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AdELE: A Framework for Adaptive E-Learning through Eye Tracking

Victor Manuel García Barrios
(IICM, Faculty of Computer Science, Graz University of Technology, Austria
vgarcia@iicm.edu)

Christian Gütl
(IICM, Faculty of Computer Science, Graz University of Technology, Austria
cguetl@iicm.edu)

Alexandra M. Preis
(Information Design, University of Applied Sciences FH JOANNEUM, Graz, Austria
alexandra.preis@fh-joanneum.at)

Keith Andrews
(IICM, Faculty of Computer Science, Graz University of Technology, Austria
kandrews@iicm.edu)

Maja Pivec
(Information Design, University of Applied Sciences FH JOANNEUM, Graz, Austria
maja.pivec@fh-joanneum.at)

Felix Mödritscher
(IICM, Faculty of Computer Science, Graz University of Technology, Austria
fmoedrit@iicm.edu)

Christian Trummer
(Information Design, University of Applied Sciences FH JOANNEUM, Graz, Austria
christian.trummer@fh-joanneum.at)

Abstract: In this paper we introduce AdELE, a framework for adaptive e-learning utilising both eye tracking and content tracking technology. The framework is based upon the combination of fine-grained real-time eye tracking with synchronous content tracking, a user profiler, an adaptive multimedia learning environment, and a dynamic background library. 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.
Keywords: e-learning, learning on demand, adaptive hypermedia systems, attentive information system, dynamic background library, personalisation, user profiling, eye tracking.

Categories: H.3, H.4, H.5, J.4, K.3.2, I.2.6

I-Know 2004 - AdeLE (PDF) I-Know 2004 - AdeLE (PDF)