Cognitive Load Estimation for Optimizing Learning within Intelligent Tutoring Systems

Authors:
François Courtemanche;Mehdi Najjar;André Mayers
Affiliations:
Department of Computer Science, University of Sherbrooke,;Interdisciplinary Research Center on Emerging Technologies, University of Montreal,;Department of Computer Science, University of Sherbrooke,
Venue:
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Year:
2008

Citing 3
Cited 1

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Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
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Review: Integrating cognitive load theory and concepts of human-computer interaction

Computers in Human Behavior

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Abstract

This paper presents a guided learning strategy model for dynamic pedagogical tailoring within intelligent tutoring systems (ITS). The proposed model is based on the integration of the cognitive load theory within an ITS architecture. Our approach takes into account the cognitive limitations of the student in order to offers personalised learning via instructional guidance.