Learning Analytics for Improving Learning Materials using Digital Textbook Logs
Abstract
The purpose of this paper is to find meaningful information for improving learning materials using digital textbook logs. The analysis and visualization methods of this study use frequency analysis and heat-map technologies. Logs for improving learning materials were collected in a digital textbook system. In order to analyze and visualize the collected logs, this paper proposes a system called SILM (System for Improving Learning Materials). Using SILM, instructors or teachers can find the points to be improved in the learning materials that they created. An initial evaluation was conducted to evaluate (1) whether the digital textbook system would be beneficial to the learners in terms of usability and degree of satisfaction and (2) whether a teacher can find the points to be improved in the digital textbooks using SILM. Eight graduate and undergraduate students who are studying at university participated in the evaluation experiment. From the results of the evaluation experiment, it was found that the system contributed to find the points to be improved in the digital textbooks.
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