, "same_type_avg": 53.07, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 55.93}, "part9": {"dim_name": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "district_avg": 47.15, "same_type_avg": 51.54, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_score": 53.02}};
|
||
Object.keys(dimScoreBars).forEach(partId => {
|
||
const el = document.getElementById('dim-score-' + partId);
|
||
if (!el) return;
|
||
const chart = echarts.init(el);
|
||
const d = dimScoreBars[partId];
|
||
const option = {
|
||
tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
|
||
grid: { left: '8%', right: '8%', bottom: '12%', top: '8%', containLabel: true },
|
||
xAxis: { type: 'category', data: [d.school_name, I18N.ec_district_avg, I18N.ec_same_type], axisLabel: { fontSize: 12 } },
|
||
yAxis: { type: 'value', min: 30, max: 80 },
|
||
series: [{
|
||
type: 'bar', barWidth: '40%',
|
||
data: [
|
||
{ value: d.school_score, itemStyle: { color: COLORS.primary } },
|
||
{ value: d.district_avg, itemStyle: { color: COLORS.gray } },
|
||
{ value: d.same_type_avg, itemStyle: { color: COLORS.warning } },
|
||
],
|
||
label: { show: true, position: 'top', fontSize: 13, fontWeight: 'bold', formatter: p => p.value.toFixed(2) },
|
||
markLine: { silent: true, data: [{ yAxis: 50, label: { formatter: I18N.ec_baseline_50, fontSize: 10 }, lineStyle: { color: '#ef4444', type: 'dashed' } }] },
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
|
||
// ===== 9. 各维度子维度雷达图 =====
|
||
const dimSubRadar = {"part3": {"district_avg": [46.06, 53.35, 47.68], "same_type_avg": [46.06, 53.35, 47.68], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [29.74, 50.59, 38.12], "sub_dims": ["\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e"], "type": "radar"}, "part4": {"district_avg": [50.19, 48.89], "same_type_avg": [50.19, 48.89], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [54.93, 52.09], "sub_dims": ["\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769"], "type": "bar"}, "part5": {"district_avg": [48.12, 47.27], "same_type_avg": [48.12, 47.27], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [49.8, 52.79], "sub_dims": ["\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc"], "type": "bar"}, "part6": {"district_avg": [49.12, 51.41, 50.62], "same_type_avg": [49.12, 51.41, 50.62], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [49.0, 55.05, 47.64], "sub_dims": ["\u57f9\u8bad\u652f\u6301", "\u6559\u7814\u652f\u6301", "\u9879\u76ee\u652f\u6301"], "type": "radar"}, "part7": {"district_avg": [49.64, 46.8, 49.77, 48.2], "same_type_avg": [49.64, 46.8, 49.77, 48.2], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [53.84, 40.74, 37.7, 35.56], "sub_dims": ["\u79d1\u5b66\u8bc4\u4ef7\u89c2", "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30"], "type": "radar"}, "part8": {"district_avg": [49.63, 43.92, 49.56], "same_type_avg": [49.63, 43.92, 49.56], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [61.57, 50.06, 56.15], "sub_dims": ["\u533a\u57df\u63a8\u8fdb", "\u73af\u5883\u652f\u6301", "\u8d44\u6e90\u652f\u6301"], "type": "radar"}, "part9": {"district_avg": [51.4, 52.06, 44.05], "same_type_avg": [51.4, 52.06, 44.05], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_values": [55.5, 48.3, 55.27], "sub_dims": ["\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316"], "type": "radar"}};
|
||
Object.keys(dimSubRadar).forEach(partId => {
|
||
const el = document.getElementById('sub-radar-' + partId);
|
||
if (!el) return;
|
||
const chart = echarts.init(el);
|
||
const d = dimSubRadar[partId];
|
||
|
||
if (d.type === 'radar' && d.sub_dims && d.sub_dims.length >= 3) {
|
||
const option = {
|
||
tooltip: {},
|
||
legend: { data: [d.school_name, I18N.ec_district_avg, I18N.ec_same_type], bottom: 5, textStyle: { fontSize: 11 } },
|
||
radar: {
|
||
indicator: d.sub_dims.map(sd => ({ name: tSub(sd), max: 80 })),
|
||
shape: 'polygon', splitNumber: 4, axisName: { color: '#333', fontSize: 10 }, radius: '60%',
|
||
},
|
||
series: [{
|
||
type: 'radar',
|
||
data: [
|
||
{ value: d.school_values, name: d.school_name,
|
||
areaStyle: { opacity: 0.3, color: COLORS.primary },
|
||
lineStyle: { width: 3, color: COLORS.primary }, itemStyle: { color: COLORS.primary } },
|
||
{ value: d.district_avg, name: I18N.ec_district_avg,
|
||
lineStyle: { width: 1, type: 'dashed', color: COLORS.grayDark }, itemStyle: { color: COLORS.grayDark } },
|
||
{ value: d.same_type_avg, name: I18N.ec_same_type,
|
||
lineStyle: { width: 1, type: 'dotted', color: COLORS.warning }, itemStyle: { color: COLORS.warning } },
|
||
],
|
||
}],
|
||
};
|
||
chart.setOption(option);
|
||
} else {
|
||
const option = {
|
||
tooltip: { trigger: 'axis' },
|
||
legend: { data: [d.school_name, I18N.ec_district_avg, I18N.ec_same_type], bottom: 5, textStyle: { fontSize: 11 } },
|
||
grid: { left: '3%', right: '4%', bottom: '18%', top: '5%', containLabel: true },
|
||
xAxis: { type: 'category', data: d.sub_dims.map(tSub), axisLabel: { fontSize: 11 } },
|
||
yAxis: { type: 'value', min: 20, max: 80 },
|
||
series: [
|
||
{ name: d.school_name, type: 'bar', data: d.school_values,
|
||
itemStyle: { color: COLORS.primary }, barWidth: '22%',
|
||
label: { show: true, position: 'top', fontSize: 10 } },
|
||
{ name: I18N.ec_district_avg, type: 'bar', data: d.district_avg, itemStyle: { color: COLORS.gray }, barWidth: '22%' },
|
||
{ name: I18N.ec_same_type, type: 'bar', data: d.same_type_avg, itemStyle: { color: COLORS.warning }, barWidth: '22%' },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
}
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
|
||
// ===== 10. 各维度子维度柱状图 =====
|
||
