A mixture item selection approach for e-testing

Chi Keung Eddie LEUNG

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

Computerized adaptive testing is a very effective mode in e-testing. It can shorten the time in providing accurate estimate of student ability. In this paper, we will introduce a new item selection method that would allow more flexibility in balancing the two competitive goals of accuracy and item pool utilization in computerized adaptive testing. Moreover, an index for comparing a weighted balance of these two goals is proposed. Copyright © 2009 Asia-Pacific Society for Computers in Education.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Computers in Education: ICCE 2009
EditorsSiu Cheung KONG, Hiroaki OGATA, Hans Christian ARNSETH, Carol K. K. CHAN, Tsukasa HIRASHIMA, Fanny KLETT, Jimmy LEE, Chen Chung LIU, Chee Kit LOOI, Marcelo MILRAD, Antonija MITROVIC, Kiyoshi NAKABAYASHI, Su Luan WONG, Stephen YANG
Place of PublicationHong Kong
PublisherThe Hong Kong Institute of Education
Pages407-414
ISBN (Print)9789868473539
Publication statusPublished - 2009

Citation

Leung, C.-K. (2009). A mixture item selection approach for e-testing. In S. C. Kong, et al. (Eds.), Proceedings of the 17th International Conference on Computers in Education: ICCE 2009 (pp. 407-414). Hong Kong: The Hong Kong Institute of Education.

Keywords

  • Accuracy
  • Item pool utilization
  • Computerized adaptive testing
  • Item selection

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