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Comparative Analysis of AI Training Uptake in Malaysian and Indonesian Universities

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  • Mohd Azlishah Othman

    (Department of Engineering, Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia)

  • Abd Shukur Jaafar

    (Department of Engineering, Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia)

  • Redzuan Abd Manap

    (Department of Engineering, Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia)

  • Mohammad Harris Misran

    (Department of Engineering, Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia)

  • Maizatul Alice Meor Said

    (Department of Engineering, Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia)

  • Shadia Suhaimi

    (Faculty of Business, Multimedia University, Jalan Ayer Keroh Lama, 75450 Ayer Keroh, Melaka, Malaysia)

  • Nurmala Irdawaty Hassan

    (Electrical and Electronic Engineering, School of Engineering and Physical Sciences, Heriot-Watt University Malaysia 1, Jalan Venna P5/2, Precinct 5, 62200 Putrajaya, Malaysia)

  • Yoga Tri Nugraha

    (Department of Electrical Engineering, Faculty of Engineering, Universitas Al-Azhar Medan,20143,Kota Medan, Indonesia)

Abstract

This study investigates the impact of Generative AI on higher education institutions in Malaysia and Indonesia, focusing on factors influencing AI training uptake among university staff and students. Using logistic regression analysis, we explored the relationship between demographic variables, AI tool usage, and attitudinal measures on the likelihood of receiving AI training. The results reveal a positive perception of AI significantly increases the likelihood of training participation, while geographic location, frequency of AI tool usage, concerns about AI, and satisfaction with AI integration do not have significant effects. These findings underscore the importance of promoting AI’s benefits, enhancing AI literacy, and addressing structural barriers to ensure effective integration of AI in higher education. These findings provide valuable insights for policymakers and educators aiming to leverage AI technology to improve educational outcomes.

Suggested Citation

  • Mohd Azlishah Othman & Abd Shukur Jaafar & Redzuan Abd Manap & Mohammad Harris Misran & Maizatul Alice Meor Said & Shadia Suhaimi & Nurmala Irdawaty Hassan & Yoga Tri Nugraha, 2025. "Comparative Analysis of AI Training Uptake in Malaysian and Indonesian Universities," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 4657-4665, January.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:1:p:4657-4665
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