A Novel Approach for Extracting Students Temporal and Periodic Internet Usage Behaviors

Abstract

Understanding the students’ temporal and periodic Internet usage behaviors are essential for administrators, instructors and course coordinators for evaluating Internet usage behaviors related to those students’ undertaken courses or programs. In this investigation we propose a new Web usage mining approach for automatic extraction and visualization of periodic and temporal based Internet usage behaviors of individual users. Our model is able to extract each individual user’s changes on periodic behaviors during different periods of a semester. There is lot of research papers in education and Web usage mining exists. We believe our work is totally different because our concern is extracting individual users’ behavior and we used Web site classification scheme for extracting each individual student’s behavior’s.