Change log

Chungnam National University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

Chungnam National University currently has 4 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 21, 2026.

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.

Claim/evidence diff preview

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Chungnam National University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # Chungnam National University AI policy record
2+academic_integrity: Chungnam National University's learner guide states that not following syllabus or instructor-agreed generative-AI criteria, or inappropriate AI use, may be regarded as cheating; examples include presenting AI answers as one's own, failing to disclose AI use, or using AI in a class where it is fully prohibited.
3+Evidence (ko, 645d5e5e8a5c): 강의계획서에 명시된 지침 또는 학기 초에 교수자와 합의된 기준을 준수하지 않거나 생성형 AI를 부적절하게 사용한 것으로 판단 될 시, 부정행위로 간주 될 수 있음을 인지한다. 생성형 AI 의 답변을 본인이 작성한 것처럼 표기한 경우, 생성형 AI 사용시 사용 여부를 표기하지 않은 경우, 생성형 AI 사용이 전면 금지된 수업에서 사용한 경우 등
4+academic_integrity: Chungnam National University's learner guidance says learners should follow instructor-provided generative-AI criteria, use AI as a learning support tool, verify AI outputs against reliable sources, and clearly mark the source, generation method, and scope of AI-generated materials.
5+Evidence (ko, 2596742ea34a): 학습자는 생성형 AI 활용 시 교수자가 제시한 지침을 숙지하고, 수업 활동이나 과제 수행에서 이를 준수한다. 학습자는 생성형 AI를 활용하여 산출된 자료에 대해서는 출처와 생성 방법, 활용 범위 등을 명확하게 표시한다.
6+academic_integrity: Chungnam National University's instructor guidance says that when generative AI is used in class, instructors should state its purpose and scope in the syllabus, explain correct use and standards for cheating or plagiarism, and guide students to cite AI-generated outputs.
7+Evidence (ko, 6e8135a6c83b): 교수자는 수업에서 생성형 AI를 활용할 경우 강의계획서에 그 목적과 범위를 명시하고, 학습자에게 올바른 사용법과 활용 기준을 구체적으로 안내한다. 교수자는 생성형 AI 사용 시 부정행위나 표절에 대한 기준을 명확히 전달하고, AI가 생성한 결과물의 출처를 반드시 표기하도록 지도한다.
8+teaching: Chungnam National University's Education Innovation Office publishes generative-AI teaching and learning principles saying instructors and learners should discuss AI use in teaching and learning and comply with the agreed terms.
9+Evidence (ko, 4a1870bb0d60): 교수자와 학습자는 생성형 AI의 교수학습 활용 방안에 대해 논의하고 합의된 사항을 준수해야 한다. 교수자와 학습자는 AI가 생성한 결과물을 비판적으로 검토하고, 편향성과 오류 가능성을 인지하며, 윤리적으로 책임감을 가지고 활용해야 한다.

Claim changes

4 claim records

academic_integrity

Chungnam National University's learner guide states that not following syllabus or instructor-agreed generative-AI criteria, or inappropriate AI use, may be regarded as cheating; examples include presenting AI answers as one's own, failing to disclose AI use, or using AI in a class where it is fully prohibited.

Review: Agent reviewedConfidence90%Evidence1Languagesko

academic_integrity

Chungnam National University's learner guidance says learners should follow instructor-provided generative-AI criteria, use AI as a learning support tool, verify AI outputs against reliable sources, and clearly mark the source, generation method, and scope of AI-generated materials.

Review: Agent reviewedConfidence89%Evidence2Languagesko

academic_integrity

Chungnam National University's instructor guidance says that when generative AI is used in class, instructors should state its purpose and scope in the syllabus, explain correct use and standards for cheating or plagiarism, and guide students to cite AI-generated outputs.

Review: Agent reviewedConfidence88%Evidence1Languagesko

teaching

Chungnam National University's Education Innovation Office publishes generative-AI teaching and learning principles saying instructors and learners should discuss AI use in teaching and learning and comply with the agreed terms.

Review: Agent reviewedConfidence86%Evidence1Languagesko

Source snapshots

4 source attributions

교육혁신본부 | 생성형AI교수학습활용 | 생성형 AI 교수학습 활용 지침 | 교수자 지침

official_guidance checked May 21, 2026

Snapshot hash
6e8135a6c83b5881cbf7f41704bd619213df768c64fb01d5285ee372a2a84d83

교육혁신본부 | 생성형AI교수학습활용 | 생성형 AI 교수학습 활용 지침 | 기본 원칙

official_guidance checked May 21, 2026

Snapshot hash
4a1870bb0d60e2b04ab37cfdb975ae728538476790cbf1528a4e4d2a0650a632

교육혁신본부 | 생성형AI교수학습활용 | 생성형 AI 교수학습 활용 지침 | 학습자 지침

official_guidance checked May 21, 2026

Snapshot hash
2596742ea34a876f488d194a85b0c7d5c0bfa7307c7c38beaacc00fb85672525

교육혁신본부 | 생성형AI교수학습활용 | 수업 단계별 생성형 AI 활용 가이드 | 학습자 가이드

official_guidance checked May 21, 2026

Snapshot hash
645d5e5e8a5c9f61cefff7e735261d1bd199dbe4b7b164a5256cf0006646e854