INCREASING STUDENT READING COMPREHENSION USING EYE-TRACKING DATA ANALYSIS

An improvement of existing e-learning courses, both in terms of structure and content, is not a trivial task to achieve. In order to step in the right direction, we've decided to utilise the insight found in current research and continuous analysis of the way students internalize the knowledge provided through e-courses. To identify the shortcomings of current e-courses, authors have used Eye-Tracking to pinpoint areas, where students have difficulty understanding text and internalizing the knowledge contained therein. Utilising the Eye-Tracking data, it is possible to create heat-maps to visualise the gaze of the students, to identify and modify problematic parts of the course lectures and subsequently adjust them according to the acquired data and current didactic, pedagogical and psychological theories. The impact of these innovations on the effectiveness of e-learning courses will be verified by testing the newly-gained knowledge and monitoring activity of students participating in the established research groups.