Do
- Check suitability, evaluation and the actual course’s ethics requirements.
- Be ready to demonstrate your actual understanding.
- Protect teaching-material rights and personal information.
Batu Pahat, Malaysia
Universiti Tun Hussein Onn Malaysia (UTHM)
Student guide · Task rules and procedure
Use AI in line with learning goals and course ethics.
The original Malay 2025 digital-teaching policy permits contextual GenAI learning under suitability, evaluation, law and ethics conditions. Presentations/questions/viva assess understanding; they are not misconduct hearings. Full current plagiarism procedure, appeal clocks and named student AI accounts remain gaps.
A complete student policy summary is not available yet; see the collected claims and sources.
Scope and transition details
The original Malay 2025 digital-teaching policy permits contextual GenAI learning under suitability, evaluation, law and ethics conditions. Presentations/questions/viva assess understanding; they are not misconduct hearings. Full current plagiarism procedure, appeal clocks and named student AI accounts remain gaps.
Don't
- Do not read the teaching framework as permission for every assignment.
- Do not confuse pedagogical viva with a misconduct hearing.
- Do not infer an institution-issued AI account from general security guidance.
What happens if AI use raises a concern?
Supplement collected: 2026-10-08 · Current applicability not independently confirmed
When a concern arises
Site interpretation
UTHM’s 2025 Digital Teaching and Learning Policy permits generative AI in learning content, activities and assessment, subject to suitability, effective evaluation, existing rules/law and course ethics. This institutional digital-teaching framework does not name a blanket student licence for every assignment.
Scope: students · Original Malay text; institutional teaching/learning framework, not a course-specific blanket GenAI authorization.
View original text and conditions
Scope: students · university
6.3 Kecerdasan Buatan Generatif (KBG): UTHM membenarkan penggunaan KBG dalam
proses PdP yang merangkumi kandungan pembelajaran, pelaksanaan aktiviti, dan
pentaksiran. Penggunaan KBG dilihat mampu untuk mempertingkatkan pengalaman
pembelajaran peribadi (personal learning environment), efektif, inklusif, serta
menyokong keperluan pelajar yang pelbagai. Bagaimanapun, penggunaan dan
pemilihan aplikasi/teknologi KBG hendaklah dibuat berdasarkan kesesuaian
penggunaannya dalam sesuatu proses PdP, keberkesanan kaedah penilaian,
pematuhan kepada garis panduan, undang-undang dan peraturan tersedia, serta
sejajar dengan prinsip, nilai dan etika yang baik dalam sesuatu bidang kursus.View official source ↗Collected: 2026-10-08 · 494–502
SHA-256: 28bf6fd53c33c11e8bbe7f4d4b4b800ebb5d4847c100345182106d78b4ba59ec
Support & adjustments
Site interpretation
The policy encourages active GenAI learning and prioritises contextual, fair and transparent assessment using presentations, questions and viva voce to assess actual understanding. This is pedagogical assessment design, not a misconduct hearing or detector-verdict rule.
Scope: students · Scope is limited to the cited official source and stated conditions; this is a local candidate, not a complete university rule set.
View original text and conditions
Scope: students · university
6.4 Penambahbaikan aktiviti dan kaedah pengajaran perlu memberi peluang kepada
pelajar menggunakan KBG secara aktif melalui tugasan penyelesaian masalah dunia
sebenar, demonstrasi, pembentangan, perbahasan, dan bengkel kolaboratif. Selain itu,
8
penggunaan KBG harus digalakkan dalam pembelajaran kendiri dan sesi bersemuka,
dengan penyediaan maklum balas segera bagi mempercepatkan pemahaman serta
memperkasa kemahiran digital dalam kalangan pelajar.
6.5 Penilaian semula perancangan dan struktur PdP adalah amat penting untuk
memastikan objektif, struktur, dan kaedah pengajaran dan pembelajaran selari dengan
potensi KBG. Ini termasuk menyemak semula bahan pengajaran agar menjadi lebih
interaktif serta menggunakan pelbagai format seperti teks, imej, dan video. Selain itu,
aktiviti kelas perlu dirancang untuk menggalakkan kolaborasi, pemikiran kritikal, dan
kreativiti pelajar bagi meningkatkan keberkesanan proses pembelajaran.
