A Flipped Model of Active Reading Using Learning Analytics-enhanced E-book Platform

Authors

  • Yuko TOYOKAWA Graduate School of Informatics, Kyoto University, Japan Author
  • Rwitajit MAJUMDAR Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Louis LECAILLIEZ Graduate School of Informatics, Kyoto University, Japan Author
  • Hiroaki OGATA Academic Center for Computing and Media Studies, Kyoto University, Japan Author

Abstract

Flipped learning is an effective learning method embraced by many teachers. However, it is difficult to observe how students are actually engaging in their learning outside of classrooms. By using an e-book reader with an analysis tool called BookRoll (BR), learning attempts can be visualized. This is an ongoing experiment in an active reading (AR) class to measure the effect of Survey, Question, Read, Record, Recite and Review (SQ4R), a common AR strategy in a university in Japan. Sixteen freshmen do their AR assignments through BR, and the classroom activities are organized based on the analysis of their outcomes. The following two research questions are stated: 1) what is the engagement of the students in different phase of the learning activity? and 2) is there any relation between the students’ test scores and their flipped active reading performance? The results show that there are relations between students’ test scores and their flipped reading performance. Limitations and future implications for data informed teaching are discussed.

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Published

2021-11-22

How to Cite

A Flipped Model of Active Reading Using Learning Analytics-enhanced E-book Platform. (2021). International Conference on Computers in Education. http://library.apsce.net/index.php/ICCE/article/view/4191