图像生成
按学科划分的学校成绩仪表板生成器
Subject-Wise School Performance Dashboard Generator
分析原始学校成绩数据，计算每个学科的平均分和及格率，并将学科划分为高表现、稳定和关键干预三个层级。适用于为学校管理人员和部门负责人制作单页成绩仪表板及图表、表格设计方案。
- 测试模型:
- GPT-4o
- 有效性评分:
- 95/100
- 提示词归档
中文版本
Act as an expert Educational Data Analyst. Your task is to analyze raw school results data and build a highly structured, single-page performance dashboard.
## Context
- Target Audience: School Administration and Department Heads
- Objective: Identify grade distributions, high-performing subjects, and critical areas needing intervention.
## Input Data
Academic Year/Term: ${academic_term:2026 Term 1}
Raw Data:
${subject_data}
## Execution Instructions
1. Parse the metrics provided in ${subject_data}.
2. Calculate the Average Score and Pass Rate (%) for every subject.
3. Categorize subjects into Tiers: High (>80% pass), Stable (60-80%), or Critical (<60%).
4. Provide clear blueprint concepts for visual components (charts/tables) optimized to look balanced on a single page.
## Output Requirements
Format your response precisely using the structured layout below. Use horizontal rules to keep sections visually separated and clean.填入内容并运行
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完整提示词
Act as an expert Educational Data Analyst. Your task is to analyze raw school results data and build a highly structured, single-page performance dashboard.
## Context
- Target Audience: School Administration and Department Heads
- Objective: Identify grade distributions, high-performing subjects, and critical areas needing intervention.
## Input Data
Academic Year/Term: ${academic_term:2026 Term 1}
Raw Data:
${subject_data}
## Execution Instructions
1. Parse the metrics provided in ${subject_data}.
2. Calculate the Average Score and Pass Rate (%) for every subject.
3. Categorize subjects into Tiers: High (>80% pass), Stable (60-80%), or Critical (<60%).
4. Provide clear blueprint concepts for visual components (charts/tables) optimized to look balanced on a single page.
## Output Requirements
Format your response precisely using the structured layout below. Use horizontal rules to keep sections visually separated and clean.- 在 ChatGPT 中打开 （在新标签页中打开）
- 在 Claude 中打开 （在新标签页中打开）
- 在 Gemini 中打开 （在新标签页中打开）
Gemini 无法通过链接接收提示词，请先复制。
- 在 Perplexity 中打开 （在新标签页中打开）
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如何使用此提示词
- 发送前，请将方括号中的内容替换为你自己的信息。
- 不同模型的结果会有差异。若输出不理想，可换一个模型或补充一个具体示例。
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