const subDimCharts = {"part3": {"avg_values": [46.06, 53.35, 47.68], "categories": ["\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e"], "school_values": [29.74, 50.59, 38.12]}, "part4": {"avg_values": [50.19, 48.89], "categories": ["\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769"], "school_values": [54.93, 52.09]}, "part5": {"avg_values": [48.12, 47.27], "categories": ["\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc"], "school_values": [49.8, 52.79]}, "part6": {"avg_values": [49.12, 51.41, 50.62], "categories": ["\u57f9\u8bad\u652f\u6301", "\u6559\u7814\u652f\u6301", "\u9879\u76ee\u652f\u6301"], "school_values": [49.0, 55.05, 47.64]}, "part7": {"avg_values": [49.64, 46.8, 49.77, 48.2], "categories": ["\u79d1\u5b66\u8bc4\u4ef7\u89c2", "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30"], "school_values": [53.84, 40.74, 37.7, 35.56]}, "part8": {"avg_values": [49.63, 43.92, 49.56], "categories": ["\u533a\u57df\u63a8\u8fdb", "\u73af\u5883\u652f\u6301", "\u8d44\u6e90\u652f\u6301"], "school_values": [61.57, 50.06, 56.15]}, "part9": {"avg_values": [51.4, 52.06, 44.05], "categories": ["\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316"], "school_values": [55.5, 48.3, 55.27]}};
|
||
const SCHOOL_DISPLAY = "\u534e\u4e8c\u4e34\u6e2f";
|
||
Object.keys(subDimCharts).forEach(chartId => {
|
||
const el = document.getElementById('chart-' + chartId);
|
||
if (!el) return;
|
||
const chart = echarts.init(el);
|
||
const d = subDimCharts[chartId];
|
||
const option = {
|
||
tooltip: { trigger: 'axis' },
|
||
legend: { data: [SCHOOL_DISPLAY, I18N.ec_district_avg], bottom: 5 },
|
||
grid: { left: '3%', right: '4%', bottom: '18%', containLabel: true },
|
||
xAxis: { type: 'category', data: d.categories.map(tSub), axisLabel: { rotate: 15, fontSize: 11 } },
|
||
yAxis: { type: 'value', min: 20, max: 80 },
|
||
series: [
|
||
{ name: SCHOOL_DISPLAY, type: 'bar', data: d.school_values,
|
||
itemStyle: { color: COLORS.primary }, barWidth: '28%',
|
||
label: { show: true, position: 'top', fontSize: 10 } },
|
||
{ name: I18N.ec_district_avg, type: 'bar', data: d.avg_values, itemStyle: { color: COLORS.gray }, barWidth: '28%' },
|
||
{ name: I18N.ec_baseline_50, type: 'line', data: d.categories.map(() => 50),
|
||
lineStyle: { color: '#ef4444', type: 'dashed', width: 1 }, symbol: 'none' },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
|
||
// ===== 11. 水平分布堆叠条形图 =====
|
||
const levelDistData = {"part3": {"categories": ["\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e"], "level1": [37.5, 12.5, 25.0], "level2": [25.0, 12.5, 25.0], "level3": [37.5, 37.5, 50.0], "level4": [0.0, 37.5, 0.0], "school_levels": [1, 3, 1]}, "part4": {"categories": ["\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769"], "level1": [12.5, 12.5], "level2": [25.0, 37.5], "level3": [50.0, 50.0], "level4": [12.5, 0.0], "school_levels": [4, 3]}, "part5": {"categories": ["\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc"], "level1": [37.5, 12.5], "level2": [37.5, 37.5], "level3": [25.0, 37.5], "level4": [0.0, 12.5], "school_levels": [2, 3]}, "part6": {"categories": ["\u57f9\u8bad\u652f\u6301", "\u6559\u7814\u652f\u6301", "\u9879\u76ee\u652f\u6301"], "level1": [25.0, 25.0, 25.0], "level2": [25.0, 12.5, 62.5], "level3": [37.5, 37.5, 0.0], "level4": [12.5, 25.0, 12.5], "school_levels": [3, 4, 2]}, "part7": {"categories": ["\u79d1\u5b66\u8bc4\u4ef7\u89c2", "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30"], "level1": [12.5, 12.5, 12.5, 37.5], "level2": [37.5, 37.5, 50.0, 12.5], "level3": [37.5, 37.5, 25.0, 12.5], "level4": [12.5, 12.5, 12.5, 37.5], "school_levels": [3, 1, 1, 1]}, "part8": {"categories": ["\u533a\u57df\u63a8\u8fdb", "\u73af\u5883\u652f\u6301", "\u8d44\u6e90\u652f\u6301"], "level1": [12.5, 37.5, 12.5], "level2": [25.0, 37.5, 37.5], "level3": [37.5, 25.0, 37.5], "level4": [25.0, 0.0, 12.5], "school_levels": [4, 3, 3]}, "part9": {"categories": ["\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316"], "level1": [12.5, 12.5, 50.0], "level2": [0.0, 25.0, 12.5], "level3": [62.5, 50.0, 12.5], "level4": [25.0, 12.5, 25.0], "school_levels": [4, 2, 4]}};
|
||
Object.keys(levelDistData).forEach(chartId => {
|
||
const el = document.getElementById('level-' + chartId);
|
||
if (!el) return;
|
||
const chart = echarts.init(el);
|
||
const d = levelDistData[chartId];
|
||
if (!d.categories || d.categories.length === 0) return;
|
||
const localizedCats = d.categories.map(tSub);
|
||
const option = {
|
||
tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' },
|
||
formatter: function(params) {
|
||
let s = params[0].axisValue + '<br/>';
|
||
params.forEach(p => { s += p.marker + ' ' + p.seriesName + ': ' + p.value + '%<br/>'; });
|
||
const idx = localizedCats.indexOf(params[0].axisValue);
|
||
if (idx >= 0) s += '<strong>' + I18N.ec_at_level.replace('{name}', SCHOOL_DISPLAY).replace('{lv}', d.school_levels[idx]) + '</strong>';
|
||
return s;
|
||
}
|
||
},
|
||
legend: { data: [I18N.ec_lvl_one, I18N.ec_lvl_two, I18N.ec_lvl_three, I18N.ec_lvl_four], bottom: 5, textStyle: { fontSize: 11 } },
|
||
grid: { left: '3%', right: '4%', bottom: '18%', top: '5%', containLabel: true },
|
||
xAxis: { type: 'category', data: localizedCats, axisLabel: { fontSize: 11, rotate: 15 } },
|
||
yAxis: { type: 'value', max: 100, axisLabel: { formatter: '{value}%' } },
|
||
series: [
|
||
{ name: I18N.ec_lvl_one, type: 'bar', stack: 'total', data: d.level1, itemStyle: { color: COLORS.level1 }, barWidth: '50%' },
|
||
{ name: I18N.ec_lvl_two, type: 'bar', stack: 'total', data: d.level2, itemStyle: { color: COLORS.level2 } },
|
||
{ name: I18N.ec_lvl_three, type: 'bar', stack: 'total', data: d.level3, itemStyle: { color: COLORS.level3 } },
|
||
{ name: I18N.ec_lvl_four, type: 'bar', stack: 'total', data: d.level4, itemStyle: { color: COLORS.level4 } },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
|
||
// ===== 12. 各维度聚类散点图（2D / 3D） =====
|
||
