Shanghai, China (Mainland)

East China Normal University

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage5 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/east-china-normal-university.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Evidence includes Source status claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims5Reviewed5Candidate0Official sources2

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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

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.

AI disclosure

East China Normal University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Privacy and data entry

East China Normal University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1

Approved tools

East China Normal University has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence78%Evidence1Sources1

Named AI services

East China Normal University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.

AllowedMachine candidateConfidence78%Evidence1Sources1

Teaching guidance

East China Normal University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence76%Evidence1Sources1

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

5 reviewed evidence-backed public claim

Ai Tool Treatment

ECNU's published Communication College student AIGC guide says students may use AIGC in accordance with academic integrity, but direct AIGC-generated content should be separated, marked, and kept within 20% of the full text.

Review: Agent reviewedConfidence92%

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

The ECNU-published student AIGC guide states that students should self-check AIGC-generated content for disputed issues including accuracy, intellectual property, and data privacy, and remain responsible for submitted work.

Review: Agent reviewedConfidence90%

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

ECNU's graduate academic morality regulation applies to degree-seeking graduate students and requires them to follow academic norms, cite sources, and avoid fabrication, plagiarism, and other academic misconduct.

Review: Agent reviewedConfidence90%

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

The ECNU-published student AIGC guide says teachers may permit or not permit AIGC tools according to course nature, and students should follow course requirements.

Review: Agent reviewedConfidence89%

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

The located ECNU AIGC guidance is not staged as a university-wide binding AI policy because the source says the guide currently applies to students in the two universities' communication/journalism colleges.

Review: Agent reviewedConfidence86%

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.

Candidate claims

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.

Official sources

2 source attribution

华东师范大学与北京师范大学联合发布《生成式人工智能学生使用指南》

ecnu.edu.cn

Snapshot hash
66ff31f9f9f7f48278b2e8bd227a1ed86deebdb6eea92071e5f90a9584b0d117

Change log

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.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

Corrections and missing 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.

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