A mixture item selection approach for e-testing

Chi Keung Eddie LEUNG

Research output: Contribution to conferencePapers


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.
Original languageEnglish
Publication statusPublished - Nov 2009


Leung, C.-K. (2009, November). A mixture item selection approach for e-testing. Paper presented at The 17th International Conference on Computers in Education ICCE 2009: Community Building of Frontiers in Computers in Education, the Hong Kong Institute of Education, Hong Kong.


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


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