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Defining Solution Boundaries for EDM Vis

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Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

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Abstract

Software-tutors like intelligent tutoring systems generate lots of student log-data. However making sense of this data is often difficult, because of the quantity generated. EDM Vis is a visualization tool for interacting, exploring and navigating software-tutor log-data, so educators can see what students are doing, and how they are doing it. New methods for clustering similar solution-approaches of students need to be developed so researchers can make better sense of what students are doing, in turn improving software-tutor log-data visualizations and intelligent tutoring systems.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA

    Matthew W. Johnson

Authors
  1. Matthew W. Johnson
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Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

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© 2011 Springer-Verlag Berlin Heidelberg

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Johnson, M.W. (2011). Defining Solution Boundaries for EDM Vis. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_115

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_115

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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