Research Article

Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring

Volume: 8 Number: 3 September 30, 2025
EN

Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring

Abstract

Despite the increasing use of online proctoring, prior research has not fully explored the factors influencing instructors’ adoption of these tools, nor clarified their role in promoting academic integrity. This study addresses these gaps by investigating instructors’ perceptions of online proctoring to uncover factors that underpin decisions to adopt online proctoring as an academic integrity tool. Using the Unified Theory of Acceptance and Use of Technology framework to examine determinants that influence the intended use of online proctoring, an online survey was completed by 158 instructors at various higher education institutions. Using structural equation modeling, the study found that performance expectancy is the primary determinant of an instructor’s intention to use online proctoring while effort expectancy has no significant impact. Interestingly, social influence also has a significant impact but only for instructors who have moderate to no online teaching experience. These findings suggest that institutions should focus on communicating the integrity benefits of online proctoring, provide clear guidelines for its implementation, and offer support for interpreting proctoring results. Additionally, institutions should address student privacy and anxiety concerns, especially when supporting novice online instructors. By tailoring policies and resources to these determinants, educators and institutions can make more informed decisions about the adoption and management of online proctoring.

Keywords

References

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  5. Bedford, W., Gregg, J., & Clinton, S. (2011). Preventing online cheating with technology: A pilot study of Remote Proctor and an update of its use. Journal of Higher Education Theory and Practice, 11(2), 41–59.
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  7. Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
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Details

Primary Language

English

Subjects

Measurement and Evaluation in Education (Other), Instructional Technologies

Journal Section

Research Article

Authors

Michele Gribbins This is me
0000-0003-2867-6929
United States

Publication Date

September 30, 2025

Submission Date

May 22, 2025

Acceptance Date

September 29, 2025

Published in Issue

Year 2025 Volume: 8 Number: 3

APA
Gribbins, M., & Bonk, C. (2025). Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring. Journal of Educational Technology and Online Learning, 8(3), 368-393. https://doi.org/10.31681/jetol.1703328
AMA
1.Gribbins M, Bonk C. Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring. JETOL. 2025;8(3):368-393. doi:10.31681/jetol.1703328
Chicago
Gribbins, Michele, and Curtis Bonk. 2025. “Using Structural Equation Modeling to Understand the Determinants That Drive Instructors’ Use of Online Proctoring”. Journal of Educational Technology and Online Learning 8 (3): 368-93. https://doi.org/10.31681/jetol.1703328.
EndNote
Gribbins M, Bonk C (September 1, 2025) Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring. Journal of Educational Technology and Online Learning 8 3 368–393.
IEEE
[1]M. Gribbins and C. Bonk, “Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring”, JETOL, vol. 8, no. 3, pp. 368–393, Sept. 2025, doi: 10.31681/jetol.1703328.
ISNAD
Gribbins, Michele - Bonk, Curtis. “Using Structural Equation Modeling to Understand the Determinants That Drive Instructors’ Use of Online Proctoring”. Journal of Educational Technology and Online Learning 8/3 (September 1, 2025): 368-393. https://doi.org/10.31681/jetol.1703328.
JAMA
1.Gribbins M, Bonk C. Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring. JETOL. 2025;8:368–393.
MLA
Gribbins, Michele, and Curtis Bonk. “Using Structural Equation Modeling to Understand the Determinants That Drive Instructors’ Use of Online Proctoring”. Journal of Educational Technology and Online Learning, vol. 8, no. 3, Sept. 2025, pp. 368-93, doi:10.31681/jetol.1703328.
Vancouver
1.Michele Gribbins, Curtis Bonk. Using structural equation modeling to understand the determinants that drive instructors’ use of online proctoring. JETOL. 2025 Sep. 1;8(3):368-93. doi:10.31681/jetol.1703328