DSpace

King Saud University Repository >
King Saud University >
COLLEGES >
Science Colleges >
College of Computer and Information Sciences >
College of Computer and Information Sciences >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15615

Title: Eye Tracking in eLearning: Challenges and Future Research
Authors: Rasiya Anwar
Sunitha Jeyasekhar
Keywords: eLearning; Eye Tracking; Adaptive elearning
تاريخ النشر: 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/123456789/15615
يظهر في المجموعات:College of Computer and Information Sciences

:الملفات في هذا العنصر

ملف وصف حجمالنوع
Razia-conf-2.docx19.34 kBMicrosoft Word XMLعرض\u0641تح

جميع جميع الابحاث محمية بموجب حقوق الطباعة، جميع الحقوق محفوظة.

 

البرمجيات DSpace حقوق المؤلف © 2002-2009 معهد ماساتشوستس للتكنولوجيا و Hewlet Packard - التغذية الراجعة