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Computer Adaptive vs. Non-adaptive Medical Progress Testing: Feasibility, Test Performance, and Student Experiences Cover

Computer Adaptive vs. Non-adaptive Medical Progress Testing: Feasibility, Test Performance, and Student Experiences

Open Access
|Jul 2024

Abstract

Background: Computerized adaptive testing tailors test items to students’ abilities by adapting difficulty level. This more efficient, and reliable assessment form may provide advantages over a conventional medical progress test (PT). Prior to our study, a direct comparison of students’ performance on a computer adaptive progress test (CA-PT) and a conventional PT, which is crucial for nationwide implementation of the CA-PT, was missing. Therefore, we assessed the correlation between CA-PT and conventional PT test performance and explored the feasibility and student experiences of CA-PT in a large medical cohort.

Methods: In this cross-over study medical students (n = 1432) of three Dutch medical schools participated in both a conventional PT and CA-PT. They were stratified to start with either a conventional PT or CA-PT to determine test performance. Student motivation, engagement and experiences were assessed by questionnaires in students from seven Dutch medical schools. Parallel-forms reliability was assessed using the Pearson correlation coefficient.

Results: A strong correlation was found (0.834) between conventional PT and CA-PT test performance. The CA-PT was administered without system performance issues and was completed in a median time of 83 minutes (67–102 minutes). Questionnaire response rate was 31.7% (526/1658). Despite a higher experienced difficulty, most students reported persistence, adequate task management and good focus during the CA-PT.

Conclusions: CA-PT provides a reliable estimation of students’ ability level in less time than a conventional non-adaptive PT and is feasible in students throughout the entire medical curriculum. Despite the strong correlation between PT scores, students found the CA-PT more challenging.

DOI: https://doi.org/10.5334/pme.1345 | Journal eISSN: 2212-277X
Language: English
Submitted on: Mar 6, 2024
Accepted on: Jun 19, 2024
Published on: Jul 26, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Elise V. Van Wijk, Jeroen Donkers, Peter C. J. De Laat, Ariadne A. Meiboom, Bram Jacobs, Jan Hindrik Ravesloot, René A. Tio, Cees P. M. Van Der Vleuten, Alexandra M. J. Langers, Andre J. A. Bremers, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.