Research on the Strategy of E-Learning Resources Recommendation Based on Learning Context

Abstract

E-learning has gradually become an important learning modality in modern society. How to present the suitable and high-quality learning resource to students from massive learning resources is particularly important. Personalized recommendation technology is one of the effective solutions. However, because of the lack of consideration of learning context information, the existing learning resource recommendation methods cannot effectively solve the problems such as knowledge navigation loss and learning topic drift. In order to solve these problems, this paper proposes an e-learning resource recommendation method based on learning contexts. By constructing the learners' learning context map and "knowledge-resource" context correlation model, combining with the personalized recommendation technology, the learners are treated with learning resources that fit their learning goals, knowledge ability and individual preference. This strategy can help learners to grasp the knowledge system and learning direction, and improve their learning efficiency.