const dimScatterData = {"part3": {"axes": ["\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e"], "dim_name": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "good_data": [[56.93, 48.49, 50.14], [46.11, 59.78, 51.18], [54.33, 58.75, 52.63], [54.3, 52.95, 47.42]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [29.74, 50.59, 38.12], "type": "3d", "weak_data": [[52.47, 41.16, 54.98], [36.27, 52.98, 37.81], [38.33, 62.13, 49.14]]}, "part4": {"axes": ["\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769"], "dim_name": "\u6559\u5b66\u53d8\u9769\u529b", "good_data": [[50.56, 50.73], [52.14, 51.6]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [54.93, 52.09], "type": "2d", "weak_data": [[50.21, 45.0], [NaN, NaN], [50.05, 50.64], [47.08, 45.48], [46.34, 46.7]]}, "part5": {"axes": ["\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc"], "dim_name": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "good_data": [[50.33, 58.73], [47.71, 54.85]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [49.8, 52.79], "type": "2d", "weak_data": [[43.36, 53.93], [44.57, 45.96], [49.22, 50.0], [NaN, 42.99], [51.81, 18.95]]}, "part6": {"axes": ["\u57f9\u8bad\u652f\u6301", "\u6559\u7814\u652f\u6301", "\u9879\u76ee\u652f\u6301"], "dim_name": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "good_data": [[49.79, 52.36, 49.72], [51.81, 56.79, 81.63]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [49.0, 55.05, 47.64], "type": "3d", "weak_data": [[47.45, 48.22, 43.44], [49.75, 50.63, 50.0], [NaN, NaN, 44.9], [48.41, 50.33, 46.18], [47.62, 46.45, 41.44]]}, "part7": {"axes": ["\u79d1\u5b66\u8bc4\u4ef7\u89c2", "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30"], "dim_name": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "good_data": [[51.68, 42.92], [40.66, 42.81], [50.68, 50.45], [58.46, 54.71]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [53.84, 40.74], "type": "2d", "weak_data": [[50.0, 50.0], [43.42, 48.32], [48.37, 44.47]]}, "part8": {"axes": ["\u533a\u57df\u63a8\u8fdb", "\u73af\u5883\u652f\u6301", "\u8d44\u6e90\u652f\u6301"], "dim_name": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "good_data": [[53.13, 46.59, 46.22], [61.57, 39.2, 50.24], [55.23, 49.19, 62.03]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [61.57, 50.06, 56.15], "type": "3d", "weak_data": [[23.03, 50.59, 48.78], [55.23, 44.91, 45.36], [46.8, 37.47, 54.1], [40.46, 33.35, 33.6]]}, "part9": {"axes": ["\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316"], "dim_name": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "good_data": [[54.82, 61.04, 50.0], [47.85, 53.4, 59.29]], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_point": [55.5, 48.3, 55.27], "type": "3d", "weak_data": [[51.16, 50.42, 27.49], [49.87, 50.42, 39.24], [NaN, NaN, 27.49], [53.06, 48.3, 41.38], [47.56, 52.55, 52.27]]}};
|
||
Object.keys(dimScatterData).forEach(partId => {
|
||
const el = document.getElementById('scatter-' + partId);
|
||
if (!el) return;
|
||
const d = dimScatterData[partId];
|
||
if (!d || !d.axes) return;
|
||
const chart = echarts.init(el);
|
||
const axisLabels = d.axes.map(tSub);
|
||
|
||
if (d.type === '3d') {
|
||
const option = {
|
||
tooltip: {
|
||
formatter: function(params) {
|
||
const v = params.value || (params.data && params.data.value);
|
||
if (!v) return '';
|
||
return params.seriesName + '<br/>'
|
||
+ axisLabels[0] + ': ' + (typeof v[0] === 'number' ? v[0].toFixed(2) : v[0]) + '<br/>'
|
||
+ axisLabels[1] + ': ' + (typeof v[1] === 'number' ? v[1].toFixed(2) : v[1]) + '<br/>'
|
||
+ axisLabels[2] + ': ' + (typeof v[2] === 'number' ? v[2].toFixed(2) : v[2]);
|
||
}
|
||
},
|
||
legend: { data: [I18N.ec_good_type_short, I18N.ec_weak_type_short, d.school_name], bottom: 5, textStyle: { fontSize: 11 } },
|
||
xAxis3D: { name: axisLabels[0], type: 'value', nameTextStyle: { fontSize: 10 } },
|
||
yAxis3D: { name: axisLabels[1], type: 'value', nameTextStyle: { fontSize: 10 } },
|
||
zAxis3D: { name: axisLabels[2], type: 'value', nameTextStyle: { fontSize: 10 } },
|
||
grid3D: {
|
||
viewControl: { autoRotate: true, autoRotateSpeed: 5, distance: 200, alpha: 20, beta: 30 },
|
||
boxWidth: 100, boxHeight: 100, boxDepth: 100,
|
||
light: { main: { intensity: 1.2, shadow: true }, ambient: { intensity: 0.3 } },
|
||
},
|
||
series: [
|
||
{ name: I18N.ec_good_type_short, type: 'scatter3D', data: d.good_data.map(p => ({ value: p })),
|
||
symbolSize: 8, itemStyle: { color: COLORS.success, opacity: 0.7 } },
|
||
{ name: I18N.ec_weak_type_short, type: 'scatter3D', data: d.weak_data.map(p => ({ value: p })),
|
||
symbolSize: 8, itemStyle: { color: COLORS.danger, opacity: 0.7 } },
|
||
{ name: d.school_name, type: 'scatter3D',
|
||
data: d.school_point ? [{ value: d.school_point }] : [],
|
||
symbolSize: 18, itemStyle: { color: COLORS.primary, borderColor: '#fff', borderWidth: 2 },
|
||
label: { show: true, formatter: d.school_name, textStyle: { fontSize: 12, fontWeight: 'bold', color: COLORS.primary } } },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
} else {
|
||
const option = {
|
||
tooltip: { formatter: p => (p.data && p.data.name) ? p.data.name : axisLabels[0] + ': ' + p.value[0] + '<br/>' + axisLabels[1] + ': ' + p.value[1] },
|
||
legend: { data: [I18N.ec_good_type_short, I18N.ec_weak_type_short, d.school_name], bottom: 5, textStyle: { fontSize: 11 } },
|
||
grid: { left: '10%', right: '8%', bottom: '18%', top: '5%' },
|
||
xAxis: { name: axisLabels[0], nameLocation: 'center', nameGap: 30, nameTextStyle: { fontSize: 11 }, splitLine: { show: true, lineStyle: { type: 'dashed' } } },
|
||
yAxis: { name: axisLabels[1], nameLocation: 'center', nameGap: 40, nameTextStyle: { fontSize: 11 }, splitLine: { show: true, lineStyle: { type: 'dashed' } } },
|
||
series: [
|
||
{ name: I18N.ec_good_type_short, type: 'scatter', data: d.good_data, symbolSize: 10, itemStyle: { color: COLORS.success, opacity: 0.6 } },
|
||
{ name: I18N.ec_weak_type_short, type: 'scatter', data: d.weak_data, symbolSize: 10, itemStyle: { color: COLORS.danger, opacity: 0.6 } },
|
||
{ name: d.school_name, type: 'scatter',
|
||
data: d.school_point ? [{ value: d.school_point, name: d.school_name, symbolSize: 22 }] : [],
|
||
symbolSize: 22, itemStyle: { color: COLORS.primary, borderColor: '#fff', borderWidth: 3 },
|
||
label: { show: true, formatter: d.school_name, position: 'top', textStyle: { fontSize: 13, fontWeight: 'bold', color: COLORS.primary } } },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
}
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
</script>
|
||
<script>
|
||
// ===== A. 学校画像卡（仪表盘 + 红绿灯） =====
|
||
