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