Managing E-learning

This study analyses the behaviour of students and lecturers activities in an e-learning using Moodle course logs and pivot table. Moodle course logs are mined and subsequently are integrated to be data pivoting toward visualization. The number of “view” and “update” activities are extracted from Moodle course logs and are visualized into meaningful insight of elearning evaluation. There is high correlation between lectures and student in “update” activity. Its similarity in activity trends between lecturers and students provides an opportunity to build a preliminary hypothesis that lecturer activity will affect student activity in an asynchronous e-learning model. Meanwhile, the correlation value between “views” and “update” activities was low within lecturer activities. Several rationalities are discussed in this study. The most performed activity by lecturers is File while the Lesson is the least activity. The future work of research is that “views” and “update” are an indicators of student and lecturer participation where its amount have been said to be an important predictor of engagement and success in running elearning. Keywords—view, update, moodle, log data