Cross analytics of student and course activities from e-book operation logs

In this paper, we propose a cross analytics methodology of student activities and course activities using e-Book operation logs collected in 15 courses with face-to-face lecture style over 4 weeks. These courses commonly use the same lecture materials, but are conducted by different teachers. The new aspect of our research is that we perform cross analysis over courses. Most past researches focus on students' activities in a specific course, and give discussions about how the students behaved, how the behaviors differ from each other. In contrast, our research focuses on the course activities and conducts a comparison among courses. First, we begin with data alignment for row data to rectify a student activity every 10 seconds. Through our analytics, it becomes clear that whether students' activities varies with teachers or their teaching styles. In the experiments, we applied the proposed analytics to 1.1-million operation logs, and found out interesting characteristics through the comparison across courses.