A Survey of Personalized Adaptive Learning System

Personalized adaptive learning provides smart education with technologies and methodological techniques that enable the personalized aspirations of learners. This paper analyses the relevant literature and elaborates on the concept and impact of personalized adaptive learning. The research on personalized adaptive learning systems is systematically reviewed and interpreted from three aspects: learner models, learning resource models and algorithms for learning recommendations. The general framework of personalized adaptive learning systems is first summarized, followed by the ideas and methods for constructing learning resource models, then the implementation mechanism of learner models is explored, and then the recommendation algorithms for learning resources are summarized and their shortcomings are summarized. Finally, the future development direction of personalized adaptive learning systems is also foreseen, laying the foundation for further in-depth research on intelligent learning.