Computerized adaptive testing algorithms (marginal, joint, iterative) for student evaluation of teaching

Chia Wen Wayne CHEN, Chen-Wei LIU, Ming Ming CHIU, Wen-Chung WANG

Research output: Contribution to conferencePapers

Abstract

No one has applied Computerized Adaptive Testing (CAT) to Student Evaluation of Teaching (SET). We introduce three algorithms for CAT of SET (Marginal, Joint, Iterative) and evaluate them via simulations. The Iterative method showed the highest reliability, lowest RMSE, and little bias. Joint or Marginal were worse. Random was the worst. Copyright © 2019 NCME conference.
Original languageEnglish
Publication statusPublished - Apr 2019
Event2019 Annual Meeting of National Council on Measurement in Education - Toronto, Canada
Duration: 04 Apr 201908 Apr 2019
https://www.ncme.org/event/annual-meeting/past-meetings/2019-recap

Conference

Conference2019 Annual Meeting of National Council on Measurement in Education
Abbreviated titleNCME 2019
Country/TerritoryCanada
CityToronto
Period04/04/1908/04/19
Internet address

Citation

Chen, C.-W., Liu, C.-W., Chiu, M. M., & Wang, W.-C. (2019, April). Computerized adaptive testing algorithms (marginal, joint, iterative) for student evaluation of teaching. Paper presented at 2019 Annual Meeting of National Council on Measurement in Education, Fairmont Royal York, Toronto, Canada.

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