Introduction and Validation of a Scale Assessing Teachers' Perceptions of the Use of Artificial Intelligence in Education

Document Type : Original Article

Authors

1 Assistant Professor, Department of Educatiinal Sciences, Farhangian University, Tehran, Iran

2 Assistant Professor, Department of Educational Sciences, Faculty of Literature and Humanities, University of Qom, Qom, Iran

10.22091/jrim.2025.13695.1361

Abstract

The aim of this study was to introduce and validate the measurement tool "Teachers' Perception of the Use of Artificial Intelligence in Education". The research method was a descriptive survey. The statistical population was third and fourth year student teachers of Farhangian University of Kurdistan Province. Using the available sampling method, a sample of 321 people was selected. The data collection tool was the 15-item scale of teachers' perception of the use of artificial intelligence in education, which was developed by Ozum et al. (2025). Data analysis was performed using exploratory factor analysis, confirmatory factor analysis, Cronbach's alpha coefficient, and one-sample t-test. The results of the exploratory factor analysis showed that the Persian version of the scale is exactly the same as the factor structure of the original version, which can be reduced to three subscales. Therefore, following the original version, these subscales were named “Perception of Teaching”, “Perception of Learning” and “Perception of Ethical Issues”, respectively. The results of confirmatory factor analysis also indicated a good fit of the three-dimensional model of teachers’ perception of the use of AI in education. The results of the reliability study showed that the reliability of the entire scale was confirmed with a coefficient of 0.89. The reliability of the subscales was also in the range of 0.75 to 0.89. Other findings indicated the positive perception of the sample individuals of the use of AI in education. Based on the research findings, the Persian version of the Teachers’ Perception of the Use of AI in Education Scale in the Iranian sample studied has appropriate validity and reliability, and this tool can be used in future research.

