Abstract
Having students analyze case studies is one of the common tutoring strategies for ill-defined domains. This paper presents a system, Umka, that supports learners as they form arguments about case studies in a professional ethics class. The system creates visualizations of the differences between students’ case positions, and suggests to students certain peers to interact with who might help to provide deeper and broader insight. The system has been run in several iterations. Experiments with the latest version confirm the benefits of the approach in stimulating productive interactions among students, and causing students to reconsider and broaden their initial positions on a case study.
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Sharipova, M., McCalla, G. (2015). Supporting Students’ Interactions over Case Studies. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_113
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DOI: https://doi.org/10.1007/978-3-319-19773-9_113
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