const profileData = {"cluster": "\u5f85\u63d0\u5347", "dim_signals": [{"avg_level": 1.7, "min_level": 1, "name": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "rank": 8, "score": 39.48}, {"avg_level": 3.5, "min_level": 3, "name": "\u6559\u5b66\u53d8\u9769\u529b", "rank": 1, "score": 53.51}, {"avg_level": 2.5, "min_level": 2, "name": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "rank": 2, "score": 51.3}, {"avg_level": 3.0, "min_level": 2, "name": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "rank": 3, "score": 50.57}, {"avg_level": 1.5, "min_level": 1, "name": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "rank": 8, "score": 41.96}, {"avg_level": 3.3, "min_level": 3, "name": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "rank": 1, "score": 55.93}, {"avg_level": 3.3, "min_level": 2, "name": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "rank": 3, "score": 53.02}], "district_avg": 48.38, "level_counts": {"1": 5, "2": 3, "3": 7, "4": 5}, "rank": 2, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "school_type": "\u5e02\u5b9e\u9a8c\u6027\u793a\u8303\u6027\u9ad8\u4e2d", "total_schools": 8, "total_score": 49.4, "total_sub_dims": 20};
|
||
if (profileData && profileData.total_score) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('profile-card-chart'));
|
||
const score = profileData.total_score;
|
||
const districtAvg = profileData.district_avg;
|
||
const signals = profileData.dim_signals;
|
||
const levelCounts = profileData.level_counts;
|
||
|
||
const signalColor = function(minLevel) {
|
||
if (minLevel >= 4) return '#10b981';
|
||
if (minLevel >= 3) return '#3b82f6';
|
||
if (minLevel >= 2) return '#f59e0b';
|
||
return '#ef4444';
|
||
};
|
||
|
||
const subtitle = (profileData.school_type ? (tDim(profileData.school_type) || profileData.school_type) + ' · ' : '')
|
||
+ I18N.ec_district_rank_n.replace('{rank}', profileData.rank);
|
||
|
||
const option = {
|
||
title: [
|
||
{ text: profileData.school_name, left: 'center', top: 6, textStyle: { fontSize: 16, fontWeight: 'bold', color: '#1e3a5f' } },
|
||
{ text: subtitle, left: 'center', top: 28, textStyle: { fontSize: 11, color: '#6b7280' } },
|
||
],
|
||
series: [
|
||
{
|
||
type: 'gauge',
|
||
center: ['50%', '60%'],
|
||
radius: '55%',
|
||
startAngle: 210,
|
||
endAngle: -30,
|
||
min: 30,
|
||
max: 70,
|
||
splitNumber: 4,
|
||
itemStyle: { color: score >= districtAvg ? '#2563eb' : '#f59e0b' },
|
||
progress: { show: true, width: 18, roundCap: true },
|
||
pointer: { show: false },
|
||
axisLine: { lineStyle: { width: 18, color: [[0.25, '#fee2e2'], [0.5, '#fef3c7'], [0.75, '#dbeafe'], [1, '#d1fae5']] } },
|
||
axisTick: { show: false },
|
||
splitLine: { show: false },
|
||
axisLabel: { show: true, distance: 25, fontSize: 10, color: '#6b7280',
|
||
formatter: function(v) { return v.toFixed(0); } },
|
||
detail: {
|
||
valueAnimation: true, offsetCenter: [0, '-5%'],
|
||
fontSize: 36, fontWeight: 'bold', color: '#1e3a5f',
|
||
formatter: function(v) { return v.toFixed(1); },
|
||
},
|
||
data: [{ value: score }],
|
||
},
|
||
{ type: 'pie', center: ['50%', '92%'], radius: ['0%', '0%'], silent: true, data: [] },
|
||
],
|
||
graphic: (function() {
|
||
var items = [];
|
||
var startX = 50 - (signals.length - 1) * 6;
|
||
signals.forEach(function(sig, i) {
|
||
var x = startX + i * 12;
|
||
items.push({
|
||
type: 'circle', shape: { cx: 0, cy: 0, r: 8 },
|
||
left: x + '%', top: '78%',
|
||
style: { fill: signalColor(sig.min_level), shadowBlur: 6, shadowColor: signalColor(sig.min_level) },
|
||
});
|
||
items.push({
|
||
type: 'text',
|
||
left: x + '%', top: '84%',
|
||
style: { text: shortDim(sig.name), textAlign: 'center', fontSize: 9, fill: '#374151' },
|
||
});
|
||
});
|
||
var summaryText = I18N.ec_level_dist_summary + ': ';
|
||
summaryText += I18N.ec_lv_short + '4=' + levelCounts[4] + ' '
|
||
+ I18N.ec_lv_short + '3=' + levelCounts[3] + ' '
|
||
+ I18N.ec_lv_short + '2=' + levelCounts[2] + ' '
|
||
+ I18N.ec_lv_short + '1=' + levelCounts[1];
|
||
items.push({
|
||
type: 'text', left: 'center', top: '93%',
|
||
style: { text: summaryText, textAlign: 'center', fontSize: 10, fill: '#6b7280' },
|
||
});
|
||
return items;
|
||
})(),
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== B. 优势-短板象限图 =====
|
||
const quadrantData = {"items": [{"diff": -16.32, "level": 1, "name": "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "parent": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "score": 29.74}, {"diff": -2.76, "level": 3, "name": "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe", "parent": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "score": 50.59}, {"diff": -9.55, "level": 1, "name": "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e", "parent": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "score": 38.12}, {"diff": 4.74, "level": 4, "name": "\u6559\u5b66\u65b9\u5f0f\u53d8\u9769", "parent": "\u6559\u5b66\u53d8\u9769\u529b", "score": 54.93}, {"diff": 3.2, "level": 3, "name": "\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769", "parent": "\u6559\u5b66\u53d8\u9769\u529b", "score": 52.09}, {"diff": 1.69, "level": 2, "name": "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "parent": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "score": 49.8}, {"diff": 5.51, "level": 3, "name": "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc", "parent": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "score": 52.79}, {"diff": -0.12, "level": 3, "name": "\u57f9\u8bad\u652f\u6301", "parent": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "score": 49.0}, {"diff": 3.65, "level": 4, "name": "\u6559\u7814\u652f\u6301", "parent": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "score": 55.05}, {"diff": -2.98, "level": 2, "name": "\u9879\u76ee\u652f\u6301", "parent": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "score": 47.64}, {"diff": 4.2, "level": 3, "name": "\u79d1\u5b66\u8bc4\u4ef7\u89c2", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "score": 53.84}, {"diff": -6.06, "level": 