Policy presence
East China Normal University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Shanghai, China (Mainland)
East China Normal University is listed as QS 2026 rank =433. East China Normal University has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
East China Normal University is listed as QS 2026 rank =433. East China Normal University has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists East China Normal University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/east-china-normal-university.json. The entity-level confidence is 92%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
East China Normal University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
East China Normal University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
East China Normal University has 4 source-backed public claims for coursework; deterministic analysis status: required.
East China Normal University has 4 source-backed public claims for exams; deterministic analysis status: required.
East China Normal University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
East China Normal University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
East China Normal University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
East China Normal University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
East China Normal University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
East China Normal University has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
5 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: college-scoped_aigc_use_with_marking_and_20_percent_limit
Original evidence
Evidence 1学生需要将AIGC直接生成的内容与学生个人的学术贡献分开,并明确标注AIGC在学生学业相关任务中的贡献。对AIGC直接生成内容的部分需标红,直接生成的内容不能超过全文的20%。
Localized display only
Students should separate and mark direct AIGC-generated content, and direct generated content should not exceed 20% of the full text.
Academic Integrity
Normalized value: aigc_self_check_accuracy_ip_privacy_student_responsibility
Original evidence
Evidence 1学生需对AIGC直接生成的内容进行自查,对有争议的内容进行人工修正或说明,包括但不限于准确性、知识产权、数据隐私等。最终学生应对其提交的全部内容负责。
Localized display only
Students should self-check direct AIGC output for issues such as accuracy, intellectual property, and data privacy, and remain responsible for submissions.
Academic Integrity
Normalized value: graduate_academic_integrity_citation_plagiarism_fabrication_rules
Original evidence
Evidence 1本实施办法适用于在我校攻读学位的各类研究生。研究生在科学研究和学术活动中,要遵守以下原则:严格遵守国家相关法律、法规及规章制度,保护知识产权,严谨治学,探求真理,维护科学诚信。
Localized display only
The regulation applies to ECNU graduate students and requires compliance with laws, intellectual property protection, rigorous scholarship, and scientific integrity.
Teaching
Normalized value: teacher_course_level_permission_controls_aigc_use
Original evidence
Evidence 1教师可以根据课程的性质,许可或不许可使用AIGC工具。学生应遵守教师的课程要求。
Localized display only
Teachers may permit or not permit AIGC tools depending on course nature, and students should follow course requirements.
Source Status
Normalized value: no_university_wide_ai_policy_found_college_scoped_guide_only
Original evidence
Evidence 1此次发布的《生成式人工智能学生使用指南》目前适用于两校传播学院超过1400名在校本科生和硕博研究生。
Localized display only
The guide currently applies to more than 1,400 undergraduate, master's, and doctoral students in the two universities' communication colleges.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
2 source attribution
ecnu.edu.cn
xxgk.ecnu.edu.cn
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.