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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 cansee 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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Authors and Affiliations
Computer Science Department, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, 28223, USA
Matthew W. Johnson
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Editors and Affiliations
EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA
Gautam Biswas
Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.
Susan Bull
School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia
Judy Kay
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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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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