Policy presence
South China University of Technology has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Guangzhou, China (Mainland)
South China University of Technology
South China University of Technology is listed as QS 2026 rank 377. South China University of Technology has 5 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
South China University of Technology is listed as QS 2026 rank 377. South China University of Technology has 5 source-backed AI policy claim records from 3 official source attributions. 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 South China University of Technology as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/south-china-university-of-technology.json. The entity-level confidence is 96%. 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 Academic integrity claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- Teaching, assessment, coursework, or syllabus-related language appears in the 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
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
South China University of Technology has 4 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
South China University of Technology has 5 source-backed public claims for exams; deterministic analysis status: recommended.
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
South China University of Technology has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
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
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.
Teaching guidance
South China University of Technology has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
South China University of Technology has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
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
5 reviewed evidence-backed public claim
Academic Integrity
South China University of Technology's student academic misconduct handling measures apply to undergraduate and graduate students receiving ordinary higher education at the university.
Review: Agent reviewed
Normalized value: student_academic_misconduct_measures_scope
Original evidence
Evidence 1第二条本办法适用于在我校接受普通高等学历教育的本科生和研究生。对接受高等学历继续教育的学生、港澳台侨学生、留学生等的处理参照本办法执行。
Localized display only
Article 2 says the measures apply to SCUT undergraduate and graduate students receiving ordinary higher education.
Academic Integrity
SCUT's student academic misconduct measures list plagiarism, copying, misappropriation of academic results, tampering with research results, and falsifying data or materials as examples of academic misconduct.
Review: Agent reviewed
Normalized value: student_academic_misconduct_examples
Original evidence
Evidence 1第四条本办法所称学术不端行为是指在科学研究及相关活动中发生的违反公认的学术准则、违背学术诚信等行为。主要表现为：（一）剽窃、抄袭、侵占他人学术研究成果；（二）篡改他人研究成果；（三）伪造原始实验数据、调查数据或软件计算结果，隐瞒不利数据进而伪造研究结果；伪造资料、文献、注释，或者捏造事实、编造虚假研究成果；
Localized display only
Article 4 defines academic misconduct and lists plagiarism/copying, tampering with research results, and falsifying data or materials.
Teaching
SCUT Graduate School announced a trial AI general and practice online course for all 2025 graduate students, including part-time graduate students and international students.
Review: Agent reviewed
Normalized value: graduate_ai_general_practice_course_trial_2025_scope
Original evidence
Evidence 1经研究，学校决定试用人工智能通识与实践在线课程。本课程试用范围为全校2025级研究生（含非全日制研究生、留学生），具体身份绑定、学习方式及操作指引见附件。
Localized display only
The Graduate School notice says SCUT decided to trial an AI general/practice online course for all 2025 graduate students, including part-time and international students.
Teaching
SCUT's 2025 AI-enabled undergraduate teaching pilot call identified course agents, knowledge graphs, 24-hour intelligent learning companions, AI teaching assistants, intelligent grading, resource search, classroom assistants, preparation support, teaching management, digital humans, and internationalization as possible construction scenarios.
Review: Agent reviewed
Normalized value: undergraduate_ai_enabled_teaching_pilot_scenarios
Original evidence
Evidence 1课程建设内容可从以下方面进行选择：知识碎片库、课程引擎、课程智能体、知识图谱、24H智能学伴（AI助教）、智能批改、题库建设、资源检索、课堂授课助手、备课辅助、教学管理、数字人与国际化等应用场景。
Localized display only
The undergraduate pilot notice lists possible AI-enabled teaching scenarios including course agents, knowledge graphs, AI teaching assistants, intelligent grading, resource search, and classroom/preparation support.
Teaching
The SCUT undergraduate AI-enabled teaching pilot notice says the university would support pilot-course teams with AI technical guidance, teacher training and exchange activities, funding, production fees paid by the university, and priority teaching-assistant allocation during pilot delivery.
Review: Agent reviewed
Normalized value: undergraduate_ai_enabled_teaching_pilot_support
Original evidence
Evidence 1为推动开展AI赋能本科教学试点课程建设工作，学校将根据需要提供以下支持：1.鼓励支持授课团队应用以大语言模型为代表的AI技术，学校将提供必要的技术指导与支持。2.定期举办AI赋能教育教学相关教师培训、交流活动，为试点课程教师提供相关资讯、分享试点课程经验。3.对立项建设的试点课程，学校给予建设经费支持。每门课程建设启动费2万元，根据所选择的建设内容及工作量，后续再进行追加配套。课程制作费用由学校统一支付。4.试点课程开课期间优先配备助教。
Localized display only
The notice lists support for pilot courses, including AI technical guidance, teacher training/exchanges, construction funding, university-paid production fees, and priority teaching assistants.
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
3 source attribution
关于印发《华南理工大学学生学术不端行为处理办法（试行）》的通知
xxgk.scut.edu.cn
关于开展2025年人工智能赋能本科教学试点课程申报的通知
www2.scut.edu.cn
关于试用人工智能通识与实践在线课程的通知
www2.scut.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.