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. © 2010 Springer-Verlag.
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CITATION STYLE
Gutierrez-Santos, S., Cocea, M., & Magoulas, G. (2010). A case-based reasoning approach to provide adaptive feedback in microworlds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6095 LNCS, pp. 330–333). https://doi.org/10.1007/978-3-642-13437-1_61
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