原文核对：2026-10-13 · 中文正文 · 英文提示词与演示
场景定位
利用去标识化作业、量规、成绩导出和反馈，建立校准工作簿，检查评分模式并提出量规澄清建议。
- 难度
- 高级
- 时间跨度
- 1 小时
适合用于
- 跨班或跨评阅者校准评分的教师。
- 每个标记都需证据的去标识化评估审阅。
- 需要更明确标准或示例的评分量规。
相关工具
对照量规、评分模式和证据。
综合反馈并起草量规澄清建议。
起步提示词
英文原文 · 可复制后按实际材料修改
Review the de-identified submissions, rubric, grading export, sample feedback, course outcomes, and calibration rules I provide.
Create a calibration workbook that:
- flags possible scoring inconsistencies
- summarizes common strengths and gaps
- identifies feedback themes
- suggests rubric clarifications
- cites evidence for every flag
Do not assign or change grades. Route every scoring judgment to faculty review.去标识化并界定审阅
分享前删除直接标识符，提供量规、课程目标、校准规则和代表反馈，以预期标准对照证据。
明确可标记的问题与必须由教师决定的事项。
创建校准工作簿
分别列出：
- 量规标准与预期证据。
- 分数分布及潜在不一致。
- 代表案例。
- 共同优点和学习缺口。
- 反馈主题。
- 需共同审阅的案例。
每个标记只是审阅线索，不是评分决定。
验证发现
教师应检查证据、确认比较同类，并留意便利安排或作业版本等缺失背景。不得用工作簿赋予、更改或自动决定最终成绩。
把确认模式转成量规澄清和校准示例，未确定案例仍明确保留。
展开英文原文对照
Use ChatGPT with de-identified submissions, rubrics, grading exports, and sample feedback to create a calibration workbook with evidence flags, scoring-pattern checks, and rubric clarification recommendations.
De-identify and define the review
Remove direct identifiers before sharing submissions or grading exports. Provide the rubric, course outcomes, calibration rules, and representative feedback so ChatGPT can compare evidence against the intended criteria.
State what the review may flag and what must remain a faculty decision.
Create the calibration workbook
Use the starter prompt to produce a workbook that separates:
- rubric criteria and expected evidence
- score distributions and possible inconsistencies
- representative examples
- common strengths and learning gaps
- feedback themes
- cases that need joint review
Treat every flag as a review lead, not a grading decision.
Validate the findings
Faculty reviewers should check the source evidence, confirm that comparisons are like-for-like, and look for missing context such as accommodations or assignment variants. Do not use the workbook to assign, alter, or automate final grades.
After review, ask ChatGPT to turn confirmed patterns into proposed rubric clarifications and calibration examples. Keep uncertain cases visibly unresolved.