EN
Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study
Abstract
This study aims to adapt a scale measuring teachers' trust in AI-based educational technology into Turkish and to examine its validity and reliability. Data were collected from 231 teachers across various subject areas, including biology, chemistry, geography, language, mathematics, physics, and science. Following the assessment of univariate and multivariate normality, Confirmatory Factor Analysis (CFA) and reliability analyses were conducted. Mardia's multivariate kurtosis test indicated a violation of multivariate normality. Maximum Likelihood (ML) estimation was retained for the CFA, while bias-corrected bootstrap confidence intervals and the Bollen–Stine bootstrap procedure were used to evaluate the robustness of parameter estimates and model fit under non-normality. The initial 24-item, eight-factor model was revised based on the CFA findings, resulting in a 21-item, six-factor structure. The revised model was supported by most fit indices (χ² = 340.179, df = 174, χ²/df = 1.955, CFI = 0.903, RMSEA = 0.064), although the TLI value (0.883) was below the conventional .90 threshold. The six subdimensions were Perceived Benefits of AI-based EdTech; Lack of Human Characteristics of AI-based EdTech; Anxieties Related to Using AI-based EdTech; Self-efficacy in Using AI-based EdTech; Preferred Means to Increase Trust in AI-based EdTech; and AI-based EdTech vs Human Advice/Recommendation. Reliability evidence was stronger for four of the six subdimensions, whereas F2 and particularly F3 showed comparatively weaker internal consistency and convergent validity evidence. Overall, the findings provide initial support for the six-factor Turkish adaptation while indicating that the weaker subdimensions and the revised factor structure require further examination in independent samples.
Keywords
Ethical Statement
This study is a scale adaptation study involving the collection of data from human participants. The research protocol was reviewed and approved by the Ethics Committee of Recep Tayyip Erdoğan University (Decision No. 2024/139, dated April 17, 2024). Prior to data collection, informed consent was obtained from all participants. Participants were informed that their participation was entirely voluntary and that they could withdraw from the study at any time without facing any negative consequences. Participants' identities were kept confidential, and the data collected were used solely for scientific research purposes. The study was conducted in accordance with the ethical principles governing scientific research.
Thanks
We would like to express our sincere gratitude to the developers of the original scale for granting permission to adapt it into Turkish and for their valuable support throughout the adaptation process. We also extend our heartfelt thanks to all the participants who voluntarily took part in the study and contributed to the data collection process.
References
- Akkaya, B., Özkan, A., & Özkan, H. (2021). Yapay zekâ kaygı (YZK) ölçeği: Türkçeye uyarlama, geçerlik ve güvenirlik çalışması [Artificial intelligence anxiety (AIA) scale: Adaptation to Turkish, validity and reliability study]. Alanya Akademik Bakış, 5(2),1125-1146. https://doi.org/10.29023/alanyaakademik.833668.
- Alan, B., Keçeci, G., & Kırbağ Zengin, F. (2025). Öğretmenler için yapay zekâ tutum ölçeği: Geçerlik ve güvenirlik çalışması [Artificial intelligence attitude scale for teachers: Validity and reliability study]. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 63, 120-149. https://doi.org/10.9779/pauefd.1418456
- Ayanwale, M. A., Adelana, O. P., & Odufuwa, T. T. (2024). Exploring STEAM teachers’ trust in AI-based educational technologies: A structural equation modelling approach. Discover education, 3(1), 44. https://doi.org/10.1007/s44217-024-00092-z.
- Bach, T. A., Khan, A., Hallock, H., Beltrão, G., & Sousa, S. (2024). A systematic literature review of user trust in AI-enabled systems: An HCI perspective. International Journal of Human–Computer Interaction, 40(5), 1251-1266. https://doi.org/10.1080/10447318.2022.2138826.
- Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191.
- Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3),588–606. https://doi.org/10.1037/0033-2909.88.3.588.
- Bentler, P. M. (2006). EQS 6 structural equations program manual. Multivariate Software.
- Bollen, K. A. (1989). Structural equations with latent variables. Wiley.
Details
Primary Language
English
Subjects
Instructional Technologies, Educational Technology and Computing
Journal Section
Research Article
Publication Date
September 30, 2026
Submission Date
August 13, 2026
Acceptance Date
September 29, 2026
Published in Issue
Year 2026 Volume: 9 Number: 3
APA
Yüksel, T., Han Tosunoğlu, Ç., Canbazoğlu Bilici, S., & Keleş, C. (2026). Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study. Journal of Educational Technology and Online Learning, 9(3), 582-605. https://doi.org/10.31681/jetol.2017119
AMA
1.Yüksel T, Han Tosunoğlu Ç, Canbazoğlu Bilici S, Keleş C. Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study. JETOL. 2026;9(3):582-605. doi:10.31681/jetol.2017119
Chicago
Yüksel, Tuğba, Çiğdem Han Tosunoğlu, Sedef Canbazoğlu Bilici, and Ceyda Keleş. 2026. “Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A Validity and Reliability Study”. Journal of Educational Technology and Online Learning 9 (3): 582-605. https://doi.org/10.31681/jetol.2017119.
EndNote
Yüksel T, Han Tosunoğlu Ç, Canbazoğlu Bilici S, Keleş C (September 1, 2026) Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study. Journal of Educational Technology and Online Learning 9 3 582–605.
IEEE
[1]T. Yüksel, Ç. Han Tosunoğlu, S. Canbazoğlu Bilici, and C. Keleş, “Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study”, JETOL, vol. 9, no. 3, pp. 582–605, Sept. 2026, doi: 10.31681/jetol.2017119.
ISNAD
Yüksel, Tuğba - Han Tosunoğlu, Çiğdem - Canbazoğlu Bilici, Sedef - Keleş, Ceyda. “Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A Validity and Reliability Study”. Journal of Educational Technology and Online Learning 9/3 (September 1, 2026): 582-605. https://doi.org/10.31681/jetol.2017119.
JAMA
1.Yüksel T, Han Tosunoğlu Ç, Canbazoğlu Bilici S, Keleş C. Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study. JETOL. 2026;9:582–605.
MLA
Yüksel, Tuğba, et al. “Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A Validity and Reliability Study”. Journal of Educational Technology and Online Learning, vol. 9, no. 3, Sept. 2026, pp. 582-05, doi:10.31681/jetol.2017119.
Vancouver
1.Tuğba Yüksel, Çiğdem Han Tosunoğlu, Sedef Canbazoğlu Bilici, Ceyda Keleş. Adaptation of the Teachers’ Trust in Artificial Intelligence–based Educational Technologies Scale into Turkish: A validity and reliability study. JETOL. 2026 Sep. 1;9(3):582-605. doi:10.31681/jetol.2017119