谷歌Chrome浏览器插件
订阅小程序
在清言上使用

Online Learning Student Engagement: RFM Model Perspective

2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU)(2023)

引用 0|浏览4
暂无评分
摘要
Engagement in learning is seen as a key factor in figuring out how well online courses work. Perception-based surveys have been used to get a better idea of how students learn. The fact that a learning management system can keep track of log data from online learning activities opens up the possibility of adding data-driven measures to survey-based measures of student engagement. The purpose of this research is to investigate whether or not it is possible to construct a model of students' levels of engaged learning using the information taken from their online learning logs. Based on the findings of this study, a model of student engagement could be constructed using a marketing research methodology to analyze student online learning behavior. A fresh approach to determining how actively students are participating in their own education is provided by the methodology suggested in this research. What we already know about perception-based student learning engagement will be added to and improved by the information that can be gained from a new perspective on student learning engagement.
更多
查看译文
关键词
Student Engagement,Online Learning,Learning Engagement,Recency,Frequency and Monetary (RFM) Model
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要