Eye-Tracking Assisted Self-Directed Learning System

Abstract

Guiding young learners' attention improves their self-directed learning skills, and that attention can be analyzed via the learners' eye movements. Thus, we propose a self-directed learning system integrating eye trackers with a web based interface to provide an attention guiding function that aims at notifying the learners about the ignored or the skipped parts from the learning material as well as providing hints about the confusing sections. We aim at implementing a cost-effective system that can be used by learners not only at school, but also at home. In conclusion, we believe that the proposed system can be considered as effective tool to enhance the learners' self-directed learning skills.