1, "name": "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "score": 40.74}, {"diff": -12.08, "level": 1, "name": "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "score": 37.7}, {"diff": -12.65, "level": 1, "name": "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "score": 35.56}, {"diff": 11.94, "level": 4, "name": "\u533a\u57df\u63a8\u8fdb", "parent": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "score": 61.57}, {"diff": 6.14, "level": 3, "name": "\u73af\u5883\u652f\u6301", "parent": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "score": 50.06}, {"diff": 6.59, "level": 3, "name": "\u8d44\u6e90\u652f\u6301", "parent": "\u6559\u80b2\u6761\u4ef6\u4fdd\u969c\u529b", "score": 56.15}, {"diff": 4.09, "level": 4, "name": "\u6559\u5b66\u65b9\u5f0f\u521b\u65b0", "parent": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "score": 55.5}, {"diff": -3.76, "level": 2, "name": "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "parent": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "score": 48.3}, {"diff": 11.22, "level": 4, "name": "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316", "parent": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "score": 55.27}], "school_name": "\u534e\u4e8c\u4e34\u6e2f", "x_center": 50, "y_center": 0};
|
||
if (quadrantData && quadrantData.items && quadrantData.items.length > 0) {
|
||
(function() {
|
||
const chart = echarts.init(document.getElementById('quadrant-chart'));
|
||
const items = quadrantData.items;
|
||
|
||
const dimColors = {
|
||
'课程领导力': '#2563eb', '教学变革力': '#7c3aed', '学生发展指导力': '#059669',
|
||
'教师发展支持力': '#d97706', '教育质量评估力': '#dc2626',
|
||
'教育条件保障力': '#0891b2', '数字化赋能力': '#be185d',
|
||
};
|
||
|
||
const scatterData = items.map(function(item) {
|
||
return {
|
||
value: [item.score, item.diff],
|
||
name: tSub(item.name),
|
||
originalName: item.name,
|
||
parent: item.parent,
|
||
level: item.level,
|
||
itemStyle: { color: dimColors[item.parent] || '#6b7280' },
|
||
};
|
||
});
|
||
|
||
const option = {
|
||
tooltip: {
|
||
formatter: function(p) {
|
||
var d = p.data;
|
||
return '<strong>' + d.name + '</strong> (' + tDim(d.parent) + ')<br/>' +
|
||
I18N.ec_quad_score + ': ' + d.value[0] + '<br/>' +
|
||
I18N.ec_quad_diff + ': ' + (d.value[1] > 0 ? '+' : '') + d.value[1] + '<br/>' +
|
||
I18N.ec_quad_level + ': ' + d.level;
|
||
}
|
||
},
|
||
grid: { left: '12%', right: '5%', bottom: '12%', top: '8%' },
|
||
xAxis: {
|
||
name: I18N.ec_quad_x_axis, nameLocation: 'center', nameGap: 28,
|
||
nameTextStyle: { fontSize: 12 },
|
||
min: 20, max: 80,
|
||
splitLine: { show: true, lineStyle: { type: 'dashed', color: '#e5e7eb' } },
|
||
},
|
||
yAxis: {
|
||
name: I18N.ec_quad_y_axis, nameLocation: 'center', nameGap: 40,
|
||
nameTextStyle: { fontSize: 12 },
|
||
splitLine: { show: true, lineStyle: { type: 'dashed', color: '#e5e7eb' } },
|
||
},
|
||
series: [{
|
||
type: 'scatter',
|
||
data: scatterData,
|
||
symbolSize: function(val, params) { return Math.abs(val[1]) * 1.5 + 10; },
|
||
label: {
|
||
show: true, position: 'right', fontSize: 9,
|
||
formatter: function(p) {
|
||
var n = p.data.name;
|
||
if (LANG === 'en') {
|
||
return n.length > 14 ? n.substring(0, 14) + '…' : n;
|
||
}
|
||
return n.length > 5 ? n.substring(0, 5) + '…' : n;
|
||
},
|
||
color: '#374151',
|
||
},
|
||
}],
|
||
graphic: [
|
||
{ type: 'text', right: '8%', top: '10%',
|
||
style: { text: '■ ' + I18N.ec_quadrant_q1, fill: '#059669', fontSize: 11, fontWeight: 'bold' } },
|
||
{ type: 'text', left: '14%', bottom: '14%',
|
||
style: { text: '■ ' + I18N.ec_quadrant_q3, fill: '#dc2626', fontSize: 11, fontWeight: 'bold' } },
|
||
{ type: 'text', right: '8%', bottom: '14%',
|
||
style: { text: '⊙ ' + I18N.ec_quadrant_q4, fill: '#d97706', fontSize: 11, fontWeight: 'bold' } },
|
||
{ type: 'text', left: '14%', top: '10%',
|
||
style: { text: '↗ ' + I18N.ec_quadrant_q2, fill: '#2563eb', fontSize: 11, fontWeight: 'bold' } },
|
||
],
|
||
markLine: {},
|
||
};
|
||
option.series[0].markLine = {
|
||
silent: true, symbol: 'none',
|
||
lineStyle: { color: '#9ca3af', type: 'dashed', width: 1 },
|
||
data: [
|
||
{ xAxis: 50, label: { formatter: I18N.ec_quad_district_avg_marker, fontSize: 10, position: 'start' } },
|
||
{ yAxis: 0, label: { show: false } },
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
|
||
// ===== C. 温度计条形图 =====
|
||
const thermoData = {"data": {"\u4f5c\u4e1a\u8bbe\u8ba1\u4e0e\u7ba1\u7406\u53d8\u9769": {"district_avg": 48.89, "level": 3, "same_type_avg": 48.89, "score": 52.09, "thresholds": {"level2": 45, "level3": 49, "level4": 54}}, "\u533a\u57df\u63a8\u8fdb": {"district_avg": 49.63, "level": 4, "same_type_avg": 49.63, "score": 61.57, "thresholds": {"level2": 40, "level3": 52, "level4": 59}}, "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa": {"district_avg": 46.06, "level": 1, "same_type_avg": 46.06, "score": 29.74, "thresholds": {"level2": 43, "level3": 53.5, "level4": 57}}, "\u57f9\u8bad\u652f\u6301": {"district_avg": 49.12, "level": 3, "same_type_avg": 49.12, "score": 49.0, "thresholds": {"level2": 47.5, "level3": 49, "level4": 51}}, "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30": {"district_avg": 46.8, "level": 1, "same_type_avg": 46.8, "score": 40.74, "thresholds": {"level2": 41, "level3": 46, "level4": 54}}, "\u5b66\u751f\u751f\u6daf\u53d1\u5c55\u6307\u5bfc": {"district_avg": 47.27, "level": 3, "same_type_avg": 47.27, "score": 52.79, "thresholds": {"level2": 42, "level3": 50, "level4": 56}}, "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc": {"district_avg": 48.12, "level": 2, "same_type_avg": 48.12, "score": 49.8, "thresholds": {"level2": 46, "level3": 50, "level4": 60}}, "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30": {"district_avg": 48.2, "level": 1, "same_type_avg": 48.2, "score": 35.56, "thresholds": {"level2": 43, "level3": 46.5, "level4": 50}}, "\u6559\u5b66\u65b9\u5f0f\u521b\u65b0": {"district_avg": 51.4, "level": 4, "same_type_avg": 51.4, "score": 55.5, "thresholds": {"level2": 40, "level3": 45, "level4": 54}}, "\u6559\u5b66\u65b9\u5f0f\u53d8\u9769": {"district_avg": 