Change log

National Tsing Hua University - NTHU

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Change summary

Current public record freshness and review state.

National Tsing Hua University - NTHU currently has 8 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 15, 2026. No tracker diff rows are recorded in the latest public release.

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

Semantic classification for this release diff.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

No tracker claim/evidence/source changes are recorded for this university in the latest public release.

Claim changes

8 claim records

source_status

NTHU announced the Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education on May 1, 2023 in response to generative AI tools including ChatGPT.

Review: Agent reviewedConfidence94%Evidence1Languagesen

teaching

NTHU's Chinese AI collaboration and literacy guideline recommends that faculty and students use AI in educational settings transparently and responsibly, with instructors clearly stating course AI rules and both students and instructors honestly disclosing AI use when relevant.

Review: Agent reviewedConfidence93%Evidence1Languageszh-Hant

academic_integrity

For educator teaching, NTHU's Chinese AI guideline says the university respects instructors' course AI-tool strategies and that instructors should state student AI-use rules in syllabi, especially correct AI citation and disclosure of the use process.

Review: Agent reviewedConfidence92%Evidence1Languageszh-Hant

teaching

NTHU CTLD's course-syllabi generative-AI guidance encourages faculty members to specify course logistics and AIGC policies using four options: unrestricted use with no disclosure required, conditionally open, prohibited use, or not applicable.

Review: Agent reviewedConfidence92%Evidence1Languagesen

academic_integrity

NTHU's Chinese AI collaboration and literacy guideline says faculty and students should be able to check the accuracy of AI-generated content and take responsibility for content they produce.

Review: Agent reviewedConfidence91%Evidence1Languageszh-Hant

teaching

NTHU's Chinese AI guideline gives assessment recommendations: depending on the course, AI assistance may be allowed for assignments, but diverse submission formats are recommended; exam questions should emphasize deeper reasoning, creativity, analysis, and critical thinking.

Review: Agent reviewedConfidence91%Evidence1Languageszh-Hant

teaching

NTHU's Chinese AI guideline describes AI competence as broader than programming and says NTHU plans to cultivate student AI competence through formal and informal learning, including foundational and specialized AI courses and integrating AI into courses across disciplines.

Review: Agent reviewedConfidence90%Evidence1Languageszh-Hant

academic_integrity

In CTLD's example ethics statements for conditionally open generative-AI use, undisclosed usage may allow instructors, the institution, or relevant units to reevaluate an assignment or report or withhold scores.

Review: Agent reviewedConfidence89%Evidence1Languagesen

Source snapshots

4 source attributions