Xuzhou, China (Mainland)

China University of Mining and Technology

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage2 reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2Source languagezh-CNPublic JSON/api/public/v1/universities/china-university-of-mining-and-technology.json

Policy profile

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence71%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

China University of Mining and Technology has 1 source-backed public claim for academic integrity; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence71%Evidence1Sources1

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Teaching guidance

China University of Mining and Technology has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

Evidence-backed claims

2 reviewed evidence-backed public claim

Academic Integrity

China University of Mining and Technology Library's 2025 spring lecture program included an AI literacy session focused on AI tool norms and academic integrity, including AI ghostwriting, fabricated literature, plagiarism-detection signals, compliant use for literature review and idea organization, and boundaries for academic innovation.

Review: Agent reviewedConfidence84%

Normalized value: official_library_training_on_ai_tool_norms_and_academic_integrity

Original evidence

Evidence 1
聚焦 AI 工具规范与学术诚信 本讲座直击 AI 代写、文献伪造等灰色地带,拆解查重机制如何识别 AI 痕迹,演示合规使用工具辅助文献综述、思路整理的正确姿势,探讨学术创新的底线与 AI 工具边界,在效率与诚信间找到智慧平衡点!

Localized display only

The library lecture focuses on AI tool norms and academic integrity, including AI ghostwriting, fabricated references, AI-detection traces, compliant support for literature reviews and idea organization, and boundaries for academic innovation.

Teaching

An official China University of Mining and Technology news article says the 2024 undergraduate training plan explores an "intelligent +" professional training model, includes a required computing thinking and artificial intelligence foundation course, and supports digital teaching resources such as knowledge-graph-based AI courses and a smart education platform.

Review: Agent reviewedConfidence82%

Normalized value: official_news_describes_ai_related_undergraduate_curriculum_and_teaching_resources

Original evidence

Evidence 1
探索“智能+”专业培养模式改革,开设计算思维与人工智能基础必修课、人工智能与专业深度融合的前沿拓展课。进一步推进微专业建设,探索双学士学位和跨学科跨专业本研贯通式人才培养。

Localized display only

The article describes exploring an "intelligent +" professional training model, offering a required computing thinking and AI foundation course, and adding frontier courses that integrate AI with majors.

Candidate claims

0 machine or needs-review claim

Official sources

2 source attribution

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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