Xi'an, China (Mainland)

Xi’an Jiaotong University

Xi’an Jiaotong University is listed as QS 2026 rank 305. Xi’an Jiaotong University has 3 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

Xi’an Jiaotong University is listed as QS 2026 rank 305. Xi’an Jiaotong University has 3 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 Xi’an Jiaotong University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 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/xian-jiaotong-university.json. The entity-level confidence is 92%. 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.

Claim coverage3 reviewedSource languagezh-CNPublic JSON/api/public/v1/universities/xian-jiaotong-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes Teaching claims.
  • Named AI services detected in public claims: ChatGPT.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims3Reviewed3Candidate0Official sources3

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.

Coverage score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence75%

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

Research guidance

Xi’an Jiaotong University has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence74%Evidence1Sources1

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

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

Academic Integrity

Xi'an Jiaotong University's Graduate School academic conduct regulation states that registered graduate students should observe academic ethics and norms, independently complete degree theses under supervisor guidance, and must avoid academic falsification including fabrication, plagiarism, buying or selling theses, and ghostwriting.

Review: Agent reviewedConfidence92%

Normalized value: graduate_academic_conduct_regulation

Original evidence

Evidence 1
第五条 研究生应遵守社会公德,恪守学术道德和学术规范,在指导教师指导下独立完成学位论文。 第六条 研究生必须坚决杜绝下列学术作假行为: (一)弄虚作假。捏造、伪造、篡改实验或调研数据、引用资料或其它研究成果等。 (二)抄袭和剽窃。将他人的作品或作品的片段窃为己有;照抄或变相照抄别人已发表或未发表的成果;

Localized display only

The regulation says graduate students should uphold academic ethics and independently complete theses, and must avoid falsification and plagiarism.

Teaching

Xi'an Jiaotong University's Teacher Teaching Development Center listed an October 2024 workshop on large language models and intelligent learning, with content points including ChatGPT use in research, office work, and teaching, domestic AI models, vertical-domain AI, GPT risk warnings, and strategies for responding to student assignments.

Review: Agent reviewedConfidence87%

Normalized value: official_chatgpt_workshop_notice

Original evidence

Evidence 1
内容要点:一、驾驭数字浪潮:教师数字素养与智能教学的融合 二、开启AI之门:ChatGPT在科研、办公与教学中的应用 三、国产AI的崛起:百模大战时代 四、能力与创意:更专更强的垂直领域AI 五、GPT的风险警示与学生作业应对策略

Localized display only

The workshop points included ChatGPT applications in research, office work, and teaching, plus GPT risk warnings and strategies for student assignments.

Teaching

Xi'an Jiaotong University's Teacher Teaching Development Center listed a December 2023 teaching seminar on generative AI and ChatGPT effects on university educational testing and assessment; the notice framed the content as discussion of learning, innovation, global generative AI policies, education quality, academic integrity, current assessment practices, and future trends.

Review: Agent reviewedConfidence86%

Normalized value: official_teaching_seminar_notice

Original evidence

Evidence 1
主要内容 1.生成式AI及ChatGPT概述,展示学生如何利用这些技术进行学习和创新 2.全球领先研究型大学的生成式AI政策,分析部分顶尖研究型大学关于生成式AI的最新政策,探讨其对教育质量和学术诚信的潜在影响 3.西交利物浦大学语言学院的应对探讨,在测试和评估方面的现行做法

Localized display only

The seminar content covered generative AI and ChatGPT, student learning and innovation, global generative AI policies, and possible impacts on educational quality and academic integrity.

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

教师教学发展中心教学工作坊(总第225场)——教学新势力:ChatGPT引领智能学习时代

ctld.xjtu.edu.cn

Snapshot hash
18ccfe498640c6d2934db5fe04f6add5e688044e8b5b6f6c323f0c581b3273d0

教师教学发展中心教学研讨会(总第200场)——生成式AI及ChatGPT对于大学教育测试评估的影响

ctld.xjtu.edu.cn

Snapshot hash
5b3e6391388235a314fefab6271682745e5ba12934f26339d6eadc5ee7671072

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.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

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.

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