Beijing, China (Mainland)

Beijing Normal University

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Reviewed record

已审核主张

4 reviewed claims

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.

审核: 智能体已审核置信度94%

标准化值: generative AI tool use must be marked or declared in undergraduate thesis/design work

原始证据

证据 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。

本地化显示 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.

审核: 智能体已审核置信度93%

标准化值: AI-enabled ghostwriting, plagiarism, and fabrication prohibited for undergraduate thesis work

原始证据

证据 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。

本地化显示 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.

审核: 智能体已审核置信度93%

标准化值: AIGC detection is auxiliary reference, not originality determination basis

原始证据

证据 1
AIGC 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。

本地化显示 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.

审核: 智能体已审核置信度92%

标准化值: 2026 undergraduate thesis plagiarism and AIGC detection

原始证据

证据 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。

本地化显示 only

The undergraduate thesis module will conduct comprehensive plagiarism detection and AIGC detection for 2026 undergraduate theses/designs.

Source record

官方来源

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Record information, JSON & citation
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Citation: University AI Policy Tracker. "Beijing Normal University AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/beijing-normal-university

Original university source language remains canonical. This tracker is not an official university statement.

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