Policy presence
Universiti Tun Hussein Onn Malaysia (UTHM) has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Batu Pahat, Malaysia
Universiti Tun Hussein Onn Malaysia (UTHM)
Universiti Tun Hussein Onn Malaysia (UTHM) has 3 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 3 reviewed claims. Last checked May 23, 2026.
Universiti Tun Hussein Onn Malaysia (UTHM) AI policy short answer
v1 public contract
Universiti Tun Hussein Onn Malaysia (UTHM) 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 23, 2026. Discovery context: Universiti Tun Hussein Onn Malaysia (UTHM) is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universiti Tun Hussein Onn Malaysia (UTHM) as an agent-reviewed AI policy record last checked on May 23, 2026 and last changed on May 23, 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/universiti-tun-hussein-onn-malaysia-uthm.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.
Policy signals in this record
- Evidence includes Teaching claims.
- Evidence includes Academic integrity 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
Universiti Tun Hussein Onn Malaysia (UTHM) has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Universiti Tun Hussein Onn Malaysia (UTHM) has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
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
Universiti Tun Hussein Onn Malaysia (UTHM) has 2 source-backed public claims for academic integrity; deterministic analysis status: recommended.
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
Universiti Tun Hussein Onn Malaysia (UTHM) has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Universiti Tun Hussein Onn Malaysia (UTHM) 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
3 reviewed evidence-backed public claim
Teaching
UTHM's Digital Teaching and Learning Policy permits the use of generative artificial intelligence in teaching and learning processes, including learning content, activity implementation, and assessment, subject to suitability, assessment effectiveness, compliance with applicable guidelines, laws and regulations, and good principles, values, and ethics in the course field.
Review: Agent reviewed
Normalized value: generative_ai_permitted_in_teaching_learning_with_conditions
Evidence originale
Evidence 16.3 Kecerdasan Buatan Generatif (KBG): UTHM membenarkan penggunaan KBG dalam proses PdP yang merangkumi kandungan pembelajaran, pelaksanaan aktiviti, dan pentaksiran... penggunaan dan pemilihan aplikasi/teknologi KBG hendaklah dibuat berdasarkan kesesuaian penggunaannya... pematuhan kepada garis panduan, undang-undang dan peraturan tersedia.
Affichage localise only
UTHM permits generative AI in teaching and learning processes, including content, activities, and assessment, subject to suitability and compliance with applicable guidance, law, and rules.
Academic Integrity
UTHM's plagiarism prevention regulations apply to students, former students, staff, former staff, and relevant current or former university community members, and define plagiarism to include submitting or publishing all or part of work generated by generative artificial intelligence as one's own work.
Review: Agent reviewed
Normalized value: ai_generated_work_as_own_work_included_in_plagiarism_definition
Evidence originale
Evidence 12.1 Peraturan ini terpakai kepada semua pelajar, bekas pelajar, staf dan bekas staf... Perbuatan plagiarisme termasuk... (c) menghantar dan menerbitkan keseluruhan atau sebahagian karya orang lain atau karya hasil daripada teknologi kecerdasan buatan generatif (KBG) sebagai karya sendiri.
Affichage localise only
The regulations apply to students, former students, staff and former staff, and include submitting or publishing work generated by generative AI as one's own within the plagiarism definition.
Academic Integrity
UTHM's Digital Teaching and Learning Policy says assessment should be designed to be contextual, fair, transparent, and personalized while taking into account the risk of generative AI misuse in written assignments, and that continuous assessment involving presentations, question-and-answer, and viva voce should be prioritized to assess students' actual mastery.
Review: Agent reviewed
Normalized value: assessment_design_should_account_for_generative_ai_misuse
Evidence originale
Evidence 16.6 Penilaian dan pentaksiran perlu direka secara kontekstual, adil, telus, dan bersifat peribadi, dengan mengambil kira risiko penyalahgunaan KBG dalam tugasan bertulis. Penilaian berterusan yang melibatkan pembentangan, soal jawab, dan viva voce harus diutamakan untuk menilai penguasaan sebenar pelajar.
Affichage localise only
Assessment should be contextual, fair, transparent, and personalized, account for generative AI misuse risk in written assignments, and prioritize continuous assessment using presentations, Q&A, and viva voce.
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
Dasar Pengajaran dan Pembelajaran Digital Universiti Tun Hussein Onn Malaysia
maya.uthm.edu.my
Peraturan Pencegahan Plagiarisme Universiti Tun Hussein Onn Malaysia
puu.uthm.edu.my
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.