50.19, "level": 4, "same_type_avg": 50.19, "score": 54.93, "thresholds": {"level2": 45, "level3": 49, "level4": 54}}, "\u6559\u7814\u652f\u6301": {"district_avg": 51.41, "level": 4, "same_type_avg": 51.41, "score": 55.05, "thresholds": {"level2": 47, "level3": 50, "level4": 55}}, "\u73af\u5883\u652f\u6301": {"district_avg": 43.92, "level": 3, "same_type_avg": 43.92, "score": 50.06, "thresholds": {"level2": 41, "level3": 49.5, "level4": 56}}, "\u79d1\u5b66\u8bc4\u4ef7\u89c2": {"district_avg": 49.64, "level": 3, "same_type_avg": 49.64, "score": 53.84, "thresholds": {"level2": 43, "level3": 50, "level4": 57}}, "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30": {"district_avg": 49.77, "level": 1, "same_type_avg": 49.77, "score": 37.7, "thresholds": {"level2": 39, "level3": 50, "level4": 58.5}}, "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316": {"district_avg": 52.06, "level": 2, "same_type_avg": 52.06, "score": 48.3, "thresholds": {"level2": 40, "level3": 50, "level4": 60}}, "\u8bfe\u7a0b\u7ed3\u6784\u5efa\u8bbe": {"district_avg": 53.35, "level": 3, "same_type_avg": 53.35, "score": 50.59, "thresholds": {"level2": 45, "level3": 49, "level4": 55.5}}, "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e": {"district_avg": 47.68, "level": 1, "same_type_avg": 47.68, "score": 38.12, "thresholds": {"level2": 44, "level3": 50, "level4": 58}}, "\u8bfe\u7a0b\u8fed\u4ee3\u4f18\u5316": {"district_avg": 44.05, "level": 4, "same_type_avg": 44.05, "score": 55.27, "thresholds": {"level2": 45, "level3": 50, "level4": 55}}, "\u8d44\u6e90\u652f\u6301": {"district_avg": 49.56, "level": 3, "same_type_avg": 49.56, "score": 56.15, "thresholds": {"level2": 42, "level3": 49, "level4": 57.5}}, "\u9879\u76ee\u652f\u6301": {"district_avg": 50.62, "level": 2, "same_type_avg": 50.62, "score": 47.64, "thresholds": {"level2": 44, "level3": 50, "level4": 56.5}}}, "school_name": "\u534e\u4e8c\u4e34\u6e2f"};
|
||
if (thermoData && thermoData.data) {
|
||
(function() {
|
||
var partSubMap = {};
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part3-1'] = '国家标准遵循';
|
||
|
||
|
||
|
||
|
||
partSubMap['part3-2'] = '课程结构建设';
|
||
|
||
|
||
|
||
|
||
partSubMap['part3-3'] = '课程规范落实';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part4-1'] = '教学方式变革';
|
||
|
||
|
||
|
||
|
||
partSubMap['part4-2'] = '作业设计与管理变革';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part5-1'] = '学科发展的个性化辅导';
|
||
|
||
|
||
|
||
|
||
partSubMap['part5-2'] = '学生生涯发展指导';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part6-1'] = '培训支持';
|
||
|
||
|
||
|
||
|
||
partSubMap['part6-2'] = '教研支持';
|
||
|
||
|
||
|
||
|
||
partSubMap['part6-3'] = '项目支持';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part7-1'] = '科学评价观';
|
||
|
||
|
||
|
||
|
||
partSubMap['part7-2'] = '学业质量评估';
|
||
|
||
|
||
|
||
|
||
partSubMap['part7-3'] = '综合素质评估';
|
||
|
||
|
||
|
||
|
||
partSubMap['part7-4'] = '实践活动评估';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part8-1'] = '区域推进';
|
||
|
||
|
||
|
||
|
||
partSubMap['part8-2'] = '环境支持';
|
||
|
||
|
||
|
||
|
||
partSubMap['part8-3'] = '资源支持';
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
partSubMap['part9-1'] = '教学方式创新';
|
||
|
||
|
||
|
||
|
||
partSubMap['part9-2'] = '评价精准化与个性化';
|
||
|
||
|
||
|
||
|
||
partSubMap['part9-3'] = '课程迭代优化';
|
||
|
||
|
||
|
||
|
||
Object.keys(partSubMap).forEach(function(key) {
|
||
var sdName = partSubMap[key];
|
||
var d = thermoData.data[sdName];
|
||
if (!d) return;
|
||
var el = document.getElementById('thermo-' + key);
|
||
if (!el) return;
|
||
|
||
var chart = echarts.init(el);
|
||
var score = d.score;
|
||
var distAvg = d.district_avg;
|
||
var sameTypeAvg = d.same_type_avg;
|
||
var th = d.thresholds;
|
||
|
||
var option = {
|
||
grid: { left: '3%', right: '3%', top: '25%', bottom: '25%' },
|
||
xAxis: { type: 'value', min: 20, max: 80, axisLabel: { show: false }, axisTick: { show: false }, axisLine: { show: false }, splitLine: { show: false } },
|
||
yAxis: { type: 'category', data: [''], axisLabel: { show: false }, axisTick: { show: false }, axisLine: { show: false } },
|
||
series: [
|
||
{ type: 'bar', data: [th.level2 - 20], stack: 'bg', barWidth: '60%', itemStyle: { color: '#fee2e2', borderRadius: [4, 0, 0, 4] }, silent: true },
|
||
{ type: 'bar', data: [th.level3 - th.level2], stack: 'bg', barWidth: '60%', itemStyle: { color: '#fef3c7' }, silent: true },
|
||
{ type: 'bar', data: [th.level4 - th.level3], stack: 'bg', barWidth: '60%', itemStyle: { color: '#dbeafe' }, silent: true },
|
||
{ type: 'bar', data: [80 - th.level4], stack: 'bg', barWidth: '60%', itemStyle: { color: '#d1fae5', borderRadius: [0, 4, 4, 0] }, silent: true },
|
||
],
|
||
graphic: (function() {
|
||
var items = [];
|
||
var toPercent = function(val) { return ((val - 20) / 60 * 94 + 3) + '%'; };
|
||
items.push({
|
||
type: 'text', left: toPercent(score), top: '2%',
|
||
style: { text: I18N.ec_thermo_self_marker + score, textAlign: 'center', fontSize: 11, fontWeight: 'bold', fill: '#1e3a5f' },
|
||
});
|
||
items.push({
|
||
type: 'text', left: toPercent(distAvg), bottom: '0%',
|
||
style: { text: I18N.ec_thermo_dist_marker, textAlign: 'center', fontSize: 9, fill: '#6b7280' },
|
||
});
|
||
if (Math.abs(sameTypeAvg - distAvg) > 1) {
|
||
items.push({
|
||
type: 'text', left: toPercent(sameTypeAvg), bottom: '0%',
|
||
style: { text: I18N.ec_thermo_same_marker, textAlign: 'center', fontSize: 9, fill: '#d97706' },
|
||
});
|
||
}
|
||
return items;
|
||
})(),
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
});
|
||
})();
|
||
}
|
||
|
||
// ===== D. 进步空间瀑布图 =====
|
||
