On modeling the affective effect on learning

Authors:
Arunkumar Balakrishnan
Affiliations:
Department of Computer Technology and Applications, Coimbatore Institute of Technology, Coimbatore, India
Venue:
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Year:
2011

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Abstract

This paper presents an approach to modeling the affective state of a student. The model represents the learning process used by the student including the affective state. The student modeling is built upon an ontology of machine learning strategies. This paper describes how the ontology is extended to include affective knowledge. The recommended learning strategies for a situation are ordered based on the affective state of the learner.