Mehigan, Tracey J. and Barry, Mary and Kehoe, Aidan and Pitt, Ian (2011) Using eye tracking technology to identify visual and verbal learners. In: Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011 :. Proceedings - IEEE International Conference on Multimedia and Expo . UNSPECIFIED, ESP. ISBN 9781612843490
Full text not available from this repository. (Request a copy)Abstract
Learner style data is increasingly being incorporated into adaptive eLearning (electronic learning) systems for the development of personalized user models. This practice currently relies heavily on the prior completion of questionnaires by system users. Whilst potentially improving learning outcomes, the completion of questionnaires can be time consuming for users. Recent research indicates that it is possible to detect a user's preference on the Global / Sequential dimension of the FSLSM (Felder-Silverman Learner Style Model) through a user's mouse movement pattern, and other biometric technology including eye tracking and accelerometer technology. In this paper we discuss the potential of eye tracking technology for inference of Visual / Verbal learners. The paper will discuss the results of a study conducted to detect individual user style data based on the Visual / Verbal dimension of the FSLSM.
Item Type: | Book Section |
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Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/1700/1705 |
Departments or Groups: | |
Depositing User: | Admin SSL |
Date Deposited: | 19 Oct 2022 23:18 |
Last Modified: | 22 Jun 2023 19:35 |
URI: | http://repository-testing.wit.ie/id/eprint/5244 |
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