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arXiv · 2005.02164

Self-Evolving Adaptive Learning for Personalized Education

Junhua Liu·Lionell Loh·Ernest Ng·Yijia Chen·Kristin L. Wood·Kwan Hui Lim
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Abstract

Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current education system, students are required to have a deep understanding of knowledge according to standardized curriculums and syllabus, and exam-related problem solving skills. In current school settings, this learning normally occurs in large classes of 30-40 students per class. Such a ``one size fits all'' approach may not be effective, as different students proceed on their learning in different ways and pace. To address this problem, we propose the Self-Evolving Adaptive Learning (SEAL) system for personalized education at scale.

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Junhua Liu, Lionell Loh, Ernest Ng, Yijia Chen, Kristin L. Wood, Kwan Hui Lim. 2020-04-25. Self-Evolving Adaptive Learning for Personalized Education. https://doi.org/10.1145/3406865.3418326

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