Research on personalized learning resource Recommendation strategy for learning Process
面向学习过程的个性化学习资源推荐策略研究

摘要

随着教育信息化的发展，在线学习逐渐成为人们学习的重要方式。然而在信息技术快速变革、数据爆炸增长的今天，如何精准而又全面地为学习者提供学习资源，即如何实现学习资源的个性化推荐成为教育研究的主流方向。基于此，本研究简要论述两种较为成熟的个性化推荐算法，同时分析现有推荐算法的不足，提出混合推荐算法，建构面向学习过程的混合推荐模型，以期为后来的个性化推荐研究提供参考。

Abstract

With the development of educational informatization, online learning has gradually become an important way for people to learn. However, with the rapid change of information technology and explosive growth of data, how to provide learners with learning resources accurately and comprehensively, that is, how to realize personalized recommendation of learning resources, has become the mainstream direction of education research. Based on this, this study briefly discusses two relatively mature personalized recommendation algorithms, analyzes the shortcomings of existing recommendation algorithms, proposes a hybrid recommendation algorithm, and constructs a learning-oriented hybrid recommendation model, in order to provide reference for future personalized recommendation research.