research
For 2026 NSFC applications submitted through USTC, the university notice prohibits using an application directly generated by generative AI and prohibits using unverified generated content.
Review: Agent reviewed
Change log
中国科学技术大学
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
Change summary
Current public record freshness and review state.
中国科学技术大学 currently has 5 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 14, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for 中国科学技术大学. Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
This tracker 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.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Diff categories
Semantic classification for this release diff.
Combined release diff
Unified tracker diff generated from all public release snapshots for this university.
中国科学技术大学 combined release diff
Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.
+10-0
11 # University of Science and Technology of China AI policy record
2+research: For 2026 NSFC applications submitted through USTC, the university notice prohibits using an application directly generated by generative AI and prohibits using unverified generated content.
3+Evidence (zh-CN, 34b364e2ac3c): 不得使用由生成式人工智能直接生成的申请书，不得使用未经核实的生成内容。
4+research: For 2026 NSFC applications submitted through USTC, the university notice says applicants who use generative AI to track research trends or collect and organize references must manually verify the truth and accuracy of generated information and references, take responsibility for generated content, and fully and truthfully declare AI use.
5+Evidence (zh-CN, 34b364e2ac3c): 申请人在撰写申请书时，如果借助生成式人工智能技术跟踪研究动态、收集整理参考文献，必须由人工核实生成式人工智能生成信息和参考文献的真实性和准确性。申请人应当对使用的生成内容负责，应当全面如实声明使用情况，按照《人工智能生成合成内容标识办法》《负责任研究行为规范指引（2023）》等国家有关规定对相关内容进行标识。
6+teaching: For smart-course projects under USTC's 2026 undergraduate teaching-project guide, completion standards include at least two online teaching cycles and mandatory AI learning or teaching support plus knowledge-graph functions, with two additional optional digital or AI functions.
7+Evidence (zh-CN, d7d8c8f857f5): 建设期内，课程至少基于线上课程平台开设2个教学周期，实现“必选功能2项+自选功能2项”： ①必选功能包括：AI助学或助教、知识图谱。②自选功能包括：数字教材、数字人、智能批改、智能备课、智能翻译、AI教学管理、能力图谱、素质图谱等。
8+teaching: USTC's 2026 undergraduate teaching-project guide encourages new-course projects to integrate AI technologies with core professional competencies and to include AI application techniques, cases, and practical training in lectures and practice teaching.
9+Evidence (zh-CN, d7d8c8f857f5): 4.鼓励将人工智能技术与专业核心能力培养紧密结合，支持在课程讲授与实践教学中系统融入 AI应用技术、典型案例与实操训练，推动人工智能赋能专业教学改革，提升课程高阶性、创新性与挑战度。
10+teaching: USTC's 2026 undergraduate teaching-project guide says AI plus virtual-simulation experiment teaching-course projects must have an AI technical specialist and implement at least two AI-enabled functions from the listed categories.
11+Evidence (zh-CN, d7d8c8f857f5): 课程负责人须为本校专职教师，应主讲本实验课程2轮次以上；课程建设团队应结构合理、分工明确、素质优良，团队成员不超过5人（含课程负责人），且要有专门负责AI方面技术专家。以AI技术实现的功能包括但不限于以下内容，项目至少要实现2项功能：智能助学、学情画像、个性化任务生成、知识图谱构建、能力图谱生成。
Release history
0 public release diffs
Claim changes
5 claim records
research
For 2026 NSFC applications submitted through USTC, the university notice says applicants who use generative AI to track research trends or collect and organize references must manually verify the truth and accuracy of generated information and references, take responsibility for generated content, and fully and truthfully declare AI use.
Review: Agent reviewed
teaching
For smart-course projects under USTC's 2026 undergraduate teaching-project guide, completion standards include at least two online teaching cycles and mandatory AI learning or teaching support plus knowledge-graph functions, with two additional optional digital or AI functions.
Review: Agent reviewed
teaching
USTC's 2026 undergraduate teaching-project guide encourages new-course projects to integrate AI technologies with core professional competencies and to include AI application techniques, cases, and practical training in lectures and practice teaching.
Review: Agent reviewed
teaching
USTC's 2026 undergraduate teaching-project guide says AI plus virtual-simulation experiment teaching-course projects must have an AI technical specialist and implement at least two AI-enabled functions from the listed categories.
Review: Agent reviewed
Source snapshots
2 source attributions
2026 年度本科教学工程项目申报指南
official_pdf Tracker checked at May 14, 2026, 2:09 PM
2026年度国家自然科学基金项目集中受理申请通知
official_guidance Tracker checked at May 14, 2026, 2:13 PM