6.6 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, bukan hanya bergantung
kepada tugasan bertulis semata-mata.View official source ↗Collected: 2026-10-08 · 505–528
SHA-256: 28bf6fd53c33c11e8bbe7f4d4b4b800ebb5d4847c100345182106d78b4ba59ec
Site interpretation
The digital policy protects teaching-material ownership and personal information through security/privacy practices, including encryption, passwords and prevention of unauthorized access. It encourages cyber-safety awareness. The passage does not establish a particular GenAI provider account, data-processing contract or institution-issued AI licence.
Scope: students · Scope is limited to the cited official source and stated conditions; this is a local candidate, not a complete university rule set.
View original text and conditions
Scope: students · university
7.0 KESELAMATAN DAN PENGURUSAN BAHAN DIGITAL
7.1 Hak Milik dan Hak Cipta bagi semua bahan pengajaran yang dibangunkan staf
menggunakan kemudahan universiti adalah hak milik universiti. Staf yang
membangunkan kandungan diberikan hak eksklusif untuk mendaftar harta intelek,
mengawal dan menggunakan bahan tersebut dengan kebenaran universiti. Pendekatan
ini memastikan bahan yang dihasilkan oleh staf terus dimanfaatkan secara optimum di
samping memberi penghargaan atas sumbangan dalam membangunkan kandungan
pengajaran berkualiti.
7.2 Aspek keselamatan dan privasi adalah penting dalam melindungi maklumat peribadi
pelajar, staf akademik, dan kakitangan universiti. Ini termasuk perlindungan data melalui
sistem enkripsi, penggunaan kata laluan yang ketat, serta pematuhan terhadap garis
panduan dan undang-undang yang berkaitan dengan privasi data. Selain itu, langkah-
langkah keselamatan juga perlu diambil untuk mengelakkan akses tidak sah, termasuk
penggunaan firewall, perisian antivirus, dan pemantauan rangkaian secara berterusan.
Pengguna juga harus diberi kesedaran tentang amalan keselamatan siber yang baik,
seperti mengenali serangan phishing dan pentingnya melindungi maklumat peribadi.View official source ↗Collected: 2026-10-08 · 533–552
SHA-256: 28bf6fd53c33c11e8bbe7f4d4b4b800ebb5d4847c100345182106d78b4ba59ec
Site interpretation
The Malay document records academic committee approval on 17 December 2024 and Senate approval on 10 February 2025. Its 2025 framework is retained with those dates; full current plagiarism hearing, sanctions and appeal text was not obtained from the supplied public entry.
Scope: students · Scope is limited to the cited official source and stated conditions; this is a local candidate, not a complete university rule set.
View original text and conditions
Scope: students · university
Dokumen ini telah mendapat kelulusan:
Jawatankuasa Pengajian Akademik (JPA) Bil. 2/2024/2025 pada 17 Disember 2024.
Senat Universiti Bil. 4/2024/2025/244 pada 10 Februari 2025.View official source ↗Collected: 2026-10-08 · 31–33
SHA-256: 28bf6fd53c33c11e8bbe7f4d4b4b800ebb5d4847c100345182106d78b4ba59ec
Collection & version notes
Published source-based additions. English summaries and original-language quotations are shown separately from the reviewed record. These are possible processes and outcomes, not automatic penalties for AI use. Present applicability has not been independently confirmed; check the source scope and version.
Source-text comparison; not an official translation
Hashes allow comparison of saved content; they do not certify current validity or immutability. These topics are not a mandatory sequence.
AI tools & access
Tool access is not permission to use AI in an assessment. Check your assignment rules, eligible users and data restrictions.
No source-backed tool record has been established for this university yet. This does not mean AI tools are unavailable or prohibited.
Reviewed record
Reviewed claims
3 reviewed claims
Academic Integrity2 reviewed claims
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
Original evidence
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.
Localized display 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
Original evidence
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.
Localized display 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.
Teaching1 reviewed 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
Original evidence
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.
Localized display 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.
Source record
Official sources
2 sources
Open official source list
Dasar Pengajaran dan Pembelajaran Digital Universiti Tun Hussein Onn Malaysia
maya.uthm.edu.my
- Snapshot hash
- 7929254e…
Peraturan Pencegahan Plagiarisme Universiti Tun Hussein Onn Malaysia
puu.uthm.edu.my
- Snapshot hash
- 2b0d2d42…
Record information, JSON & citation
Citation: University AI Policy Tracker. "Universiti Tun Hussein Onn Malaysia (UTHM) AI Policy Tracker record." Last checked May 23, 2026. https://eduaipolicy.org/universities/universiti-tun-hussein-onn-malaysia-uthm
Original university source language remains canonical. This tracker is not an official university statement.
Open change logSaved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.