基于情感分类模型的大学生碎片化学习研究

Research on College Students’Fragmented Learning Based on Emotion Classification Model

碎片化学习在当今教学理念与信息技术急速发展的推进下逐渐深入大学生的学习生活。依托在线课程的使用,运用情感分类模型对大学生碎片化学习的现状进行数据分析,从负向评价筛选、评价主题筛选、个性化内容推荐三方面,探索改进大学生碎片化学习效果的综合策略,以期为碎片化学习的后续发展研究提供可借鉴的经验。

Fragmented learning has gradually penetrated into the study life of college students with the rapid development of teaching concepts and information technology.This paper reviews the evolution of fragmented learning and using emotion classification models to analyze the current situation of college students’fragmented learning relying on the use of online courses.This paper explores a comprehensive strategy for improving the eff ect of college students’fragmented learning from the following aspects:negative screening,topic screening,and personalized recommendation.It is aimed at providing theoretical and practical references for the subsequent development of fragmented learning.