Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Beijing, China (Mainland)
Beijing Normal University
Beijing Normal University is listed as QS 2026 rank =247. Beijing Normal University has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Beijing Normal University is listed as QS 2026 rank =247. Beijing Normal University has 4 source-backed AI policy claim records from 1 official source attribution. 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 Beijing 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 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/beijing-normal-university.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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
Beijing Normal University has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
Beijing Normal University has 4 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
Beijing Normal University has 4 source-backed public claims for exams; deterministic analysis status: blocked.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
Beijing Normal University has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Beijing Normal University has 1 source-backed public claim for approved tools; deterministic analysis status: required.
Named AI services
Beijing Normal University has 1 source-backed public claim for named ai services; deterministic analysis status: required.
Teaching guidance
Beijing Normal University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
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
4 reviewed evidence-backed public claim
Ai Tool Treatment
For undergraduate theses and designs, Beijing Normal University says use of generative artificial intelligence tools must be clearly and prominently marked or declared.
Review: Agent reviewed
Normalized value: generative AI tool use must be marked or declared in undergraduate thesis/design work
Original evidence
Evidence 1毕业论文（设计）生成式人工智能工具使用须进行清晰、显著的标注或声明。
Localized display only
Use of generative AI tools in the thesis/design must be clearly and prominently marked or declared.
Academic Integrity
In the undergraduate thesis and design process, Beijing Normal University prohibits using artificial intelligence to commit ghostwriting, plagiarism, fabrication, and similar academic misconduct.
Review: Agent reviewed
Normalized value: AI-enabled ghostwriting, plagiarism, and fabrication prohibited for undergraduate thesis work
Original evidence
Evidence 1在形成毕业论文（设计）过程中，严禁使用人工智能实施代写、剽窃、伪造等学术不端行为。
Localized display only
During thesis/design preparation, using AI for ghostwriting, plagiarism, fabrication, and similar academic misconduct is strictly prohibited.
Academic Integrity
Beijing Normal University states that AIGC detection results for 2026 undergraduate theses and designs are probabilistic and serve only as an auxiliary reference for academic norms, not as the basis for judging thesis originality.
Review: Agent reviewed
Normalized value: AIGC detection is auxiliary reference, not originality determination basis
Original evidence
Evidence 1AIGC 检测结果是基于算法模型的概率性分析，存在技术局限性，仅作为学术规范性辅助参考，不作为论文原创性判定依据。
Localized display only
AIGC detection results are probabilistic, technically limited, and only an auxiliary academic-norm reference, not the basis for originality judgment.
Academic Integrity
For 2026 undergraduate theses and designs, Beijing Normal University says it will conduct comprehensive plagiarism detection and AIGC detection through the undergraduate thesis module of its teaching administration service platform.
Review: Agent reviewed
Normalized value: 2026 undergraduate thesis plagiarism and AIGC detection
Original evidence
Evidence 1“本科生毕业论文（设计）”模块对 2026 届本科生毕业论文（设计）进行全面查重检测和 AIGC（人工智能生成内容）检测。
Localized display only
The undergraduate thesis module will conduct comprehensive plagiarism detection and AIGC detection for 2026 undergraduate theses/designs.
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
1 source attribution
北京师范大学教务部文件 师教培养〔2026〕11号
jwb.bnu.edu.cn
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.
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.