Mohamad, Ahmad Fadzil and Suhaimin, Mohd Khairul Nizam and Akmal, Suriati and Abdul Rahim, Hazli Rafis and Wan Mahmood, Wan Hasrulnizzam and Hashim, Hazrul Syakirin (2024) Enhancing TVET graduate employability through AI Integration: An AHP Analysis in the End-of-Life Vehicle (ELV) sector. In: 2024 International Conference on TVET Excellence & Development (ICTeD), 16 December 2024 through 17 December 2024, Melaka, Malaysia.
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Enhancing TVET Graduate Employability Through AI Integration_ An AHP Analysis in the End-of-Life Vehicle ELV Sector.pdf Restricted to Registered users only Download (248kB) |
Abstract
The emergence of Artificial Intelligence (AI) in recent years has brought about substantial changes in several industries, including the End-of-Life Vehicle (ELV) sector by optimizing processes such as vehicle dismantling, material classification, and recycling. As artificial intelligence (AI) progresses, it is crucial for Technical and Vocational Education and Training (TVET) institutions to ensure that its graduates possess the essential AI skills in order to improve their chances of finding employment. However, the integration of AI into TVET programs and its impact on graduate employability remains underexplored, especially within the ELV sector. The purpose of this paper is to examine and evaluate the crucial factors that enhance the job prospects of TVET graduates in the ELV industry by incorporating AI technology. Through the application of the Analytical Hierarchy Process (AHP), a thorough examination was carried out on 27 factors that were classified into different categories. These categories include Curriculum Integration, Industry-driven, AI Applications, Ethics & Sustainability and AI Management. The study prioritizes the top factors including AI integration into curricula, hands-on training with AI tools, industry collaboration, AI-driven predictive maintenance, and process optimization. The findings offer practical insights for TVET institutions and industry stakeholders to align educational strategies related to AI with industry demands. This will ultimately improve the job prospects of graduates in the ever-changing ELV sector.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence (AI), Technical and Vocational Education and Training (TVET), End-of-Life Vehicle (ELV), Analytical Hierarchy Process (AHP) |
| Divisions: | Institute of Technology Management And Entrepreneurship |
| Depositing User: | Wizana Abd Jalil |
| Date Deposited: | 26 Feb 2026 07:02 |
| Last Modified: | 26 Feb 2026 07:02 |
| URI: | http://eprints.utem.edu.my/id/eprint/29595 |
| Statistic Details: | View Download Statistic |
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