Policy presence
Universiti Malaysia Terengganu (UMT) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Kuala Terengganu, Malaysia
Universiti Malaysia Terengganu (UMT)
Universiti Malaysia Terengganu (UMT) has 4 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
Universiti Malaysia Terengganu (UMT) AI policy short answer
v1 public contract
Universiti Malaysia Terengganu (UMT) has 4 source-backed AI policy claims from 2 official source attributions, including 4 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 20, 2026. Discovery context: Universiti Malaysia Terengganu (UMT) is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Universiti Malaysia Terengganu (UMT) as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 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-malaysia-terengganu-umt.json. The entity-level confidence is 86%. 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 AI tool treatment claims.
- Named AI services detected in public claims: ChatGPT.
- 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 Malaysia Terengganu (UMT) has 4 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
Universiti Malaysia Terengganu (UMT) has 4 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
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
Universiti Malaysia Terengganu (UMT) has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Universiti Malaysia Terengganu (UMT) has 2 source-backed public claims for named ai services; deterministic analysis status: recommended.
Teaching guidance
Universiti Malaysia Terengganu (UMT) has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
4 reviewed evidence-backed public claim
Teaching
UMT announced that, beginning October 2025, its Basic AI Course would become a core university course for all students.
Review: Agent reviewed
Normalized value: basic_ai_course_core_all_students_from_october_2025
Original evidence
Evidence 1In line with the digital era, UMT continues to advance technologically by integrating artificial intelligence (AI) into teaching and learning. Beginning October 2025, the Basic AI Course will be made a core university course for all students.
Localized display only
UMT says it is integrating AI into teaching and learning and that the Basic AI Course will become a core university course for all students beginning October 2025.
Teaching
UMT's public training platform listed an academic AI-in-education course that guides lecturers on ethics and integrity considerations when addressing negative impacts of AI in education.
Review: Agent reviewed
Normalized value: academic_ai_training_ethics_integrity_negative_impacts
Original evidence
Evidence 1PNP-18 TEKNOLOGI KECERDASAN BUATAN (AI) DALAM PENDIDIKAN. Memberikan panduan kepada pensyarah tentang pertimbangan khusus dalam menangani impak negatif penggunaan AI dalam pendidikan termasuk aspek etika dan integriti.
Localized display only
PNP-18 AI in Education includes guidance for lecturers on special considerations for negative impacts of AI in education, including ethics and integrity.
Teaching
UMT's public training platform listed a ChatGPT student assessment course with learning outcomes covering question design, assessment creation, and using ChatGPT to generate questions and assessments.
Review: Agent reviewed
Normalized value: chatgpt_student_assessment_training
Original evidence
Evidence 1PNP-17 CHATGPT IN STUDENT ASSESSMENT. Learning Outcomes: Apply the key principles of effective question design and assessment creation; Learn how to use ChatGPT to generate high-quality questions and assessments.
Localized display only
PNP-17 ChatGPT in Student Assessment lists learning outcomes on question design, assessment creation, and using ChatGPT to generate questions and assessments.
Ai Tool Treatment
UMT's Vice-Chancellor framed AI adoption as needing clear ethical principles and responsible guidelines to prevent misuse.
Review: Agent reviewed
Normalized value: ai_adoption_ethics_responsible_guidelines_prevent_misuse
Original evidence
Evidence 1I wish to remind graduates that the adoption of AI must be grounded in clear ethical principles and responsible guidelines to prevent misuse.
Localized display only
The Vice-Chancellor said AI adoption should be grounded in clear ethical principles and responsible guidelines to prevent misuse.
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
Home | Island
island.umt.edu.my
UMT Honours 2,539 Knowledgeable, Globally Competitive Graduates
umt.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.