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International Conference on Case-Based Reasoning

ICCBR 2010: Case-Based Reasoning. Research and Development pp 406–420Cite as

A Case-Based Reasoning Approach to Automating the Construction of Multiple Choice Questions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6176))

Abstract

Automating the construction of multiple-choice questions (MCQs) is a challenge that has attracted the interest of artificial intelligence researchers for many years. We present a case-based reasoning (CBR) approach to this problem in which MCQs are automatically generated from cases describing events or experiences of interest (e.g., historical events, movie releases, sports events) in a given domain. Measures of interestingness and similarity are used in our approach to guide the retrieval of cases and case features from which questions, distractors, and hints for the user are generated in natural language. We also highlight a potential problem that may occur when similarity is used to select distractors for the correct answer in certain types of MCQ. Finally, we demonstrate and evaluate our approach in an intelligent system for automating the design of MCQ quizzes called AutoMCQ.

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Author information

Authors and Affiliations

  1. School of Computing and Information Engineering, University of Ulster, Coleraine, BT52 1SA, Northern Ireland

    David McSherry

Authors
  1. David McSherry
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Editor information

Editors and Affiliations

  1. Institute of Technology, University of Washington, Tacoma, 1900 Commerce Street, Box 358426, 98402, Tacoma, WA, USA

    Isabelle Bichindaritz

  2. Dipartimento di Informatica, Università del Piemonte Orientale, P.O. Box, Alessandria, Italy

    Stefania Montani

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McSherry, D. (2010). A Case-Based Reasoning Approach to Automating the Construction of Multiple Choice Questions. In: Bichindaritz, I., Montani, S. (eds) Case-Based Reasoning. Research and Development. ICCBR 2010. Lecture Notes in Computer Science(), vol 6176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14274-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-14274-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14273-4

  • Online ISBN: 978-3-642-14274-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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