A Usability Analysis and Consequences of Testing Exploration of the Problem-Solving Measures–Computer-Adaptive Test

Testing is a part of education around the world; however, there are concerns that consequences of testing is underexplored within current educational scholarship. Moreover, usability studies are rare within education. One aim of the present study was to explore the usability of a mathematics problem-solving test called the Problem Solving Measures–Computer-Adaptive Test (PSM-CAT) designed for grades six to eight students (ages 11–14). The second aim of this mixed-methods research was to unpack consequences of testing validity evidence related to the results and test interpretations, leveraging the voices of participants. A purposeful, representative sample of over 1000 students from rural, suburban, and urban districts across the USA were administered PSM-CAT followed by a survey. Approximately 100 of those students were interviewed following test administration. Findings indicated that (1) participants engaged in the PSM-CAT as desired and found it highly usable (e.g., most respondents were able to use and find the calculator and several students commented that they engaged with the test as desired) and (2) the benefits from testing largely outweighed any negative outcomes (e.g., 92% of students interviewed had positive attitudes towards the testing experiences), which in turn supports consequences from testing validity evidence for PSM-CAT. This study provides an example of a usability study for educational testing and builds upon previous calls for greater consequences of testing research.

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Publication Details

Journal
Education Sciences
Published
2025-05-30
DOI
https://doi.org/10.3390/educsci15060680
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00

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article

A Usability Analysis and Consequences of Testing Exploration of the Problem-Solving Measures–Computer-Adaptive Test

Suzanne King, Toni A. May, Jonathan David Bostic, Gregory E. Stone
Education Sciences
Educational Research and Pedagogy
article

A Usability Analysis and Consequences of Testing Exploration of the Problem-Solving Measures–Computer-Adaptive Test

Suzanne King, Toni A. May, Jonathan David Bostic, Gregory E. Stone
article en

Abstract

Testing is a part of education around the world; however, there are concerns that consequences of testing is underexplored within current educational scholarship. Moreover, usability studies are rare within education. One aim of the present study was to explore the usability of a mathematics problem-solving test called the Problem Solving Measures–Computer-Adaptive Test (PSM-CAT) designed for grades six to eight students (ages 11–14). The second aim of this mixed-methods research was to unpack consequences of testing validity evidence related to the results and test interpretations, leveraging the voices of participants. A purposeful, representative sample of over 1000 students from rural, suburban, and urban districts across the USA were administered PSM-CAT followed by a survey. Approximately 100 of those students were interviewed following test administration. Findings indicated that (1) participants engaged in the PSM-CAT as desired and found it highly usable (e.g., most respondents were able to use and find the calculator and several students commented that they engaged with the test as desired) and (2) the benefits from testing largely outweighed any negative outcomes (e.g., 92% of students interviewed had positive attitudes towards the testing experiences), which in turn supports consequences from testing validity evidence for PSM-CAT. This study provides an example of a usability study for educational testing and builds upon previous calls for greater consequences of testing research.

Education SciencesVol. 15(6)
Binghamton University (US), Bowling Green State University (US)
National Science Foundation
Openalex Percentile: Top 88%
Educational Research and Pedagogy
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A Usability Analysis and Consequences of Testing Exploration of the Problem-Solving Measures–Computer-Adaptive Test — Suzanne King, Toni A. May, et al. · Education Sciences (2025) | TGRS Research Map | TGRS