Abstract
In previous work, we developed SlideTutor - an Intelligent Tutoring System that teaches visual classification problem-solving in Pathology, and shown that use of the system is associated with rapid learning gains. Development of the SlideTutor system and content has required many years of effort by system developers, knowledge engineers and domain experts. Both cases and domain ontologies must be manually created and validated. The scope of medical knowledge that must be covered is extremely large. The further development of tutoring systems for visual classification in medical domains (including our own) requires software that reduces this high development burden. Towards this goal, we sought to create a generic framework for developing visual classification tutoring systems in medical fields such as Pathology or Radiology. In this interactive event, we present the first and most difficult step towards such a generic visual classification ITS authoring system – the component for creating and validating cases and domain ontologies.
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© 2010 Springer-Verlag Berlin Heidelberg
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Tseytlin, E., Castine, M., Crowley, R. (2010). DomainBuilder – An Authoring System for Visual Classification Tutoring Systems. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_99
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DOI: https://doi.org/10.1007/978-3-642-13437-1_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13436-4
Online ISBN: 978-3-642-13437-1
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