Analysis of Activity Logs of GakuNin LMS in the Use of the Information Security Course at Gunma University

Abstract

The GakuNin LMS operated by the National Institute of Informatics (NII) provides an information security teaching course called “Princess Rin-Rin's security column”. Gunma University extensively encourages students, faculty members, and staff to take this course. In this paper, we have classified the participants who took this course at Gunma University in the first semester of 2022 according to their course status and the results of the final test. Hierarchical clustering and K-means clustering, which are unsupervised learning methods, were used for the classification. The course status was classified into eight clusters, and the result of the final test was into four clusters. We have identified the most excellent cluster of the final test by investigating the clusters where the participants complete the final test with fewer attempts and in a shorter period of time. Furthermore, we have identified clusters of course status that include relatively good participants compared to the overall average using the relation between the clusters of course status and the clusters of final tests.