Advertisement

Scoring Candidates in the Adaptive Test

  • Tarik Hajji
  • Zakaria Itahriouan
  • Mohammed Ouazzani Jamil
  • El Miloud Jaara
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)

Abstract

In this paper, we present a methodology able to make an automatic and rapid evaluation of the candidates in adaptive tests. The objective is to evaluate candidate level related to specific skills using minimum number of asked questions. Our proposed approach is based on quadratic algorithm in terms of compatibility. We begin this work with an introduction to the adaptive tests where we present its limitations. The second part is about main algorithms used in this work. In the third part, we present our approach of relevant selecting items. The last part is about results and its analyses.

Keywords

Item response theory Computing adaptive testing Quadratic method 

References

  1. 1.
    Rudner, L.M.: Online computer adaptive testing (CAT). http://echo.Edres.org:8080/scripts/cat/catdemo.htm
  2. 2.
    Johnson, M.S.: Marginal Maximum Likelihood estimation of item response models inGoogle Scholar
  3. 3.
    Jong, M.G.D., Steenkamp, J.E.M., Fox, J.P., Baumgartner, H.: Using item response theory to measure extreme response style in marketing research. J. Mark. Res. 45(1), 104–115 (2006)CrossRefGoogle Scholar
  4. 4.
    Popov, D.I.: Adaptive testing algorithm based on fuzzy logic. Int. J. Adv. Stud. 3(4), 23–27 (2013)CrossRefGoogle Scholar
  5. 5.
    Young, M.: The Technical Writer’s Handbook. University Science, Mill Valley (1989)Google Scholar
  6. 6.
    Rizopoulos, D.: Item Response Theory in R using Package LTM. Department of Statistics and Mathematics, WU WirtschaftsuniversitÄat Wien (2010)Google Scholar
  7. 7.
    Kousholt, K., Hamre, B.: The students should be as clever as they can – the Danish case – similarities in the Danish School Reform and computer adaptive testing (CAT). Oxford Studies in Comparative Education (2015)Google Scholar
  8. 8.
    Baker, F.B., Kim, S.-H.: Item Response Theory: Parameter Estimation Techniques, 2nd edn. (2004)Google Scholar
  9. 9.
    Popov, D.I., Demidov, D.G., Denisov, D.A.: Adaptive method of knowledge evaluation during employee’s validation (2014)Google Scholar
  10. 10.
  11. 11.
  12. 12.
    Devouche, E.: Les banques d’items. Construction d’une banque pour le Test de Connais-sance du Français (2003)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Private University of Fez (UPF)FezMorocco
  2. 2.Mohammed First University Oujda (UMP)OujdaMorocco

Personalised recommendations