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Developing an Intelligent Tutoring System Using Natural Language for Knowledge Representation

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Intelligent Tutoring Systems (ITS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6095))

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Abstract

Authoring the domain knowledge of an intelligent tutoring system (ITS) is a well-known problem, and an often-mentioned approach is to use authors who are domain experts. Unfortunately, this approach requires that potential authors learn to write and debug knowledge written in a formal knowledge representation language. If authors were able to use natural language to represent knowledge it would allow them to add and update knowledge far more easily. In this paper, the design of such an authoring system, ‘Natural-K’ is presented. Natural-K is an authoring system in which domain authors including non-programmers are able to add problem statements and background knowledge such as commonsense, in natural language.

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Author information

Authors and Affiliations

  1. Intelligent Systems Program, University of Pittsburgh, Pennsylvania, USA

    Sung-Young Jung

  2. School of Computing Informatics and Decision Systems Engineering, Arizona State University, Arizona, USA

    Kurt VanLehn

Authors
  1. Sung-Young Jung
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  2. Kurt VanLehn
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Editor information

Editors and Affiliations

  1. Human-Computer Interaction Institute, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Vincent Aleven  & Jack Mostow  & 

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

    Judy Kay

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Jung, SY., VanLehn, K. (2010). Developing an Intelligent Tutoring System Using Natural Language for Knowledge Representation. 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_69

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  • DOI: https://doi.org/10.1007/978-3-642-13437-1_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13436-4

  • Online ISBN: 978-3-642-13437-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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