Abstract
Authoring tools enable the more rapid creation of intelligent tutoring systems. Such tools are essential for tutors to become more widespread. In this study we evaluate WebxPST, a browser-based authoring system that enables non-programmers to create model-tracing-like intelligent tutors. Five authors, two course instructors and three undergraduates, created 74 problems suitable for use in an undergraduate statistics curriculum. A subset of these problems was deployed in a classroom. These authors quickly mastered the authoring interface showing the feasibility of the tool.
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© 2011 Springer-Verlag Berlin Heidelberg
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Blessing, S.B., Devasani, S., Gilbert, S. (2011). Evaluation of WebxPST: A Browser-Based Authoring Tool for Problem-Specific Tutors. 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_57
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DOI: https://doi.org/10.1007/978-3-642-21869-9_57
Publisher Name: Springer, Berlin, Heidelberg
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