اسدزاده، احمد، مهدیون، روح اله و یارمحمدزاده، پیمان. (1400). شناسایی موانع استفاده از فناوری اطلاعات و ارتباطات در فعالیت های آموزشی دانشجویان (مطالعه موردی دانشگاه ارومیه).
علوم و فنون مدیریت اطلاعات، 7(2 )، 175-198. SID.
https://sid.ir/paper/1005872/fa
امانی، حسین؛ مطلبی نژاد، علیرضا؛ چوپانی، فاطمه و زارع گاچی، محمد. (1403). بررسی تحلیلی سیستماتیک از اثرات کاربرد چت جی پی تی در آموزش، فصلنامه علمی فناوری و دانش پژوهی در تعلیم و تربیت، 4 (2)، 9-23.
تقوایی یزدی، مریم، گل افشانی، علی، آقامیرزایی محلی، طاهره، آقاتباررودباری، جمیله، و یوسفی سعیدآبادی، رضا. (1398). بررسی وضعیت بکارگیری فناوری اطلاعات و ارتباطات و تاثیر آن بر عملکرداعضای هیات علمی.
پژوهش در آموزش علوم پزشکی، 11(2 )، 64-73. SID.
https://sid.ir/paper/389040/fa
خورسندی طاسکوه، علی، جامهبزرگ، زهرا، عسکری، امیر. (۱۴۰2). روند تکنولوژیهای نوین در یادگیری و آموزش: با تأکید بر چالشها و سیاستهای موردنیاز در عصر پساکرونا.
فناوریهای آموزشی در یادگیری، 5 ( ۱۹ ،)۱06 - ۱2۸ .
https://doi.org/10.22054/jti.2023.72262.1364
زنجانی، محمدعلی، عابدی، حسین، و نظری قزوینی، سمیرا. (1397). بررسی عوامل قصد استفاده از شبکه های اجتماعی بر اساس تئوری های میزان پذیرش فناوری و شناخت شبکه اجتماعی در میان کاربران.
کنفرانس ملی اندیشه های نوین و خلاق در مدیریت، حسابداری، مطالعات حقوقی و اجتماعی. SID.
https://sid.ir/paper/898279/fa
ذاکری، علیرضا، خواجه لو، صالح رشید، افرایی، هادی، و زنگویی، شهناز. (1390). بررسی نگرش معلمان نسبت به کاربرد فناوری های آموزشی در فرآیند تدریس.
فناوری آموزش (فناوری و آموزش)، 6(2)، 159-165. SID.
https://sid.ir/paper/155394/fa
عزیزی, مصطفی, ایزدی, صمد, بابائیان, فیروزه. (1399). بررسی موانع پذیرش و به کارگیری فناوری اطلاعات و ارتباطات در مدارس ابتدایی . دوماهنامه علمی - پژوهشی رهیافتی نو در مدیریت آموزشی، 11 (41)، 117-134.
مطلبی‌نژاد، علیرضا، فاضلی، فرزانه و الهام نوائی (1402)، بررسی نظام‌مند نویدها و چالش‌های هوش مصنوعی برای معلمان، فصلنامه فناوری و دانش‌پژوهی در تعلیم و تربیت،3(1).44-23.
Akimov, N. Kurmanov, N. Uskelenova, A. Aidargaliyeva, N. Mukhiyayeva, D. Rakhimova, S. Raimbekov, B. Utegenova, Z. (2023). Components of education 4.0 in open innovation competence frameworks: Systematic review, Journal of Open Innovation: Technology, Market, and Complexity, Vol. 9, 100037, https://doi.org/ 10.1016/j.joitmc.2023.100037.
Al-Abdullatif, A. M. (2023). Modeling Students’ perceptions of chatbots in learning: Integrating technology acceptance with the value-based adoption model. Education Sciences, 13(11), 1151.
Al Darayseh, A. (2023). Acceptance of artificial intelligence in teaching science: Science teachers' perspective. Computers and Education: Artificial Intelligence, 4, 100132.
Almahri, F. A. J. Bell, D & Merhi, M. (2020, March). Understanding student acceptance and use of chatbots in the United Kingdom universities: a structural equation modelling approach. In 2020 6th International Conference on Information Management (ICIM) (pp. 284-288). IEEE.
Alzahrani, L. (2023). Analyzing students’ attitudes and behavior toward artificial intelligence technologies in higher education. International Journal of Recent Technology and Engineering (IJRTE), 11(6), 65-73.
Bervell, B & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogeneous variables in higher education technology acceptance research. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6471-6490.
Bhatia, P. (2023). ChatGPT for Academic Writing: A Game Changer or a Disruptive Tool? Journal of Anaesthesiology Clinical Pharmacology, 39(1), 1. https:// doi.org/10.4103/joacp.joacp_84_23
Cabero-Almenara, J. Palacios-Rodríguez, A. Loaiza-Aguirre, M. I & Rivas-Manzano, M. D. R. D. (2024). Acceptance of educational artificial intelligence by teachers and its relationship with some variables and pedagogical beliefs. Education Sciences, 14(7), 740.
