基于试题网络的个性化学习推荐系统研究

摘要

The implementation of personalized education is of great significance to the education reform of China.However,the mainstream education mode mainly relies on massive class teaching,thus making it difficult to implement personalized learning and for students to continue autonomous learning.To deal with these difficulties,and in the context of the large-scale educational data generated,the article obtained a test-relevant network through semantic representation of questions based on artificial intelligent techniques.Then,this article proposes a test question recommendation system,which aims to achieve students' autonomous learning and personalized learning after class.Finally,the effectiveness of the system is validated through the implementation of a real case.In summary,the proposed test question network and its technical implements in this paper could provide a novel solution for the implementation of personalized education in China.%个性化教育的实施对我国教育改革至关重要.然而目前主流教育模式为大班教学,个性化教育面临难以实现学生个性化学习、自主学习等现实困难.为了解决这些困难,文章在教育数据大量产生的背景下,通过基于人工智能技术的试题表征,得到了试题关联网络.在此基础上,文章进一步设计了试题推荐系统,实现了学生的课下自主学习和个性化学习.最后,文章通过具体实施案例,验证了该系统的有效性.总体来说,文章提出的试题关联网络理念和技术实现策略,为个性化教育的实施提供了一种新的方法.