A case-based reasoning approach to provide adaptive feedback in microworlds

Authors:
Sergio Gutierrez-Santos;Mihaela Cocea;George Magoulas
Affiliations:
Birkbeck College, London Knowledge Lab, University of London, London, (UK);Birkbeck College, London Knowledge Lab, University of London, London, (UK);Birkbeck College, London Knowledge Lab, University of London, London, (UK)
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Year:
2010

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Abstract

This paper presents a case-based reasoning (CBR) approach to provide adaptive support in microworlds Interaction in microworlds is complex and unstructured, making the analysis of student behaviour difficult and the provision of computer-based feedback challenging Our approach starts with the ellicitation of expected solutions to microworld tasks (both valid and common mistakes) to generate a case base This is used to evaluate the actions of students and provide adapted feedback.