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Supporting Students in the Analysis of Case Studies for Professional Ethics Education

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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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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References

  1. 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

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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