const waterfallData = {"current_total": 49.4, "improvements": [{"current_level": 1, "current_score": 29.74, "gap": 23.76, "name": "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "parent": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "target_score": 53.5}, {"current_level": 1, "current_score": 37.7, "gap": 12.3, "name": "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "target_score": 50}, {"current_level": 1, "current_score": 38.12, "gap": 11.88, "name": "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e", "parent": "\u8bfe\u7a0b\u9886\u5bfc\u529b", "target_score": 50}, {"current_level": 1, "current_score": 35.56, "gap": 10.94, "name": "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "target_score": 46.5}, {"current_level": 1, "current_score": 40.74, "gap": 5.26, "name": "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "parent": "\u6559\u80b2\u8d28\u91cf\u8bc4\u4f30\u529b", "target_score": 46}, {"current_level": 2, "current_score": 47.64, "gap": 2.36, "name": "\u9879\u76ee\u652f\u6301", "parent": "\u6559\u5e08\u53d1\u5c55\u652f\u6301\u529b", "target_score": 50}, {"current_level": 2, "current_score": 48.3, "gap": 1.7, "name": "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "parent": "\u6570\u5b57\u5316\u8d4b\u80fd\u529b", "target_score": 50}, {"current_level": 2, "current_score": 49.8, "gap": 0.2, "name": "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "parent": "\u5b66\u751f\u53d1\u5c55\u6307\u5bfc\u529b", "target_score": 50}], "potential_total": 52.81, "school_name": "\u534e\u4e8c\u4e34\u6e2f", "steps": [{"name": "\u5f53\u524d\u603b\u5206", "type": "current", "value": 49.4}, {"detail": "\u4ece\u6c34\u5e731\u2192\u6c34\u5e733 (+23.76\u5206)", "name": "\u56fd\u5bb6\u6807\u51c6\u9075\u5faa", "type": "gain", "value": 1.19}, {"detail": "\u4ece\u6c34\u5e731\u2192\u6c34\u5e733 (+12.3\u5206)", "name": "\u7efc\u5408\u7d20\u8d28\u8bc4\u4f30", "type": "gain", "value": 0.61}, {"detail": "\u4ece\u6c34\u5e731\u2192\u6c34\u5e733 (+11.88\u5206)", "name": "\u8bfe\u7a0b\u89c4\u8303\u843d\u5b9e", "type": "gain", "value": 0.59}, {"detail": "\u4ece\u6c34\u5e731\u2192\u6c34\u5e733 (+10.94\u5206)", "name": "\u5b9e\u8df5\u6d3b\u52a8\u8bc4\u4f30", "type": "gain", "value": 0.55}, {"detail": "\u4ece\u6c34\u5e731\u2192\u6c34\u5e733 (+5.26\u5206)", "name": "\u5b66\u4e1a\u8d28\u91cf\u8bc4\u4f30", "type": "gain", "value": 0.26}, {"detail": "\u4ece\u6c34\u5e732\u2192\u6c34\u5e733 (+2.36\u5206)", "name": "\u9879\u76ee\u652f\u6301", "type": "gain", "value": 0.12}, {"detail": "\u4ece\u6c34\u5e732\u2192\u6c34\u5e733 (+1.7\u5206)", "name": "\u8bc4\u4ef7\u7cbe\u51c6\u5316\u4e0e\u4e2a\u6027\u5316", "type": "gain", "value": 0.08}, {"detail": "\u4ece\u6c34\u5e732\u2192\u6c34\u5e733 (+0.2\u5206)", "name": "\u5b66\u79d1\u53d1\u5c55\u7684\u4e2a\u6027\u5316\u8f85\u5bfc", "type": "gain", "value": 0.01}, {"name": "\u6f5c\u5728\u603b\u5206", "type": "potential", "value": 52.81}], "total_gain": 3.41};
|
||
if (waterfallData && waterfallData.steps && waterfallData.steps.length > 1) {
|
||
(function() {
|
||
var el = document.getElementById('waterfall-chart');
|
||
if (!el) return;
|
||
var chart = echarts.init(el);
|
||
var steps = waterfallData.steps;
|
||
|
||
var categories = [];
|
||
var baseData = [];
|
||
var gainData = [];
|
||
var totalData = [];
|
||
|
||
var runningBase = 0;
|
||
steps.forEach(function(step, i) {
|
||
// 名字本地化（gain 项是子维度名，current/potential 是固定文案）
|
||
var displayName;
|
||
if (step.type === 'current') {
|
||
displayName = I18N.ec_waterfall_current;
|
||
} else if (step.type === 'potential') {
|
||
displayName = I18N.ec_waterfall_potential;
|
||
} else {
|
||
displayName = tSub(step.name) || step.name;
|
||
}
|
||
var maxLen = LANG === 'en' ? 14 : 6;
|
||
var shortName = displayName.length > maxLen ? displayName.substring(0, maxLen) + '…' : displayName;
|
||
categories.push(shortName);
|
||
|
||
if (step.type === 'current') {
|
||
baseData.push(0); gainData.push(0); totalData.push(step.value);
|
||
runningBase = step.value;
|
||
} else if (step.type === 'gain') {
|
||
baseData.push(runningBase); gainData.push(step.value); totalData.push(0);
|
||
runningBase += step.value;
|
||
} else if (step.type === 'potential') {
|
||
baseData.push(0); gainData.push(0); totalData.push(step.value);
|
||
}
|
||
});
|
||
|
||
var option = {
|
||
tooltip: {
|
||
trigger: 'axis', axisPointer: { type: 'shadow' },
|
||
formatter: function(params) {
|
||
var idx = params[0].dataIndex;
|
||
var step = steps[idx];
|
||
var detailName = step.type === 'gain' ? (tSub(step.name) || step.name) : step.name;
|
||
if (step.type === 'current') return I18N.ec_waterfall_current + ': <strong>' + step.value + '</strong> ' + I18N.ec_waterfall_pts_unit;
|
||
if (step.type === 'potential') return I18N.ec_waterfall_potential + ': <strong>' + step.value + '</strong> ' + I18N.ec_waterfall_pts_unit + ' (+' + waterfallData.total_gain + ')';
|
||
return '<strong>' + detailName + '</strong><br/>' +
|
||
(step.detail || '') + '<br/>' + I18N.ec_waterfall_contrib + ': +' + step.value + ' ' + I18N.ec_waterfall_pts_unit;
|
||
},
|
||
},
|
||
grid: { left: '5%', right: '5%', bottom: '18%', top: '8%', containLabel: true },
|
||
xAxis: {
|
||
type: 'category', data: categories,
|
||
axisLabel: { fontSize: 10, rotate: 20 },
|
||
},
|
||
yAxis: {
|
||
type: 'value',
|
||
min: Math.floor(waterfallData.current_total - 2),
|
||
max: Math.ceil(waterfallData.potential_total + 2),
|
||
axisLabel: { fontSize: 11 },
|
||
},
|
||
series: [
|
||
{ type: 'bar', stack: 'waterfall', data: baseData, itemStyle: { color: 'transparent' }, barWidth: '45%', emphasis: { itemStyle: { color: 'transparent' } } },
|
||
{ type: 'bar', stack: 'waterfall', data: gainData,
|
||
itemStyle: { color: '#10b981', borderRadius: [4, 4, 0, 0] }, barWidth: '45%',
|
||
label: { show: true, position: 'top', fontSize: 10, color: '#059669',
|
||
formatter: function(p) { return p.value > 0 ? '+' + p.value.toFixed(2) : ''; } },
|
||
},
|
||
{ type: 'bar', data: totalData,
|
||
itemStyle: { color: function(p) { return p.dataIndex === 0 ? '#2563eb' : '#0891b2'; }, borderRadius: [4, 4, 0, 0] },
|
||
barWidth: '45%',
|
||
label: { show: true, position: 'top', fontSize: 12, fontWeight: 'bold', color: '#1e3a5f',
|
||
formatter: function(p) { return p.value > 0 ? p.value.toFixed(1) : ''; } },
|
||
},
|
||
],
|
||
};
|
||
chart.setOption(option);
|
||
window.addEventListener('resize', () => chart.resize());
|
||
})();
|
||
}
|
||
</script>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<script>
