远程教育杂志2016，Vol.34Issue(4)：35-42,8.
在线视频学习投入的研究*--MOOCs视频特征和学生跳转行为的大数据分析
Research on Learning Engagement of Online Video:Analysis on the Relation between MOOCs Video Features and Seek Behavior While Watching
摘要
Abstract
The students’ seek behaviors including moving forward and backward in the video during watching. Seek behavior is an index of coordination between learners ’ cognitive processing speed and the information display style in the video. The analysis of the relationship between seek behavior and the features of MOOCs video shows how students adjust attention in accordant to the video. Based on the background data of clicking behavior from the Chinese course “big data and information transmission” on Cours-era platform, two researchers analyzed video features including four types of video styles, six PPT styles, with the consistence check, and then compared the relationship of analysis result and clicking behavior, which showed that: (1) Among the three video styles, the video that including PPT/figure alternative occurrence has the highest seek rate. The seek rate for concurrence and occurrence in sequence of PPT and figure has no significant difference. (2) The seek rate increase when the PPT shows assignment and core con-cept. The seek rate decrease when PPT shows conclusion information. The result indicates that the seek behavior can be an index to evaluate students’ attention maintain and shift while video watching. Thus it can be a significant index for course video efficiency and learning engagement in future MOOCs course evaluation. The result can be a reference for producing video to conform to students ’ cognitive habit.关键词
MOOCs视频/学习投入/跳转行为/大数据/学习行为分析Key words
MOOCs video/Learning engagement/Seek behavior/Big data/Learning behavior analysis分类
社会科学引用本文复制引用
陈侃,周雅倩,丁妍,严文蕃,吕倩文..在线视频学习投入的研究*--MOOCs视频特征和学生跳转行为的大数据分析[J].远程教育杂志,2016,34(4):35-42,8.基金项目
本文系2013年度上海市教育科学研究“本科研究型教学的过程描述、效果测定及争议问题验证”（项目编号B13001）的研究成果。 （）
