基于智慧教育平台大数据的学生学习行为分析

高校学生学习行为分析是智慧教育平台大数据重要的组成部分,通过数据分析可以实现课程的再造,用大数据的思想和理念重新构建新时期的课程内容和教学模式,从教学内容、教学方法、教师教学思想等多方面进行优化与重组,有效提升学生的学习能力与学习兴趣。文章结合智慧教育平台模式下,如何构建学生学习行为分析模型入手,统计和分析高校学生学习行为和习惯,根据智慧教育平台混合教育的模式,提出智慧教育平台大数据应根据学生学习行为分析调整与优化教学策略,激发学生学习的活力和动力的主张,并提出具体的对策与建议。

The analysis of learning behavior of college students is an important part of big data,which can realize the reconstruction of curriculum through data analysis,reconstruct the curriculum content and teaching mode with big data's ideas and ideas,optimize and reorganize the teaching content,teaching method and teachers'teaching thought from many aspects,so as to effectively improve students'learning ability and interest.Based on the model of wisdom education platform,this paper starts with how to construct the analysis model of students'learning behavior,statistics and analyzes the learning behavior and habits of college students,and puts forward that big data,the platform of wisdom education,should be rooted according to the mixed education mode of wisdom education platform.According to the analysis of students'learning behavior to adjust and optimize teaching strategies,stimulate students'learning vitality and motivation,and put forward specific countermeasures and suggestions.