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.
@article{arxiv.2005.02164,
title = {Self-Evolving Adaptive Learning for Personalized Education},
author = {Junhua Liu and Lionell Loh and Ernest Ng and Yijia Chen and Kristin L. Wood and Kwan Hui Lim},
journal= {arXiv preprint arXiv:2005.02164},
year = {2020}
}