Citation

Teh, Sek Kit and Lau, Chee Yong and Ho, Sin Ban and Chai, Ian (2025) Adaptive Learning: Integrating Machine Learning and Multimodal Strategies in Programming Education. In: International Conference on Data Engineering and Communication Technology, 28-29 September 2024, Kuala Lumpur, Malaysia.

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Abstract

With the digital landscape continuously evolving, there’s an increasing need for skilled programmers. This study looks into how advanced machine learning can be harnessed to create a learning experience in programming that’s more tailored and personalized. By bringing together different learning formats—like text, coding exercises, videos, and audio—our aim is to adapt the educational experience to match each student’s individual learning style and speed. This approach not only caters to individual learning preferences but also significantly enhances engagement and educational outcomes. By thoroughly testing and validating our approach, we aim to showcase the tangible benefits and effectiveness of this technology-driven method in meeting the changing demands of the tech industry.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Machine Learning
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	27 Aug 2025 02:41
Last Modified:	29 Aug 2025 09:06
URII:	http://shdl.mmu.edu.my/id/eprint/14412

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