Change log

Xiamen University

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

Xiamen University currently has 5 source-backed claim records and 1 official source attribution. Latest tracked changed date: May 16, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for Xiamen University. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.

Diff categories

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Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

Xiamen University combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+10-0
11 # Xiamen University AI policy record
2+teaching: Xiamen University's AI teaching guideline applies to Xiamen University teachers and students using generative AI services for on-campus course teaching activities.
3+Evidence (zh-CN, 627a52a1cc6e): 第二条 厦门大学在校师生利用生成式人工智能服务从事校内课程教学的相关活动,适用本指南。
4+teaching: Xiamen University's AI teaching guideline says teachers should state in their courses which generative AI services students may use or are prohibited from using.
5+Evidence (zh-CN, 627a52a1cc6e): 第九条 教师应在所负责课程的教学过程中明确规定学生可使用或禁止使用的生成式人工智能服务。
6+academic_integrity: Xiamen University's AI teaching guideline says students using generative AI services in course learning should actively disclose that use to the teacher and accurately mark the contribution of generative AI when required by the teacher.
7+Evidence (zh-CN, 627a52a1cc6e): 第十三条 学生在课内学习中使用生成式人工智能服务时,应主动向教师披露。学生应遵守相关引用规范,根据教师要求,在作业或者作品中准确、完整地标注生成式人工智能的贡献,维护学术诚信和避免抄袭(详见附件)。
8+privacy: Xiamen University's AI teaching guideline says students should strictly observe data protection principles and must not enter sensitive data into generative AI tools.
9+Evidence (zh-CN, 627a52a1cc6e): 第十四条 学生应严格遵守数据保护原则,不得将敏感数据输入生成式人工智能工具。
10+academic_integrity: Xiamen University's AI teaching guideline says the university may handle improper use of generative AI under higher-education academic misconduct rules, Xiamen University academic misconduct rules, and student disciplinary rules.
11+Evidence (zh-CN, 627a52a1cc6e): 第十五条 对违规使用生成式人工智能的,学校可以依据《高等学校预防与处理学术不端行为办法》《厦门大学学术失范与学术不端行为处理办法》《厦门大学学生违纪处分规定》等规定予以处理。

Release history

0 public release diffs

Claim changes

5 claim records

teaching

Xiamen University's AI teaching guideline applies to Xiamen University teachers and students using generative AI services for on-campus course teaching activities.

Review: Agent reviewedConfidence95%Evidence1Languageszh-CN

teaching

Xiamen University's AI teaching guideline says teachers should state in their courses which generative AI services students may use or are prohibited from using.

Review: Agent reviewedConfidence95%Evidence1Languageszh-CN

academic_integrity

Xiamen University's AI teaching guideline says students using generative AI services in course learning should actively disclose that use to the teacher and accurately mark the contribution of generative AI when required by the teacher.

Review: Agent reviewedConfidence95%Evidence1Languageszh-CN

privacy

Xiamen University's AI teaching guideline says students should strictly observe data protection principles and must not enter sensitive data into generative AI tools.

Review: Agent reviewedConfidence95%Evidence1Languageszh-CN

academic_integrity

Xiamen University's AI teaching guideline says the university may handle improper use of generative AI under higher-education academic misconduct rules, Xiamen University academic misconduct rules, and student disciplinary rules.

Review: Agent reviewedConfidence94%Evidence1Languageszh-CN

Source snapshots

1 source attribution