|
||
(function() {
|
||
/* ---- 1. 自动扫描 h1/h2 生成 TOC ---- */
|
||
var track = document.getElementById('toc-track');
|
||
var container = document.querySelector('.report-container');
|
||
// 取 .section 内的 h1（部分标题）和 h2[id]（子维度标题）
|
||
var headings = container.querySelectorAll('.section > h1, h2[id]');
|
||
var currentGroup = null;
|
||
|
||
headings.forEach(function(h) {
|
||
// 确保有 id 可跳转；h1 取父 .section 的 id，h2 自身有 id
|
||
var id = '';
|
||
if (h.tagName === 'H1') {
|
||
var sec = h.closest('.section');
|
||
id = sec ? sec.id : '';
|
||
} else {
|
||
id = h.id;
|
||
}
|
||
if (!id) return;
|
||
|
||
var a = document.createElement('a');
|
||
a.href = '#' + id;
|
||
a.className = 'toc-item';
|
||
// 去掉"第X部分 / Part X." 前缀，只保留核心文字
|
||
var text = h.textContent;
|
||
// 中文：去掉"第X部分 "
|
||
text = text.replace(/^第[一二三四五六七八九十]+部分\s*/, '');
|
||
// 英文：去掉"Part X. "
|
||
text = text.replace(/^Part\s+[IVXLC]+\.?\s*/, '');
|
||
// h2 也去掉"二、""三、"等编号前缀
|
||
text = text.replace(/^[一二三四五六七八九十]+、\s*/, '');
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// 英文 h2：去掉"I." "II." 等罗马数字前缀
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text = text.replace(/^[IVXLC]+\.\s*/, '');
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// 英文 h2：去掉 "(i) (ii)" 等小写罗马数字
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text = text.replace(/^\([ivxlc]+\)\s*/, '');
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a.textContent = text;
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if (h.tagName === 'H1') {
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a.classList.add('level-1');
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a.setAttribute('data-group', id);
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currentGroup = id;
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} else {
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a.classList.add('level-2');
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if (currentGroup) a.setAttribute('data-parent', currentGroup);
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}
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track.appendChild(a);
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});
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/* ---- 2. 事件绑定 ---- */
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||
var tocItems = track.querySelectorAll('.toc-item');
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var level2Items = track.querySelectorAll('.toc-item.level-2');
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var sections = [];
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tocItems.forEach(function(item) {
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var target = document.getElementById(item.getAttribute('href').slice(1));
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if (target) sections.push({ el: target, link: item });
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// 点击平滑滚动
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item.addEventListener('click', function(e) {
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e.preventDefault();
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target && target.scrollIntoView({ behavior: 'smooth', block: 'start' });
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if (window.innerWidth <= 1280) {
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document.getElementById('toc-nav').classList.remove('show');
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}
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});
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});
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function expandGroup(gid) {
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level2Items.forEach(function(item) {
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item.classList.toggle('visible', item.getAttribute('data-parent') === gid);
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});
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}
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|
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/* ---- 3. 滚动高亮 ---- */
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var ticking = false;
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window.addEventListener('scroll', function() {
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if (ticking) return;
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ticking = true;
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window.requestAnimationFrame(function() {
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var scrollY = window.scrollY + 150;
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var current = null;
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for (var i = sections.length - 1; i >= 0; i--) {
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if (sections[i].el.offsetTop <= scrollY) { current = sections[i]; break; }
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}
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tocItems.forEach(function(item) { item.classList.remove('active'); });
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if (current) {
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current.link.classList.add('active');
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expandGroup(current.link.getAttribute('data-group') || current.link.getAttribute('data-parent') || '');
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}
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ticking = false;
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});
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});
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window.dispatchEvent(new Event('scroll'));
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})();
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</script>
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||
|
||
</body>
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</html> |