References
Aflaki, M., Karimi, F., and Mozaffari, S. (2014). Investigating the effect of intelligent language teaching systems on English language learning. Quarterly Journal of Research in Foreign Language Teaching, 12(3), 45–60. [in Persian]
Alimohammadi, S., Karimi, R., & Nasiri, M. (2022). Analyzing school principals’ perspectives on the use of artificial intelligence in educational management. Journal of Research in Educational Management, 10(2), 55–72. [in Persian]
Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics. US Department of Education.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications.
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
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE.
Floridi, L., & Cowls, J. (2020). A unified framework of five principles for AI in society. Harvard Data Science Review, 2(1). https://doi.org/10.1162/99608f92.8cd550d1
Fullan, M., & Langworthy, M. (2014). A rich seam: How new pedagogies find deep learning. Pearson.
Ghafari Mejlej, M. (2024). A Qualitative analysis of teachers' beliefs about student evaluation and its relationship with academic failure: A case study of elementary teachers in Kelardasht. Innovation in Teaching, Learning and Evaluation, 1(1), 15-28. https://doi.org/10.22034/jitle.2024.200364
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Koedinger, K. R., & Corbett A. T. (2006). Cognitive tutors: Technology bringing learning science to the classroom. In R. K. Sawyer (Ed.) , The Cambridge handbook of the learning sciences (pp. 61-77). Cambridge University Press.
Lee, J., & Kim, H. (2020). Understanding managerial acceptance of artificial intelligence in education. Computers & Education, 148, 103809. https://doi.org/10.1016/j.compedu.2019.103809
Li, W., Zhao, Y., Wang, J., & Liu, Q. (2020). Artificial Intelligence–based personalized learning in education: A review. IEEE Access, 8, 187531-187545.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Mandinach, E. B., & Gummer, E. S. (2016). Data literacy for educators: Making it count in teacher preparation and practice. Teachers College Press.
Merriam, S. B., & Tisdell, E. J. (2016). Qualitative Research: A Guide to Design and Implementation (4th ed.). Jossey-Bass.
Qasemi, F. (2024). The relationship between individual characteristics, school conditions and teachers' motivation for professional development: The case of schools of Nour County. Innovation in Teaching, Learning and Evaluation, 1(1), 29-44. https://doi.org/10.22034/jitle.2024.469343.1005
Rezaei, F. (2021). Investigating the application of artificial intelligence in the education system. First National Conference on Applied Studies in Educational Processes, Bandar Abbas, IRAN. [in Persian]
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Safdari, S. (2021). Phenomenology of EFL teacher leadership from the viewpoint of college language learners. Journal of New thoughts on Education, 17(3), 202-222. (in Persian)
Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational Research, 61(3), 257–273. https://doi.org/10.1080/00131881.2019.1625716
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Siemens, G., & Gašević, D. (2019). Learning analytics: Leveraging big data to support learning in higher education. In Handbook of learning analytics (pp. 23-40). Society for Learning Analytics Research.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
VanLehn, K. (2019). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 54(4), 215- 234.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995
Woolf, B. P. (2020). AI in education. Springer.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
Zhang, K., Zhang, Y., & Luo, X. (2021). The future of artificial intelligence in education: Perspectives from China. Educational Philosophy and Theory, 53(10), 945–958.
Zhang, L., Zhao, H., & Lu, Y. (2023). Integrating AI into educational management: Opportunities and challenges. Journal of Educational Administration, 61(3), 441–458. https://doi.org/10.1108