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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.

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Adaptive Learning: Integrating Machine Learning and Multimodal Strategies in Programming Education

  • 会议论文

  • 发表日期：

    2025年

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  • Sek -Kit Teh,
  • Chee-Yong Lau,
  • Sin-Ban Ho,
  • Ian-Chai

摘要

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.