Kuala Terengganu, Malaysia

Universiti Malaysia Terengganu (UMT)

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources2Source languageen, msPublic JSON/api/public/v1/universities/universiti-malaysia-terengganu-umt.json

Policy profile

Coverage score55/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence68%

Policy presence

Universiti Malaysia Terengganu (UMT) has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence66%Evidence1Sources1

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

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

Universiti Malaysia Terengganu (UMT) has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence66%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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 reviewedConfidence86%

Normalized value: basic_ai_course_core_all_students_from_october_2025

Original evidence

Evidence 1
In 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 reviewedConfidence82%

Normalized value: academic_ai_training_ethics_integrity_negative_impacts

Original evidence

Evidence 1
PNP-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 reviewedConfidence80%

Normalized value: chatgpt_student_assessment_training

Original evidence

Evidence 1
PNP-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 reviewedConfidence78%

Normalized value: ai_adoption_ethics_responsible_guidelines_prevent_misuse

Original evidence

Evidence 1
I 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

Official sources

2 source attribution

Home | Island

island.umt.edu.my

Snapshot hash
6285d83f8f4eaa22a2080c5d7cc05a5ca97e67ee8d73c594c533efac744dc7fa

Change log

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

Corrections

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