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
- Schoolteachers in primary and secondary settings looking for classroom-ready uses of AI.
- University lecturers and tutors adapting teaching, assessment and supervision to a world where students already use these tools.
- School and faculty leaders who need an AI policy that is workable rather than merely restrictive.
- Ministry, JPN and district officers planning AI literacy at system level.
- Postgraduate supervisors and researchers in education technology.
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.
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.
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.