Abstract
Analyzing case studies in a professional ethics course can be quite challenging for students. To help, we have developed a system called Umka that supports students in this analysis by: (i) directly critiquing the arguments of a student; and (ii) supporting collaboration among multiple students. Umka achieves this support through the interaction of a well-structured interface and the use of latent semantic analysis (LSA). We conducted an experiment, which demonstrated that this cross-interaction of the interface and LSA could be a promising way to ”diagnose” a student’s argument even without full natural processing.
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Graesser, A., Lu, S., Jackson, G., Mitchell, H., Ventura, M., Olney, A., Louwerse, M.: Autotutor: A tutor with dialogue in natural language. Behavior Research Methods 36(2), 180–192 (2004)
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© 2012 Springer-Verlag Berlin Heidelberg
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Sharipova, M., McCalla, G. (2012). Supporting Students in the Analysis of Case Studies for Professional Ethics Education. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_106
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DOI: https://doi.org/10.1007/978-3-642-30950-2_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30949-6
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