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

Juergen Pripfl
(Information Design, University of Applied Sciences FH JOANNEUM, Graz , Austria
Juergen.pripfl@fh-joanneum.at)

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

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

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 describe first experiences with AdeLE prototype, a framework for adaptive e-learning utilising both eye tracking and content tracking technology. We outline features of the first prototype and their relevance for the user. 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 u sing 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 the relevance, accuracy and reliability of the knowledge provided.

Keywords: real time eye tracking, adaptable e-learning, learning research, cognition

Categories: (H.4, J.4, K.3, I.5)