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《Modern Educational Technology》 2018-06
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Research on Personalized Learning Recommendation System Based on Test Network

LIU Qi;DING Peng;HUANG Xiao-Qing;DONG Jing-jing;Anhui Province Key Laboratory of Big Data Analysis and Application,University of Science and Technology of China;IFLYTEK CO.,LTD;  
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.
【Fund】: 教育部-中国移动科研基金(2017)研发项目“基于人工智能的学生个性化学习与质量监测研究”(项目编号:MCM20170507)的阶段性研究成果
【CateGory Index】: G434
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