Visualising student tracking data to support instructors in web-based distance education

TLDR

The study proposes using CMS web‑log data to enable instructors to monitor student activity in distance learning courses. The authors develop CourseVis, an information‑visualization tool that renders multidimensional CMS tracking data into interactive graphics. Evaluation of CourseVis demonstrates that its visualizations help instructors detect class‑wide trends and spot students requiring special attention.

Abstract

This paper presents a novel approach of using web log data generated by course management systems (CMS) to help instructors become aware of what is happening in distance learning classes. Specifically, techniques from Information Visualization are used to graphically render complex, multidimensional student tracking data collected by CMS. A system, called CourseVis, illustrates the proposed approach. Graphical representations from the use of CourseVis to visualise data from a java on-line distance course ran with WebCT are presented. Findings from the evaluation of CourseVis are presented, and it is argued that CourseVis can help teachers become aware of some social, behavioural, and cognitive aspects related to distance learners. Using graphical representations of student tracking data, instructors can identify tendencies in their classes, or quickly discover individuals that need special attention.