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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.
|Title of host publication||Intelligent Tutoring Systems|
|Editors||V. Aleven, J. Kay, J. Mostow|
|Place of Publication||New York|
|Pages||330 - 333|
|Number of pages||4|
|Publication status||Published - 2010|
|Name||Lecture Notes in Computer Science 2|
- case-based reasoning
- exploratory learning environments
- adaptive feedback
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