AI for Education Malaysia

Dr. Muhamad Hariz specializes in AI for education, covering AI tools for teachers, personalized learning, EdTech innovation, and AI-driven education transformation in Malaysia. Contact: mhariz@meta.upsi.edu.my

What AI for education means in Malaysian classrooms

AI in education is not about replacing teaching. It is about removing the repetitive work that surrounds teaching – drafting lesson plans, generating differentiated materials, giving faster formative feedback, summarising readings – so that more of a teacher’s time goes to the parts of the job that need a human. Training focuses on that shift, with the professional judgement and academic-integrity questions handled explicitly rather than left to chance.

Who it is for

What the training covers

Teaching and preparation

Lesson planning, worksheet and rubric generation, differentiating material for mixed-ability classes, and building reusable prompt libraries. See AI for lesson planning for a worked example.

Assessment and feedback

Faster formative feedback, question generation, and the limits of AI marking – including where a human must stay in the loop.

Academic integrity and policy

Designing assessments that remain meaningful when students have AI, and writing a classroom or faculty policy people will actually follow. Background reading: academic integrity in the age of AI.

AI literacy for students

Teaching learners to use AI critically: verifying output, recognising fabrication, citing appropriately, and understanding bias.

Formats

Sessions run as in-service workshops for a whole school or faculty, half-day introductions, multi-session programmes across a term, online webinars for teachers spread across districts, and keynote or plenary talks at education conferences. Content is adjusted to the subject areas and year levels in the room.

Why an academic trainer

Dr. Muhamad Hariz Bin Muhamad Adnan is a Doctor in Artificial Intelligence and a Senior Lecturer at the Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris (UPSI) – Malaysia’s education-focused university. He teaches and supervises postgraduate research himself, so the training reflects how these tools behave in real classrooms and real supervision, not a vendor demo. He is also HRD Corp-certified, which matters for private colleges and education companies funding training through their levy.

For a wider overview, read the guide to AI in education in Malaysia and AI training for teachers and educators.

What a session looks like

A typical in-service day runs in three movements. The morning opens with a plain-language grounding in what generative AI actually does and where it fails, so staff share one accurate mental model rather than a dozen rumours. The middle block is hands-on: participants work on their own lesson plans, rubrics, question banks or feedback comments, using the tools on real material from their own subject. The closing block turns to judgement, which is the part that decides whether the training survives contact with the classroom: how to check output, when to disclose AI use, and how to redesign an assessment so it still measures the student rather than the tool.

Sessions are delivered in English or Bahasa Melayu, and the examples are drawn from the participants own teaching level, whether that is primary, secondary, matriculation or university. Institutions that want a measurable outcome can add a short pre and post activity so leadership can see what changed, rather than relying on a satisfaction form.

What institutions usually ask for first

The most common starting point is a whole-staff awareness day, followed later by a smaller, deeper workshop for the teachers who will lead adoption in each department. Leadership teams often add a separate policy session, because the questions that stall AI adoption in a school are rarely technical. They are about assessment integrity, parental communication and what counts as acceptable use. Further background is available in the guide to AI in education in Malaysia and in the note on academic integrity in the age of AI.

Related services

For non-education organisations, see corporate AI training in Malaysia. For an overview of trainer credentials and engagement options, see AI trainer Malaysia. Postgraduate supervision enquiries are handled via the supervision page.

Frequently asked questions

Do teachers need technical skills to attend?

No. Sessions assume no programming background. Participants work with the same browser-based tools they would use day to day.

Can a whole school be trained at once?

Yes. Whole-school in-service days are a common format, usually combining a plenary session with subject-group breakouts.

Is the training available in Bahasa Melayu?

Yes. Sessions can be delivered in Bahasa Melayu, English, or a mix, depending on the audience.

Does this help with school AI policy?

Yes. A policy workshop is available for leadership teams, covering permitted use, disclosure expectations and assessment redesign.

Can a session be delivered online?

Yes. Sessions run online, in person, or as a hybrid where one campus hosts and others join remotely. The hands-on block works online provided participants attend on a device they can actually type on.

Is the training suitable for university lecturers as well as school teachers?

Yes. Dr. Muhamad Hariz is a Senior Lecturer at the Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, and sessions are pitched to the audience, so a lecturer cohort works on supervision, assessment design and research workflows rather than classroom worksheets.

Arrange a session

To discuss an in-service day, a district programme or a conference talk, contact Dr. Muhamad Hariz with your institution, audience size and preferred dates.