Cai, Z. Fan, X & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in psychology, 10, 1652.
Chatterjee, S & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25, 3443-3463.
Chiu, T. K. F & Churchill, D. (2016). Adoption of mobile devices in teaching: Changes in teacher beliefs , attitudes, attitudes and anxiety. Interactive Learning Environments, 24 (2), 317–327.
Chrisinger, D. (2019). The solution lies in education: Artificial intelligence & the skills gap. On the Horizon, 27(1), 1–4. https://doi.org/10.1108/OTH-03-2019-096. [CrossRef]
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340. doi: 10.2307/249008
Dwivedi, Y. K. Kshetri, N. Hughes, L. Slade, E. L. Jeyaraj, A. Kar, A. K & Wright, R. (2023), “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
Dwivedi, Y. K. Rana, N. P & Chen, H. (2011). "A Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT)." In Governance and Sustainability in Information Systems, 366, 155-170
Fishbein, M., and Ajzen, I. (1977). Belief, attitude, intention, and behavior: an introduction to theory and research. Philosophy Rhetoric 10
Gennari, R. Matera, M. Morra, D. Melonio, A., Rizvi, M. (2023). Design for social digital well-being with young generations: Engage them and make them reflect, International Journal of Human – Computer Studies, Vol. 173, 103006, https://doi.org/10.1016/j.ijhcs.2023.10300
Herbold, S. Hautli-Janisz, A. Heuer, U. Kikteva, Z & Trautsch, A. (2023). AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays. arXiv. https://doi.org/10.48550/ arxiv.2304.14276
Lin, H. C. Ho, C. F & Yang, H. (2022). Understanding adoption of artificial intelligence-enabled language e-learning system: An empirical study of UTAUT model. International Journal of Mobile Learning and Organisation, 16(1), 74-94.
Lund, B & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Social Science Research Network. https://doi.org/10.2139/ ssrn.4333415
Mizumoto, A. Eguchi, M. (2023). Exploring the potential of using an AI language model for automated essay scoring, Research Methods in Applied Linguistics, Vol. 2, 100050, https://doi.org/10.1016/j.rmal.2023.100050.
Nagy, A. S. Tumiwa, J. R. Arie, F. V & Erdey, L. (2024). An exploratory study of artificial intelligence adoption in higher education. Cogent Education, 11(1), 2386892.
Ragheb, M. A. Tantawi, P. Farouk, N & Hatata, A. (2022). Investigating the acceptance of applying chat-bot (Artificial intelligence) technology among higher education students in Egypt. International Journal of Higher Education Management, 8(2).
Raquel Chocarro, Mónica Cortiñas & Gustavo Marcos-Matás (2021) Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics, Educational Studies, DOI: 10.1080/03055698.2020.1850426
Sallam, M. (2023). The Utility of ChatGPT as an example of large language models in healthcare education, research and practice: Systematic review on the future perspectives and potential limitations. medRxiv.https://doi.org/10.1101/2023.02.19.23286155
Sánchez-Prieto, J. C. Olmos-Migueláñez, S & García-Peñalvo, F. J. (2017). MLearning and pre-service teachers: An Assessment of the behavioral intention using an expanded TAM model. Computers in Human Behavior, 72, 644–654.
Sanusi, I. T. Ayanwale, M. A & Tolorunleke, A. E. (2024). Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education: Artificial Intelligence, 6, 100202.
Tuomi, I., 2018. The impact of artificial intelligence on learning, teaching, and education. Luxembourg:
Publications Office of the European Union.
https://doi.org/10.2760/12297.
Venkatesh, Thong & Xu (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36 (1), 157.
Venkatesh, V. Morris, M. Davis, G & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified Model. MIS Quarterly, 27, 425-478.
Wand, X. Li, L. Tan, S.C. Yang, L. Lei, J. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness, Computers in Human Behavior, No. 146, 107796, https://doi.org/10.1016/j.chb.2023 .107798.
Wang, Y. Liu, C. Tu, Y.-F. (2021). Factors Affecting the Adoption of AI-Based Applications in Higher Education: An Analysis of Teachers’ Perspectives Using Structural Equation Modeling. Educational Technology & Society, 24 (3), 116– 129.
Wang, Y. Wan, K & Ren, Y. (2019). Research on factors influencing the acceptance of robot education for primary and secondary school teachers. Res. Vis. Educ, 40, 105-111.
Thomas, J. Larsen, K. R & Martin, F. (2018). The Role of Social Facilitation and Environmental Support in Technology Acceptance. Journal of Social Research in Computer Sciences, 36(4), 102-120.
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