Keywords


Abdulhakovna, E.D. (2025). The Essence of Integrating Artificial Intelligence into The Education System. International Journal of Pedagogics. https://doi.org/10.37547/ijp/volume05issue04-65
Abyaz, A. A. (2024). The role of artificial intelligence in transforming the primary education system: Examining challenges and providing practical solutions. The 2nd International Conference on Modern Research in Education and Schools with a Perspective on Progress and Development, Bu-Ali Sina Research Association, Hamedan, Iran.
Ahuja, V. (2019). Artificial intelligence (AI) in drug discovery and medicine. J Clin Cases Rep, 2(3), 76-80. https://doi.org/10.46619/joccr.2019.2-1043
Ali, M., Rehman, S., & Cheema, E. (2025). Impact of artificial intelligence on the academic performance and test anxiety of pharmacy students in objective structured clinical examination: a randomized controlled trial. International Journal of Clinical Pharmacy, 1-8. https://doi.org/10.1007/s11096-025-01876-5
Amofa, B., Kamudyariwa, X. B., Fernandes, F. A. P., Osobajo, O. A., Jeremiah, F., & Oke, A. (2025). Navigating the Complexity of Generative Artificial Intelligence in Higher Education: A Systematic Literature Review. Education Sciences, 15(7), 826. https://doi.org/10.3390/educsci15070826
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(5), 616–630. https://doi.org/10.1007/s11528-022-00715-y
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Dameruppula, S. (2025). The Evolution and Impact of Artificial Intelligence and Machine Learning: A Technical Overview. International Journal of Advanced Research in Science, Communication and Technology. https://doi.org/10.48175/ijarsct-24609
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Deci, E. L., & Ryan, R. M. (2012). Self-determination theory. Handbook of theories of social psychology, 1(20), 416-436.
Derinalp, P., & Ozyurt, M. (2024). Adaptation of the Student Attitudes Toward Artificial Intelligence Scale to the Turkish Context: Validity and Reliability Study. International Journal of Human–Computer Interaction, 41(8), 4653–4667. https://doi.org/10.1080/10447318.2024.2352921
Fahreni, R., Ali, H. S., & Daud, A. (2024). Teachers’ perspective on the use of artificial intelligence in teaching and learning process: A systematic literature review. Scope: Journal of English Language Teaching, 9(1), 417-423. https://doi.org/10.30998/scope.v9i1.21785
Falebita, O. S., & Kok, P. J. (2024). Artificial intelligence tools usage: A structural equation modeling of undergraduates’ technological readiness, self-efficacy and attitudes. Journal for STEM Education Research, 1-26. https://doi.org/10.1007/s41979-024-00132-1
Gayed, J. M. (2025). Educators’ perspective on artificial intelligence: equity, preparedness, and development. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2024.2447169
Gómez Cano, C. A., & Colala Troya, A. L. (2023). Artificial Intelligence applied to teaching and learning processes. 1, 2. https://doi.org/10.62486/latia20232
Grassini, S. (2023). Development and validation of the AI Attitude Scale (AIAS-4): A brief measure of general attitude toward artificial intelligence. Frontiers in Psychology, 14, 1191628. https://doi.org/10.3389/fpsyg.2023.1191628
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115
Yilmaz, F. G. K., Yilmaz, R., & Ceylan, M. (2024). Generative artificial intelligence acceptance scale: A validity and reliability study. International Journal of Human–Computer Interaction40(24), 8703-8715. https://doi.org/10.1080/10447318.2023.2288730
Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir-Kaya, M. (2022). The roles of personality traits, AI anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 40(2), 497–514. https://doi.org/10.1080/10447318.2022.2151730
Kieslich, K., Lünich, M., & Marcinkowski, F. (2021). The threats of artificial intelligence scale (TAI): Development, measurement, and test over three application domains. International Journal of Social Robotics, 13(7), 1563–1577. https://doi.org/10.1007/s12369-020-00734-w
Lee, Y. J., Davis, R. O., & Ryu, J. (2024). Korean in-service teachers’ perceptions of implementing artificial intelligence (AI) education for teaching in schools and their AI teacher training programs. International Journal of Information and Education Technology, 14(2), 214-219.https://doi.org/10.18178/ijiet.2024.14.2.2042
Majkić, Z., & Vranješ, D. (2024). The Integration of Artificial Intelligence across Educational Levels: From Primary School to University. 10th International Scientific Conference Technics, Informatic, and Education. https://doi.org/10.46793/tie24.391m
Moor, J. H. (2005). Why we need better ethics for emerging technologies. Ethics and information technology, 7(3), 111-119. https://doi.org/ 10.1007/s10676-006-0008-0
Morales-García, W.C., Sairitupa-Sanchez, L.Z., Morales-García, S.B., & Morales-García, M. (2024). Adaptation and psychometric properties of a brief version of the general self-efficacy scale for use with artificial intelligence (GSE-6AI) among university students. Frontiers in Education. https://doi.org/10.3389/feduc.2024.1293437
Muggleton, S. (2014). Alan Turing and the development of Artificial Intelligence. AI communications, 27(1), 3-10. https://doi.org/10.3233/AIC-130579
Nasni Naseri, R.N., & Abdullah, R.N. (2025). Transforming Education with AI: Insights from Developed Countries. International Journal of Research and Innovation in Social Science. https://doi.org/10.47772/ijriss.2025.90300308
Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: A new era has begun. Small Business Economics, 55(2), 529–539. https://doi.org/10.1007/s11187-019-00202-4
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia journal of mathematics, science and technology education, 19(8), em2307. https://doi.org/10.29333/ejmste/13428
Panigrahi, A., & Joshi, V. (2020). Use of Artificial Intelligence in Education. The Management Accountant Journal, 55(5), 64–67. https://doi.org/10.33516/maj.v55i5.64-67p
Panjani, H., & Mudgal, P.D. (2024). AI(Artificial Intelligence) Integration in Education: Teachers’ Perspectives, Professional Development and Policy Recommendations. Journal of Information Systems Engineering and Management. https://doi.org/10.52783/jisem.v9i4s.10602
Polydoros, G., Galitskaya, V., Pergantis, P., Drigas, A., Antoniou, A. S., & Beazidou, E. (2025). Innovative AI-Driven Approaches to Mitigate Math Anxiety and Enhance Resilience Among Students with Persistently Low Performance in Mathematics. Psychology International7(2), 46. https://doi.org/10.3390/psycholint7020046
Rajabiyan Dehzireh, M. (2024). Identifying the challenges and capabilities of artificial intelligence in teaching and learning by providing solutions. Technical Education Journal, 18(4), 921-950. https://doi.org/10.22061/tej.2024.10777.3058 [In Persian].
Rashid, A. B., & Kausik, M. A. K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277https://doi.org/10.1016/j.hybadv.2024.100277
Rostaminezhad, M. A., & Khajeh, H. (2025). A phenomenological analysis of primary school teachers' perception of ChatGPT integration in education. Journal of Educational Planning and Studies, 13(26), 198-220. https://doi.org/10.22080/eps.2025.28671.2322 [In Persian].
Sachdeva, A. (2023). Artificial intelligence in dentistry-a literature review. Biomedical Journal of Scientific & Technical Research, 51(1), 42323-42326. DOI: 10.26717/BJSTR.2023.51.008050
Schellenberg, S. (2018). The Unity of Perception. Oxford Scholarship Online https://doi.org/10.1093/OSO/9780198827702.001.0001
Singh, G., & Thakur, A. (2024). AI in education: Ethical challenges and opportunities. In The ethical frontier of AI and data analysis (pp. 21). IGI Global. https://doi.org/10.4018/979-8-3693-2964-1.ch002
Stankovski, S., & Ostojić, G. (2024). How ready are we to apply artificial intelligence? Veštačka inteligencija-praktična primena i izazovi, (Papers), 109-118. https://doi.org/10.5937/vi24109s
Toivanen, J. (2018). Perceptual Experience: Assembling a medieval puzzle. In Philosophy of Mind in the Early and High Middle Ages (pp. 134-156). Routledge.https://doi.org/10.4324/9780429508196-7
Üzüm, B., Elçiçek, M., & Pesen, A. (2025). Development of teachers’ perception scale regarding artificial intelligence use in education: validity and reliability study. International Journal of Human–Computer Interaction, 41(5), 2776-2787. https://doi.org/10.1080/10447318.2024.2385518.
Vančová, H. (2023). AI and AI-powered tools for pronunciation training. Journal of Language and Cultural Education, 11(3), 12–24. https://doi.org/10.2478/jolace-2023-0022
Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768
Wang, Y. Y., & Chuang, Y. W. (2023). Artificial intelligence self-efficacy: Scale development and validation. Education and Information Technologies, 29(4), 4785–4808. https://doi.org/10.1007/s10639-023-12015-w
Zencirli, B. T., & Altin, M. (2025). The impact of artificial intelligence on workplace dehumanization: a critical review. Journal of Hospitality and Tourism Horizons, 1 (2): 128–149. https://doi.org/10.1108/JHTH-01-2025-0014
Zhou, C. (2024). Teacher’s Perceptions of Applying Artificial Intelligence in Education: A Systematic Review. World J Soc Sci Res, 11(3), 62-72. https://doi.org/10.22158/wjssr.v11n3p62