SHORT REVIEW ON APPLICATIONS OF ADAPTIVE AND PERSONALISED LEARNING IN ENGINEERING EDUCATION

Muhammad Amin Azman, Muhammad Azim Azizi, Abdul Hadi Azman

Abstract


Adaptive and personalized learning are improving engineering education by addressing the shortcomings of traditional, uniform teaching methods. Leveraging technologies such as AI, learning analytics, and real-time feedback, these approaches customize content to match each student’s pace, strengths, and needs. This enhances engagement, retention, and mastery of complex technical concepts. Tools like adaptive platforms, tagging systems, and digital portfolios foster autonomy and self-regulated learning. Studies across various engineering fields show improved motivation, understanding, and performance when students learn through personalized, interactive systems. As industry demands evolve, adaptive learning prepares students for interdisciplinary careers and aligns education with modern technological and professional needs.


Keywords


Adaptive learning; Personalized learning; Engineering; Education

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References


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