Skip to main content

A Computer Adaptive Testing Method for Intelligent Tutoring Systems

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Abstract

The growth of popularity of computers increases interest of adaptive testing in tutoring systems. Computer adaptive testing is a form of educational measurement that is adaptable to examine proficiency. In a procedure of adaptive testing it is required to determine a selection of the first item, a method of estimation of student’s proficiency, a method of selection of the next item and a termination criterion. In this paper the original algorithm of adaptive testing with all basic steps is proposed. The level of difficulty of the first item is set using user’s profile. Such solution allows to start a test, where the first item is suitable for student’s preferences. In our method 2-parameter IRT model is applied to choose the next item.

This research was financially supported by the Polish Ministry of Science and Higher Education under the grants no. 0419/B/T02/2009/37 and N N519 407437.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

  1. Baker, F.: The Basics of Item Response Theory. In: ERIC Clearinghouse on Assessment and Evaluation, 2nd edn. University of Maryland, College Park (2001)

    Google Scholar 

  2. Bunderson, V., Inouye, D., Olson, J.: The four generations of computerized educational measurement. In: Linn, R.L. (ed.) Educational measurement. Macmillan, New York (1988)

    Google Scholar 

  3. Conejo, R., et al.: SIETTE: A Web–Based Tool for Adaptive Testing. International Journal of Artificial Intelligence in Education 14, 1–33 (2004)

    MathSciNet  Google Scholar 

  4. Fetzer, M.: The Next Evolution of Computer Adaptive Testing. In: Talent Managment, p. 5 (2009)

    Google Scholar 

  5. Gouli, E., Kornilakis, H., Papanikolaou, K., Grigoriadou, M.: Adaptive Assessment Improving Interaction in an Educational Hypermedia System. In: Proceedings of the PanHellenic Conference with International Participation in Human-Computer Interaction, pp. 217–222 (2001)

    Google Scholar 

  6. Kobsa, A., Koenemann, J., Pohl, W.: Personalized Hypermedia Presentation Techniques for Improving Online Customer Relationships. The Knowledge Engineering Review 16(2), 111–155 (2001)

    Article  MATH  Google Scholar 

  7. Kozierkiewicz, A.: Content and structure of learner profile in an intelligent E-learning system. In: Nguyen, N.T., Kolaczek, G., Gabrys, B. (eds.) Knowledge Processing and Reasoning for Information Society. EXIT Warsaw (2008)

    Google Scholar 

  8. Kwan, R., Wong, K., Yu, C., Tsang, P., Kat Leung, K.: Building an Assessment Learning System on the Web. In: Fong, J., Kwan, R., Wang, F.L. (eds.) ICHL 2008. LNCS, vol. 5169, pp. 91–102. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Linden van der, W.J., Glas, C.A.W. (eds.): Computerized adaptive testing: theory and practice. KluwerAcademic Publishers, Boston (2000)

    Google Scholar 

  10. López-Cuadrado, J., Armendariz, A., Pérez, T.A.: Adaptive evaluation in an E-Learning System Architecture. In: Mendez-Vilas, A., et al. (eds.) Current Developments in Technology-Assisted Education, Formatex, Badajoz, Spain, pp. 1507–1511 (2006)

    Google Scholar 

  11. Sztejnberg, A., Hurek, J.: Zastosowanie osiągnięć technologii komputerowej w pomiarze edukacyjnym. Komputerowe testowanie w pełni adaptacyjne. In: Bilek, M. (ed.) Aktualni Otazky Vyuky Chemie XII, ICT ve vyuce chemie a v priprave ucitelu chemie, Univerzita Hradec Kralove, Gaudeamus, Hradec Kralove, pp. 235–238 (2002)

    Google Scholar 

  12. Veldkamp, B.P.: Bayesian Item Selection in Constrained Adaptive Testing Using Shadow Tests. Psicologica 31, 149–169 (2010)

    Google Scholar 

  13. Weber, G., Peter Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web-based Instruction. W: International Journal of Artificial Intelligence in Education 12, 351–384 (2001)

    Google Scholar 

  14. WebCT, http://www.blackboard.com/

  15. Moodle, http://moodle.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kozierkiewicz-Hetmańska, A., Nguyen, N.T. (2010). A Computer Adaptive Testing Method for Intelligent Tutoring Systems. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15387-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15387-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15386-0

  • Online ISBN: 978-3-642-15387-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics