基于慕课数据的语法学习难度研究

Study of Second Language Grammatical Learning Difficulty:Evidence from the Background Data of MOOC

基于Coursera平台上北京大学《现代汉语核心语法》慕课的后台数据,对学习者数据及其学习行为进行阐述与挖掘。首先对课程信息进行总体分析;然后提取学习者观看视频和参加测试的行为数据,构建量化模型,计算出25个语法点的学习难度指数;最后从教学内容和课程设计角度,讨论语法学习难度的影响因素,为优化语法类慕课设计提供参考。

In order to find the grammatical learning difficulties of Chinese as a second language,based on the background data of Modern Chinese Core Grammar course of Peking University makes detailed data mining.First,analysis from the overall analysis of MOOC data;then models were constructed to calculate difficulty index of the grammar points;at last,the data mining in this paper provides an important basis for further enhancing the learning effect and optimizing the structure of MOOC course.