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 conference › Papers

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

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 the 3rd National Council on Measurement in Education (NCME) Special Conference on Classroom Assessment: Communicating with the Public about Educational Measurement, Fairmont Royal York, Toronto, Canada.

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