Skip to main content

A Framework for Automated Generation of Questions Based on First-Order Logic

  • Conference paper
  • First Online:
Artificial Intelligence in Education (AIED 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

Included in the following conference series:

Abstract

In this work, questions are tasks posed to students to help them understand a subject, or to help educators assess their level of competency in it. Automated question generation is important today as content providers in education try to scale their efforts. In particular, MOOCs need a continuous supply of new questions in order to offer educational content to thousands of students, and to provide a fair assessment process. In this paper we establish first-order logic as a suitable formal tool to describe question scenarios, questions and answers. We apply this approach to the domain of mechanics (physics) in high school education.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Cinderella geometry tool (January 2013). http://www.cinderella.de/tiki-index.php

  • Geogebra geometry tool (January 2013). http://www.geogebra.org

  • Alvin, C., Gulwani, S., Majumdar, R., Mukhopadhyay, S.: Synthesis of geometry proof problems. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence, pp. 245–252 (2014)

    Google Scholar 

  • Frühwirth, T., Raiser, F. (eds.): Constraint Handling Rules: Compilation, Execution, and Analysis. Books On Demand (2011)

    Google Scholar 

  • Gao, X.-S., Lin, Q.: MMP/geometer – a software package for automated geometric reasoning. In: Winkler, F. (ed.) ADG 2002. LNCS (LNAI), vol. 2930, pp. 44–66. Springer, Heidelberg (2004)

    Google Scholar 

  • Melis, E., Siekmann, J.H.: ActiveMath: an intelligent tutoring system for mathematics. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 91–101. Springer, Heidelberg (2004)

    Google Scholar 

  • Schrijvers, T., Demoen, B.: The K. U. Leuven CHR system-implementation and application. In: First Workshop on Constraint Handling Rules-Selected Contributions, pp. 1–5 (2004)

    Google Scholar 

  • Singh, R., Gulwani, S., Rajamani, S.: Automatically generating algebra problems. In: Brodley, C.E., Stone, P. (eds.) Proceedings of the 26th AAAI Conference on Artificial Intelligence, pp. 1620–1627 (2012)

    Google Scholar 

  • Singhal, R., Henz, M., McGee, K.: Automated generation of geometry questions for high school mathematics. In: Proceeedings of the Sixth International Conference on Computer Supported Education, Barcelona, Spain (2014)

    Google Scholar 

  • Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J.A., Shelby, R.H., Taylor, L., Treacy, D.J., Weinstein, A., Wintersgill, M.C.: The Andes physics tutoring system-five years of evaluations. In: Proceedings of the Artificial Intelligence in Education Conference, pp. 678–685 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rahul Singhal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Singhal, R., Henz , M., Goyal, S. (2015). A Framework for Automated Generation of Questions Based on First-Order Logic. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_114

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19773-9_114

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics