移动学习投入量动态变化的文本挖掘和情感分析研究  

A Text Mining and Sentiment Analysis Approach to the Dynamic Changes of Mobile Learning Engagement

作　　者：肖巍[1] 李金凤 

机构地区：[1]重庆大学外国语学院,重庆 [2]重庆市礼嘉中学校,重庆

出　　处：《创新教育研究》2021年第5期1231-1238,共8页Creative Education Studies

摘　　要：本文使用文本挖掘和情感分析两种技术,分析了“语言学导论”课程移动学习平台的学生发言数据,探讨了学生课前/课后的行为/情感投入量的动态变化规律,以及移动学习投入对学习成效的提升作用。结果表明:行为投入从开学到期中稳中略升,期末有所下降,且课后投入高于课前。课后情感投入与行为投入类似,但课前情感投入持续低迷、波动较大。无论是课前/课后还是行为/情感投入,均与期末成绩呈显著正相关。与未使用移动学习平台的班级相比,使用移动学习的班级期末成绩更高。Based on students’ online posts on a mobile learning platform in the course of An Introduction to Linguistics, this paper employed both text mining and sentiment analysis techniques to investigate the dynamic changes of students’ pre-/after-class and behavioral/emotional learning engagement, as well as the effect of mobile learning engagement on performance. The findings show that students’ behavioral engagement is high at the beginning of semester, slightly ascends at the mid-term, and goes down at the end of semester. It is also higher in the after-class activities than the pre-class ones. The after-class emotional engagement is similar with behavioral engagement, but the pre-class emotional engagement keeps low and fluctuates greatly. There is a significant positive correlation between the final exam performance and learning engagement, be it pre-/after-class or behavioral/emotional. Compared to the class that is not equipped with mobile learning platform, the class using this platform outperformed in the final exam, indicating that mobile learning engagement can boost learning performance.

关 键 词：移动学习 行为投入 情感投入 文本挖掘 情感分析 

分 类 号：G63[文化科学—教育学]