基于学习行为大数据分析的混合式教学模式研究

Research on Hybrid Teaching Model Based on Big Data Analysis of Learning Behavior

任何一种教学模式都是针对一定的教学目标而设计的。为了满足学生日益增长的个性化学习需求,获得更好的教学效果,笔者借助交互式网络教学平台的大数据,通过对学习者的学习行为进行大数据分析,总结出普遍性规律,从'线上+线下'混合教学环境、区别化混合教学方法、信息化与课堂深度融合的混合教学方式、以过程评价为主的混合教学评价、交互式教学平台与教学资源的有效融合5个方面探讨重构了混合式教学模式。

Any kind of teaching mode is designed for a certain teaching goal,in order to meet the growing personalized learning needs of students and achieve better teaching results.Based on the big data of the interactive network teaching platform and through the analysis of the big data of learners’learning behavior,this paper summarizes the universal laws,and discusses and reconstructs the mixed teaching mode from five aspects:the'online+offline'mixed teaching environment,the differentiated mixed teaching method,the mixed teaching method of deep integration of information and classroom,the mixed teaching evaluation based on process evaluation,and the effective integration of interactive teaching platform and teaching resources.