Eye Tracking in eLearning: Challenges and Future Research

Abstract

Eye tracking methods are increasingly being used to analyze and evaluate e-learning systems. Eye tracking systems use the movements of eyes during visual exploration to identify the eye positions and gaze patterns. In e-learning, eye tracking can be used to validate learning preferences, content adaptation and presentation styles according to the cognitive styles, prior knowledge and computer competency of the learner. In this paper, we explore how eye tracking have been applied to enable effective user involvement and engagement in eLearning. Review of eye tracking applications in interactive and adaptive eLearning systems as well as in diagnostic applications are discussed.