节点文献
网络课程学生行为数据可视分析研究
Research on the Visual Analysis of Students’ Behavior Data in Network Courses
【摘要】 可视分析技术对于大规模网络课程教学过程性评估具有重要作用。针对学生海量行为数据的多维性与复杂性,构建了学生行为绩效可视分析模型与师生交互可视分析模型,设计并实现了网络课程学生行为数据可视分析系统,采用某校网络教育学院课程数据对提出的可视化分析模型和系统进行了实证分析,结果表明该系统对于学生网络交互行为具有较强的分析能力,能够有效辅助探究学生行为与学习绩效的关联关系,实现师生交互整体分析与学生行为个性化分析。
【Abstract】 Visual analysis technology play an important role in the formative assessment of large- scale network courses. The visual analysis model of students’ behaviour performance and the visual analysis model of interaction between teachers and students were built for the multiple dimensions and complexity of massive students’ behaviours data. Design and implements a visualization analysis system of students’ behaviour data for network courses. Based on the data of a school network course,an empirical analysis of the proposed visual analysis model and the system is carried out. The experimental results show the system can effective auxiliary to explore the association between students’ behaviours and learning performance.The individual analysis of students ’ behaviours and holistic analysis of teacher- student interactions would be realized.
【Key words】 Network Courses; Students’ behaviour data; Visual analysis; Learning performance;
- 【文献出处】 西南科技大学学报 ,Journal of Southwest University of Science and Technology , 编辑部邮箱 ,2016年02期
- 【分类号】TP393-4;G642
- 【被引频次】4
- 【下载频次】208