عابدی جعفری، حسن؛ و دیگران. (1390). تحلیل مضمون و شبکه مضامین: روشی ساده و کارآمد برای تبیین الگوهای موجود در دادههای کیفی. اندیشه مدیریت راهبردی (اندیشه مدیریت)، 5 (2)، 151۔ 198.
Åkerlind, G. S. (2012). Variation and commonality in phenomenographic research methods. Higher Education Research & Development, 31(1), 115–127.
doi: 10.1080/07294360.2011.642845
Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440.
doi: 10.1007/s43681-021-00096-7
Attride-Stirling, J. (2001). Thematic networks: an analytic tool for qualitative research. Qualitative Research, 1(3), 385–405. doi:
10.1177/146879410100100307
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency, 149–159. https: //proceedings.mlr.press/v81/binns18a/binns18a.pdf
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
doi: 10.1191/1478088706qp063oa
Braun, V., & Clarke, V. (2013). Successful qualitative research: A practical guide for beginners. SAGE Publications.
Bryson, J., & Theodorou, A. (2019). How society can maintain human-centric AI. Ethics and Information Technology, 21(1), 3–21. 10.1007/978-981-13-7725-9
Cernasev, A., & Axon, D. R. (2023). Research and scholarly methods: Thematic analysis. Jaccp: Journal Of The American College Of Clinical Pharmacy, 6(7), 751–755. doi:
10.1002/jac5.1817
Cernasev, A., & Axon, D. R. (2023). Thematic analysis in qualitative research: An overview. JACCP Journal of the American College of Clinical Pharmacy, 6(1), Article e1817. doi: 10.1002/jac5.1817
Chen, Z., Chen, C., Yang, G., He, X., Chi, X., Zeng, Z., & Chen, X. (2024). Research integrity in the era of artificial intelligence: Challenges and responses. Medicine, 103(27), e38811.
doi: 10.1097/MD.0000000000038811
Clarke, V. (2017). Thematic analysis. In C. Willig & W. Stainton-Rogers (Eds.), The SAGE Handbook of Qualitative Research in Psychology (pp. 241-260). SAGE Publications.
ENAI (European Network for Academic Integrity) et al. (2023). Recommendations on the ethical use of Artificial Intelligence in Education. International Journal for Educational Integrity. https: //link.springer.com/article/10.1007/s40979-023-00133-4
Farangi, M. R., & Nejadghanbar, H. (2024). Investigating questionable research practices among Iranian applied linguists: Prevalence, severity, and the role of artificial intelligence tools. System, 125, 103427. doi: 10.1016/j.system.2024.103427
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). doi: 10.1162/99608f92.8cd550d1
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
doi: 10.1038/s42256-019-0088-2
Kamali, J., Alpat, M. F., & Bozkurt, A. (2024). AI ethics as a complex and multifaceted challenge: decoding educators’ AI ethics alignment through the lens of activity theory. International Journal of Educational Technology in Higher Education. DOI: 10.1186/s41239-024-00496-9
Kldiashvili, E., Mamiseishvili, A., & Zarnadze, M. (2025). Academic integrity within the medical curriculum in the age of generative artificial intelligence. Health Science Reports, 8(2), e70489.
doi: 10.1002/hsr2.70489
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. file: ///C: /Users/Zomorrod/Downloads/PearsonIntelligenceUnleashedFINAL.pdf
Lund, B., Mannuru, N. R., Teel, Z. A., Lee, T. H., Ortega, N. J., Simmons, S., & Ward, E. (2025). Student perceptions of AI-assisted writing and academic integrity: Ethical concerns, academic misconduct, and use of generative AI in higher education. AI and Ethics Education, 1(1), 2.
doi: 10.3390/aieduc1010002
Madani, K. (2021). Have international sanctions impacted Iran’s environment? World, 2(2), 231–252. doi: 10.3390/world2020015
Marton, F. (1981). Phenomenography—Describing conceptions of the world around us. Instructional Science, 10(2), 177–200. doi: 10.1007/BF00132516
McConnell, T. (2014). Moral dilemmas. Oxford University Press. https: //philpapers.org/rec/MCCMD
Mittelstadt, B. (2017). Ethics of the health-related internet of things: A narrative review. Ethics and Information Technology, 19(3), 157–175. doi: 10.1007/s10676-017-9426-4
Nushi, M., & Firoozkohi, A. H. (2017). Plagiarism policies in Iranian university TEFL teachers’ syllabuses: An exploratory study. International Journal for Educational Integrity, 13, Article 12. doi: 10.1007/s40979-017-0023-4
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown. DOI: 10.5860/crl.78.3.403
Pinar, W. F. (2019). Curriculum theory and historical connections. In Oxford Research Encyclopedia of Education. Oxford University Press. doi: 10.1093/acrefore/9780190264093.013.1034
Resnik, D. B. (2020). The ethics of science: An introduction (2nd ed.). Routledge.
Sozon, M., Hamdan Mohammad Alkharabsheh, O., Chuan, S. B., & Lim, T.-S. (2024). Cheating and plagiarism in higher education institutions (HEIs): A literature review. F1000Research, 12, 1017. doi: 10.12688/f1000research.147140.2
Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751–752. doi: 10.1126/science.aat5991
Tan, M. J. T., & Maravilla, N. M. A. (2024). Shaping integrity: Why generative artificial intelligence does not have to undermine education. Frontiers in AI. Advance online publication.
doi: 10.3389/frai.2024.1471224
van den Akker, J. (2010). Building bridges: How research may improve curriculum policies and classroom practices. In S. Nieveen & J. van den Akker (Eds.), An introduction to educational design research (pp. 25–39). Netherlands Institute for Curriculum Development (SLO).
doi: 10.1007/978-94-6209-359-1_30
Weller, A. (2019). Transparency: Motivations and challenges. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 23–40. Springer. doi: 10.1007/978-3-030-28954-6_2
Wiese, L. J., Patil, I., Schiff, D. S., & Magana, A. J. (2025). AI ethics education: A systematic literature review. Computers and Education: Artificial Intelligence, 8, 100405. doi: 10.1016/j.caeai.2025.100405
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. doi: 10.1080/17439884.2020.1798995
Xiao, J., Alibakhshi, G., Zamanpour, A., Zarei, M. A., Sherafat, S., & Behzadpoor, S.-F. (2024). How AI literacy affects students’ educational attainment in online learning: Testing a structural equation model in higher education context. The International Review of Research in Open and Distributed Learning.
doi: 10.19173/irrodl.v25i3.7720
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39).