AI-WIM For TVET Speeds Up Preparation Of Teaching Materials

From Mohamad Harith Mohamad Nizar

SHANGHAI, Sept 24 (Bernama) -- The Artificial Intelligence-Written Instructional Material (AI-WI) for TVET project has the potential to modernise and expedite the process of preparing teaching materials for Technical and Vocational Education and Training (TVET) instructors nationwide.

Department of Skills Development (JPK) director-general Dr Kamaruzaman Md Ali said the innovation, developed by the Centre for Instructor and Advanced Skill Training (CIAST), could reduce the time required to develop teaching materials.

He said previously, the development of teaching materials took between eight and 12 months, depending on the number of competency units (CUs) for a particular National Occupational Skills Standard (NOSS).

Kamaruzaman added that the implementation of the AI-based system was aimed at reducing instructors’ workload in preparing WIM, which comprises components such as the Theory Teaching Plan, Information Sheet, Assignment Sheet, Practical Teaching Plan and Job Sheet, thereby enabling them to focus fully on the quality of delivery in the classroom.

“Currently, we are using AI as a tool to save instructors time in developing WIM so that they can focus more on how to engage with students, improve their delivery, or seek additional knowledge so that we can provide students with content that is very dynamic and up-to-date,” he said when met by Bernama here.

Kamaruzaman said the AI-WIM for TVET innovation represented a digital transformation of the WIM structure used in the Malaysian Skills Certification System since 1996, based on the NOSS.

Meanwhile, commenting on how the system operates, CIAST Research, Innovation and International Division head Dr Norhayati Yahaya said instructors only needed to upload the NOSS PDF document containing the industry’s occupational competency standards into the system.

She said the document’s contents would then be processed through several stages of AI technology to structure the information before it was used to generate teaching materials.

According to her, the system utilises several AI and cloud computing technologies to assist in structuring information and generating teaching content.

“Although we use AI, the human role remains an important component of this system.

“We use a Human-in-the-Loop approach, whereby facilitators or instructors are required to review and verify the generated materials to ensure that the content is of good quality, accurate and appropriate in terms of both knowledge and practical application,” said Norhayati.

She said the pilot project, which was developed since 2025, is currently in the testing phase with training centres and industry players, with plans to add new functions before its official launch.

Meanwhile, the success of the local innovation has also gained international recognition after it was selected as one of the 29 best projects from 130 global entries across 20 countries to be presented at the WorldSkills Conference held in conjunction with the WorldSkills Competition (WSC) Shanghai 2026.

A total of 22 young Malaysians are competing in 21 internationally recognised skills areas at WSC Shanghai 2026, which brings together 1,400 top young skilled professionals from more than 65 countries and territories, representing 64 skills areas.

-- BERNAMA