Ahmadi Fatalaki, J., Saeedi, Z., Sheikhzadeh Marand, E., & Nasiri Firuz, A. R. (2025). Artificial intelligence in education and EFL teachers’ attitudes: scale development and validation. Innovation in Language Learning and Teaching, 1–17. https://doi.org/10.1080/17501229.2025.2494823
Alasmari, T. (2024). Acceptance factors of generative AI in EFL teaching: A pedagogical perspective. Journal of Education, Teaching and Learning, 9(2), 196-211.
Alghasab, M. B. (2025). English as a foreign language (EFL) secondary school students’ use of artificial intelligence (AI) tools for developing writing skills: unveiling practices and perceptions. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2505304
Alhalangy, A., & AbdAlgane, M. (2023). Exploring The Impact of AI on The EFL context: A case study of Saudi universities. Journal of Intercultural Communication, 23(2), 41-49.
Alruwaili, A. R., Kianfar, Z., & Azari Noughabi, M. (2025). Exploring EFL teachers’ motivation and influential factors in adopting AI for language teaching. Language Related Research, 16(5), 93-124. https://10.48311/LRR.16.5.4
Ayllón, S., Alsina, Á., & Colomer, J. (2019). Teachers' involvement and students' self-efficacy: Keys to achievement in higher education. PLOS ONE, 14 (5). https://doi.org/10.1371/journal.pone.0216865
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
Bektaş-Çetinkaya, Y. (2020). Writing self-efficacy in English as a foreign language: Turkish Context. International Journal of Language Studies, 14(2), 89-102.
Bhise, A., Munshi, A., Rodrigues, A., & Sawant, V. (2022). Overview of AI in education. In Artificial intelligence in higher education (pp. 31-62). CRC Press.
Blasco, J. A. (2016). The relationship between writing anxiety, writing self-efficacy, and Spanish EFL students’ use of metacognitive writing strategies: A case study. Journal of English Studies, 14, 7-45.
Cahyono, B. Y., & Rahayu, T. (2020). EFL students' motivation in writing, writing proficiency, and gender. TEFLIN Journal: A Publication on the Teaching & Learning of English, 31(2), 318–333. https://doi.org/10.15639/teflinjournal.v31i2/318-333
Choi, E., & Lee, J. (2018). EFL teachers’ self-efficacy and teaching practices. ELT Journal, 72(2), 175-186.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Du, Y., & Gao, H. (2022). Determinants affecting teachers’ adoption of AI-based applications in EFL context: An analysis of analytic hierarchy process. Education and Information Technologies, 27 (7), 9357–9384.
Farahian, M., & Rezaee, M. (2025). Bridging technology and confidence: Linking AI acceptance to writing self-efficacy among English instructors. Applied Linguistics Inquiry, 4 (1), 95-110. https://doi.org/10.22077/ali.2025.9184.1127
Felix, C. V. (2020). The role of the teacher and AI in education. In International perspectives on the role of technology in humanizing higher education (pp. 33-48). Emerald Publishing Limited.
Fereidouni, P., & Farahian, M. (2024). Is ChatGPT a cure all? Demystifying the impact of using ChatGPT on EFL learners’ writing skill. Applied Linguistics Inquiry, 2(1), 89-103. https://doi: 10.22077/ali.2024.8389.1051
Fu, C., Wang, X., & Gao, Y. (2024). EFL teachers' burnout in technology enhanced instructions setting: The role of personality traits and psychological capital. Acta Psychologica, 249. https://doi.org/10.1016/j.actpsy.2024.104310
Guilherme, A. (2019). AI and education: the importance of teacher and student relations. AI & society, 34(1), 47-54.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
He, Y. (2024). The metaphor of AI in writing in English: A reflection on EFL learners’ motivation to write, enjoyment of writing, academic buoyancy, and academic success in writing. The International Review of Research in Open and Distributed Learning, 25(3), 271–286. https://doi.org/10.19173/irrodl.v25i3.7769
Hidi, S., & Boscolo, P. (2006). Motivation and Writing. In C. A. MacArthur, S. Graham, & J. Fitzgerald (Eds.), Handbook of writing research (pp. 144–157). The Guilford Press.
Hu, S. (2024). The effect of artificial intelligence-assisted personalized learning on student learning outcomes: A meta-analysis based on 31 empirical research papers. Science Insights Education Frontiers, 24(1):3873-3894.
Huang, F., Wang, Y., & Zhang, H. (2024). Modelling generative AI acceptance, perceived teachers' enthusiasm and self‐Efficacy to English as a foreign language learners' well‐being in the digital era. European Journal of Education, 59(4). https://doi.org/10.1111/ejed.12770
Işık, E. (2010). Career decision self-efficacy among Turkish undergraduate students. Electronic Journal of Research in Educational Psychology, 8(2), 749–762. https://doi.org/10.25115/ojmp.0821.1394
Jiang, R. (2022). How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context. Frontiers in Psychology, 13, 1049401.
