Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data

摘要

Recently, various educational data such as clickstream data and eye movement data have been collected from students using e-learning systems. Learning analytics-based approaches also have been proposed such as student performance prediction and a monitoring system of student learning behaviors for supporting teachers. In this paper, we introduce our recent work as instances of the use of clickstream data and eye movement data. In our work, the clickstream data is used for representing student learning behaviors, and the eye movement data is used for estimating page areas where the student found difficulty. Besides, we discuss advantages and disadvantages depending on the types of educational data. To discuss them, we investigate a combination of highlights added on pages by students and eye movement data in page difficulty estimation. In the investigation, we evaluate the similarity between positions of highlights and page areas where the student found difficulty generated from eye movements. It is shown that areas in the difficult pages correspond to the highlights in this evaluation. Finally, we discuss how to combine the highlights and eye movement data.