Adaptable E-learning by means of Real-Time Eye-Tracking
Maja Pivec, Juergen Pripfl, Christian Trummer, FH JOANNEUM, Dept. of Information Design, Austria
EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract: In this paper we describe ongoing research project called AdeLE, a framework for adaptive e-learning utilising both eye tracking and content tracking technology. We report more in detail about current research challenges where we observe users' learning behaviour in real time by monitoring characteristics such as objects and areas of focus, time spent on objects, frequency of visits, and sequences in which content is consumed. This research is focused on analysing eye-movement patters during learning and linking these patterns with cognitive processes. Possible areas of application are described, such as using the information about the position of the eye for providing additional context specific information to the learner. The framework ensures not only adaptivity to the users' preferences, knowledge level and the real-time tracking of their behaviour, but also ensures the relevance, accuracy and reliability of the knowledge provided.
Pivec, M., Pripfl, J. & Trummer, C. (2005). Adaptable E-learning by means of Real-Time Eye-Tracking. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 4037-4041). Montreal, Canada: Association for the Advancement of Computing in Education (AACE).
© 2005 Association for the Advancement of Computing in Education (AACE)