Guangzhou, China (Mainland)

South China University of Technology

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources4Source languagezh, zh-CNPublic JSON/api/public/v1/universities/south-china-university-of-technology.json

Policy profile

Coverage score70/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence81%

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

Research guidance

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

RecommendedMachine candidateConfidence81%Evidence1Sources1

AI tools

Derived tool records1

DeepSeek-R1 (671B)

South China University of Technology

Tool
DeepSeek-R1 (671B)
About
South China University of Technology locally deploys the full DeepSeek-R1 671B model on its Chengwu scientific-computing platform for university users.
Access
Sign in through the university unified-authentication system.
Cost
Not specified.
Availability
Allowed
Review
Agent reviewed
Sources

Evidence-backed claims

6 reviewed evidence-backed public claim

Ai Tool Treatment

DeepSeek-R1 (671B) is listed for South China University of Technology in an official university AI tools source. Derived availability: allowed. Derived endorsement type: self hosted system.

Review: Agent reviewedConfidence97%

Normalized value: {"tool":"deepseek","rawToolName":"DeepSeek-R1 (671B)","description":"South China University of Technology locally deploys the full DeepSeek-R1 671B model on its Chengwu scientific-computing platform for university users.","howToObtain":"Sign in through the university unified-authentication system.","costToUser":"Not specified.","availability":"allowed","endorsementType":"self_hosted_system"}

Oorspronkelijk bewijs

Evidence 1
华南理工大学基于学校“成务”科学计算平台,开展DeepSeek-R1(671B)大模型的本地化部署。该模型满足本校师生的使用需求,并与学校统一认证系统对接;所有华南理工在校师生用户问答数据仅为本地存储,不用于任何模型优化或第三方共享。

Gelokaliseerde weergave only

华南理工大学基于学校“成务”科学计算平台,开展DeepSeek-R1(671B)大模型的本地化部署。该模型满足本校师生的使用需求,并与学校统一认证系统对接;所有华南理工在校师生用户问答数据仅为本地存储,不用于任何模型优化或第三方共享。

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 reviewedConfidence96%

Normalized value: student_academic_misconduct_measures_scope

Oorspronkelijk bewijs

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。

Gelokaliseerde weergave 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 reviewedConfidence95%

Normalized value: student_academic_misconduct_examples

Oorspronkelijk bewijs

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;

Gelokaliseerde weergave 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 reviewedConfidence94%

Normalized value: graduate_ai_general_practice_course_trial_2025_scope

Oorspronkelijk bewijs

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。

Gelokaliseerde weergave 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 reviewedConfidence93%

Normalized value: undergraduate_ai_enabled_teaching_pilot_scenarios

Oorspronkelijk bewijs

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。

Gelokaliseerde weergave 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 reviewedConfidence92%

Normalized value: undergraduate_ai_enabled_teaching_pilot_support

Oorspronkelijk bewijs

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。

Gelokaliseerde weergave 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

Official sources

4 source attribution

Change log

Last checkedJul 16, 2026Last changedJul 16, 2026Open change log

Corrections

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