Policy presence
East China University of Science and Technology has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Shanghai, China (Mainland)
East China University of Science and Technology
East China University of Science and Technology has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 18, 2026.
East China University of Science and Technology AI policy short answer
v1 public contract
East China University of Science and Technology has 3 source-backed AI policy claims from 2 official source attributions, including 3 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 18, 2026. Discovery context: East China University of Science and Technology is listed as QS 2026 rank =673.
Citation-ready summary
As of this public record, University AI Policy Tracker lists East China University of Science and Technology as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 3 source-backed claims, including 3 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-university-of-science-and-technology.json. The entity-level confidence is 86%. 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 Teaching claims.
- Named AI services detected in public claims: ChatGPT, DeepSeek.
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
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.
Coursework
East China University of Science and Technology has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
East China University of Science and Technology has 3 source-backed public claims for exams; deterministic analysis status: restricted.
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
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
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.
Named AI services
East China University of Science and Technology has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Teaching guidance
East China University of Science and Technology has 3 source-backed public claims 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
3 reviewed evidence-backed public claim
Teaching
East China University of Science and Technology reported launching an artificial-intelligence faculty training activity on March 21, 2024, with more than 200 teachers from 21 units attending.
Review: Agent reviewed
Normalized value: official-news-ai-faculty-training
Original evidence
Evidence 1为进一步深化教育数字化内涵发展，3月21日，我校人工智能培训启动会在商学院406室举行，副校长王慧锋出席会议并讲话。信息化办公室主任王喆、副主任房一泉以及全校21个单位的200余名教师参加启动会。
Localized display only
The university said an AI training launch meeting was held on March 21, with more than 200 teachers from 21 units attending.
Teaching
East China University of Science and Technology stated that it planned in 2024 to fund a group of high-quality 'AI+' graduate courses.
Review: Agent reviewed
Normalized value: planned-ai-plus-graduate-courses-2024
Original evidence
Evidence 1据悉，学校计划2024年资助建设一批高质量“人工智能+”研究生课程，持续创新教学场景，稳步推进教育数智化进程，为培养符合国家急切需求的高层次人才贡献华理智慧和力量。
Localized display only
The university said it planned in 2024 to fund a group of high-quality 'AI+' graduate courses.
Teaching
The ECUST School of Information Science and Engineering reported a May 2025 teaching seminar that covered classroom applications of ChatGPT, Kimi and DeepSeek for generative-AI-driven teaching reform.
Review: Agent reviewed
Normalized value: school-level-ai-tools-classroom-seminar
Original evidence
Evidence 1陈建钧教授围绕“人工智能工具落地课堂：生成式AI驱动教学改革的探索”主题，详细讲解了ChatGPT、Kimi、DeepSeek等AI工具在教学中的应用方法，通过生动的案例展示了利用生成式AI技术优化课程设计、提升课堂互动效果、智慧题库生成等方面的教学效果。
Localized display only
The seminar covered classroom use of ChatGPT, Kimi and DeepSeek to optimize course design, classroom interaction and question-bank generation.
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
“AI赋教·创育未来” 专题报告第一期 ——探索AI赋能教学新途径
cise.ecust.edu.cn
我校启动人工智能师资培训，积极推进教育数智化建设
ecust.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.