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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/17610

Title: Eye Tracking in eLearning: Challenges and Future Research
Authors: George, Remya.
Anwar, Rasiya.
Jeyasekhar, Sunitha.
Keywords: Eye Tracking; Adaptive elearning systems; Cognitive styles; Prior experience; Evaluation of e- learning systems
Issue Date: 2010
Publisher: IEEE
Citation: International Conference on Information and Multimedia Technology ICIMT 2010
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.
URI: http://hdl.handle.net/123456789/17610
ISSN: Not Available
Appears in Collections:College of Computer and Information Sciences

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