Abstract
E-learning has become ubiquitous in many higher education institutions. Learning management systems that deliver E-learning courses generate huge logs of data from student activities. In this paper, we investigated the presence of different student learning activities based on log data. This diversity of students' involvement in the learning process establish through the Learning Management System (LMS) were clustered and the correlation between the e-learning activities was identified. Then, we examined the student specific profiles based on the analyzed data. The study was conducted at King Abdul-Aziz university using the log data obtained from various blended learning courses hosted on the Blackboard platform. The research results showed the existence of three classes defined the profile of each group of students. The correlation test performed was significant and demonstrated the effect of the student's behavioral numerical profile on his/her academic performance.