A mixture item selection approach for e-testing

Chi Keung Eddie LEUNG

Research output: Contribution to conferencePapers

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.
Original languageEnglish
Publication statusPublished - Nov 2009
EventThe 17th International Conference on Computers in Education 2009 (ICCE 2009): "Community Building of Frontiers in Computers in Education" - The Hong Kong Institute of Education, Hong Kong
Duration: 30 Nov 200904 Dec 2009
https://apsce.net/conferences/past-conferences

Conference

ConferenceThe 17th International Conference on Computers in Education 2009 (ICCE 2009): "Community Building of Frontiers in Computers in Education"
Abbreviated titleICCE 2009
Country/TerritoryHong Kong
Period30/11/0904/12/09
Internet address

Citation

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.

Keywords

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

Fingerprint

Dive into the research topics of 'A mixture item selection approach for e-testing'. Together they form a unique fingerprint.