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

M. Gutierrez-Santos, Mihaela Cocea, G. Magoulas

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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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.
Original languageEnglish
Title of host publicationIntelligent Tutoring Systems
EditorsV. Aleven, J. Kay, J. Mostow
Place of PublicationNew York
Pages330 - 333
Number of pages4
ISBN (Print)9783642134364.
Publication statusPublished - 2010

Publication series

NameLecture Notes in Computer Science 2


  • case-based reasoning
  • exploratory learning environments
  • microworlds
  • adaptive feedback


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