Development and Validation of an Online Teaching Effectiveness Questionnaire for Online Instructors
Keywords:
Online Teaching Effectiveness Questionnaire, Validation, Online InstructorsAbstract
Given the lack of measurement tools for assessing the level of online teaching effectiveness among online instructors, the present study aimed to validate the Online Teaching Effectiveness Questionnaire for online instructors. The current study was conducted using an analytical instrument-development approach. For this purpose, 345 online instructors who had studied virtually were selected through available random sampling and responded to the Online Teaching Effectiveness Questionnaire. The validity of the instrument was then assessed using content validity, exploratory factor analysis, and confirmatory factor analysis, and its reliability was evaluated using Cronbach’s alpha and test–retest reliability. The results of the factor analyses showed that the factorial structure of the instrument had an acceptable fit with the data and that all goodness-of-fit indices supported the model. Moreover, the reliability analysis indicated that both Cronbach’s alpha coefficients and the test–retest reliability coefficients were all above 0.80, demonstrating appropriate internal and external consistency. Therefore, this questionnaire appears to be a suitable instrument for measuring the level of online teaching effectiveness among online instructors.
Downloads
References
1. Sahni S, Verma S, Kaurav RPS. Understanding digital transformation challenges for online learning and teaching in higher education institutions: a review and research framework. Benchmarking: An International Journal. 2025;32(5):1487-521. doi: 10.1108/BIJ-04-2022-0245.
2. Banerjee S, Shaw D, Sparke M. Collaborative online international learning, social innovation and global health: cosmopolitical COVID lessons as global citizenship education. Globalisation, Societies and Education. 2025;23(2):379-92. doi: 10.1080/14767724.2023.2209585.
3. Zhang R. Pre-Trained Online Contrastive Learning for Insurance Fraud Detection. Proceedings of the Aaai Conference on Artificial Intelligence. 2024;38(20):22511-9. doi: 10.1609/aaai.v38i20.30259.
4. Al-Fraihat D, Joy M, Masa'deh R, Sinclair J. Evaluating E-learning systems success: An empirical study. Computers in Human Behavior. 2020;102:67-86. doi: 10.1016/j.chb.2019.08.004.
5. Ashrafi S, Heydarnejad F. Exploring the effectiveness of learners in participating in Massive Open Online Courses (MOOCs). Journal of Information Technology and Communication in Educational Sciences. 2021;12(1):45-66.
6. Hidayat DR, Hamrat N, editors. Psychometric Properties and Construct Validity of Online Learning Readiness Scale (OLRS) Indonesian Version. 2020 6th International Conference on Education and Technology (ICET); 2020.
7. Hong JC, Lee YF, Ye JH. Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences. 2021;174:110673. doi: 10.1016/j.paid.2021.110673.
8. Vahedi M. The impact of the effectiveness of electronic teaching on self-regulated teaching strategies and instructors' behavioral intention towards online teaching: The mediating role of motivational beliefs. Bi-monthly Scientific-Research Journal of Educational Strategies in Medical Sciences. 2020;13(2):142-33.
9. Poon WC, Kunchamboo V, Koay KY. E-Learning Engagement and Effectiveness during the COVID-19 Pandemic: The Interaction Model. International Journal of Human–Computer Interaction. 2024;40(2):393-408. doi: 10.1080/10447318.2022.2119659.
10. Mugizi W, Rwothumio J. Universities’ capabilities and effective implementation of e-learning in public universities in kampala city, uganda. UHERJ. 2023;10(2):68-86.
11. Rahimzadeh L, Gilakjani AP. Investigating the Effectiveness of Blended Learning in Reading Proficiency: Evidence From Intermediate EFL Learners. Knowledge Management & E-Learning an International Journal. 2022:489-509. doi: 10.34105/j.kmel.2022.14.025.
12. Sukri U. Facing the Challenges of Online Learning: Pedagogic Competence of Lecturers in Religious Colleges. Jitir. 2025;2(3):140-51. doi: 10.59613/74cdrz93.
13. Umar M, Ko I. E-learning: Direct effect of student learning effectiveness and engagement through project-based learning, team cohesion, and flipped learning during the COVID-19 pandemic. Sustainability. 2022;14(3):1724. doi: 10.3390/su14031724.
14. Lu JL, Zhu S, Wang R, Liu T. Exploring the Influencing Factors of Learning Burnout: A Network Comparison in Online and Offline Environments. Behavioral Sciences. 2025;15(7):903. doi: 10.3390/bs15070903.
15. Zhao S. Collaborative Virtual Learning Environments: A Structure for Designing Digital Educational Materials. International Journal of Interactive Mobile Technologies (Ijim). 2024;18(23):4-14. doi: 10.3991/ijim.v18i23.51373.
16. Shariati F, Niazazari K, Jabbary N. Presenting a Model for Virtual Education Considering Educational Equity with a Phenomenological Approach in Schools of Golestan Province. Iranian Journal of Educational Sociology. 2024;7(1):66-78. doi: 10.61838/kman.ijes.7.1.7.
17. Salloum SA, Al-Emran M, Shaalan K, Tarhini A. Factors affecting the E-learning acceptance: A case study from UAE. Education and Information Technologies. 2019;24(1):509-30. doi: 10.1007/s10639-018-9786-3.
18. Zare M, Nili MR, Ali Abadi K, Zarei Zavarki E, Asgari M. The effectiveness of a blended e-learning design model on academic performance of Farhangian University students. Educational and Instructional Studies. 2024(40):126-36.
19. Thomas D. The Relationship among Academic Dishonesty, E-learning Readiness, and Procedural Justice. Human Behavior, Development and Society. 2021;22(3).
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2026 Somayeh Khodarahmi; Toraj Hassanirad, Nooshafarin Safari, Hossein Hafezi (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.