Kafi, Z., Salehi, F., & Mostafaei, K. (2025). Investigating teachers' stand about AI application in teaching: Are there any other moderating factors? The International Journal of Practical and Pedagogical Issues in English Education. https://doi.org/10.22034/ijpie.2025.542312.1129
Kashef, S. H., & Khabazian, F. (2026). Book Review of AI-powered English teaching (2025). IGI Global. TESOL in Context, 35(2). https://doi.org/10.21153/tesol2026vol35no2art2273
Khojasteh, L., Shokrpour, N., & Afrasiabi, M. (2016). The relationship between writing self-efficacy and writing performance of Iranian EFL students. International Journal of Applied Linguistics and English Literature, 5(4), 29-37.
Khosravi, M., Ghoorchaei, B., & Arabmofrad, A. (2017). The relationship between writing strategies, self-efficacy and writing ability: A case of Iranian EFL students. International Journal of English Language & Translation Studies, 5(3), 96-102.
Kizilcec, R. F. (2024). To advance AI use in education, focus on understanding educators. International Journal of Artificial Intelligence in Education, 34(1), 12-19.
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.
Liu, Y., & Chang, P. (2024). Exploring EFL teachers’ emotional experiences and adaptive expertise in the context of AI advancements: A positive psychology perspective. System, 126. https://doi.org/10.1016/j.system.2024.103463
Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2236469
Mitchell, T. R. (1982). Motivation: New directions for theory, research, and practice. Academy of Management Review, 7, 80–88.
Moazami Godarzi, F., Heidari Tabrizi, H., & Chalak, A. (2025). Impact of technology-enhanced personalized language learning on Iranian EFL learners' speaking skill: An introduction to Innovative Choice Learning Theory (ICLT). The International Journal of Practical and Pedagogical Issues in English Education. https://doi.org/10.22034/ijpie.2025.553906.1149
Mohebiamin, A., Rabiei, M., Kayzouri, A. H. and Mohammadi Hoseini, S. A. (2022). Investigating the Relationship Between Self-Efficacy and Creativity with Organizational Silence of Elementary School Teachers. School Administration, 10(3), 133-147. doi: https://www.doi.org/10.34785/J010.2022.035
Pan, Z., & Wang, Y. (2025). From technology‐challenged teachers to empowered digitalized citizens: Exploring the profiles and antecedents of teacher AI literacy in the Chinese EFL context. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.70020
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Ramadan, F., Sari, P. K., & Murti, Y. R. (2025). Examining students’ motivation to continue using AI‑chatbot for academic assignment. Journal System Information, 20(2). https://doi.org/10.21609/jsi.v20i2.1417
Rastegar, M., & Memarpour, S. (2009). The relationship between emotional intelligence and self-efficacy among Iranian EFL teachers. System, 37(4). https://doi.org/10.1016/j.system.2009.09.013
Seong, M., & Kim, Y. (2024). Impact of motivation factors for using generative AI services on continuous use intention: Mediating trust and acceptance attitude. Societies, 13(9), 475. https://doi.org/10.3390/socsci13090475MDPI
Shengyao, Y., Salarzadeh Jenatabadi, H., Mengshi, Y., Minqin, C., Xuefen, L., & Mustafa, Z. (2024). Academic resilience, self-efficacy, and motivation: The role of parenting style. Scientific reports, 14(1), 5571.
Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. Atlantis Press SARL. https://doi.org/10.2991/assehr.k.220201.024
Tahiru, F. (2021). AI in education: A systematic literature review. Journal of Cases on Information Technology, 23 (1), 1–20. https://doi.org/10.4018/JCIT.2021010101
Tanyer, S. (2015). The role of writing and reading self-efficacy in first-year preservice EFL teachers’ writing performance. Procedia-Social and Behavioral Sciences, 199, 38-43.
Teng, M. F., & Wang, C. (2023). Assessing academic writing self-efficacy belief and writing performance in a foreign language context. Foreign Language Annals, 56 (1), 144–169. https://doi.org/10.1111/flan.12638
Tram, N. H. M., & Tran-Thanh, V. (2024). The role of supportive environments in shaping EFL teachers’ adoption of ChatGPT. In Innovations in technologies for language teaching and learning (pp. 55-78). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-63447-5_4
Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of educational research, 78(4), 751-796.
Vonkova, H., Jones, J., Moore, A., Altinkalp, I., & Selcuk, H. (2021). A review of recent research in EFL motivation: Research trends, emerging methodologies, and diversity of researched populations. System, 103, 102622. https://doi.org/10.1016/j.system.2021.102622
Yokoyama, S. (2019). Academic self-efficacy and academic performance in online learning: A mini review. Frontiers in Psychology, 9, Article 2794. https://doi.org/10.3389/fpsyg.2018.02794
Yu, S., Jiang, L., & Zhou, N. (2020). Investigating what feedback practices contribute to students’ writing motivation and engagement in Chinese EFL context: A large scale study. Assessing Writing, 44, 100451.
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M. & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1). https://doi.org/10.1155/2021/8812542
Zhang, Y., & Guo, H. (2012). A study of English writing and domain-specific motivation and self-efficacy of Chinese EFL learners. Journal of Pan-Pacific Association of Applied Linguistics, 16(2).
Zhi, R., Wang, Y., & Derakhshan, A. (2024). On the role of academic buoyancy and self-efficacy in predicting teachers’ work engagement: A case of Chinese English as a foreign language teachers. Perceptual and Motor Skills, 131(2), 612–629. https://doi.org/10.1177/00315125231222398