E-Book-Based Learning Analytics for Improving Learning Materials

The purpose of this paper is to mine or detect meaningful information for improving learning materials using e-book-based logs. The analysis and visualization methods of this study use association analysis with Apriori algorithm. Logs for e-book-based learning analytics were collected in an e-book 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 learning materials that should be improved. We believe that improving learning materials with analyzing and visualizing educational big data lead to improving student results.