International Journal of Changes in Education

• Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
• 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
• Luckin, R., Rudolph, J., Grünert, M., & Tan, S. (2024). Exploring the future of learning and the relationship between human intelligence and AI. An interview with Professor Rose Luckin. Journal of Applied Learning and Teaching, 7(1), 346–363. https://doi.org/10.37074/jalt.2024.7.1.27
• Gagnon, V. (2025). Développement d’ un modèle pour le choix d’ une plateforme de machine learning pour l’ apprentissage supervisé dans les petites entreprises[Development of a model for choosing a machine learning platform for supervised learning in small businesses]. Doctoral dissertation, Univers ity of Quebec in Chicoutimi, Retrieved from: https://constellation.uqac.ca/id/eprint/10067/1/Gagnon_uqac_0862N_11249.pdf
• Alexander, W. R. J., & Belloni, R. (2024). Artificial intelligence and the sustainability of the signaling and human capital roles of higher education. Sustainability, 16(20), 8802. https://doi.org/10.3390/su16208802
• Kreutzer, R. T., & Sirrenberg, M. (2019). Fields of application of artificial intelligence—Health care, education and human resource management. In R. T. Kreutzer & M. Sirrenberg (Eds.), Understanding artificial intelligence: Fundamentals, use cases and methods for a corporate AI journey (pp. 167–193). Springer International Publishing. https://doi.org/10.1007/978-3-030-25271-7_6
• Nelson, R. (2024). Academic identity in the age of AI: Higher education and the digital revolution. Emerald Group Publishing.
• Schicktanz, S., Welsch, J., Schweda, M., Hein, A., Rieger, J. W., & Kirste, T. (2023). AI-assisted ethics? Considerations of AI simulation for the ethical assessment and design of assistive technologies. Frontiers in Genetics, 14, 1039839. https://doi.org/10.3389/fgene.2023.1039839
• Saddhono, K., Rohmadi, M., Lestari, T. A., Simanungkalit, K. E., & Sukmono, I. K. (2024). The role of AI in facilitating multilingual literacy and cross-cultural understanding. In International Conference on IoT, Communication and Automation Technology (ICICAT), 366–371. https://doi.org/10.1109/ICICAT62666.2024.10923254
• Cascio, W. F. (2019). Training trends: Macro, micro, and policy issues. Human Resource Management Review, 29(2), 284–297. https://doi.org/10.1016/j.hrmr.2017.11.001
• Mahendrakar, S. R., & Soundararajan, K. (2025). Artificial intelligence in future performance management: A conceptual framework. International Journal of Environmental Sciences, 11(10s), 162–176. https://doi.org/10.64252/0fe78m77
• Hmoud, M., & Shaqour, A. (2024). AIEd Bloom’s taxonomy: A proposed model for enhancing educational efficiency and effectiveness in the artificial intelligence era. The International Journal of Technologies in Learning, 31(2), 111–128. https://doi.org/10.18848/2327-0144/CGP/v31i02/111-128
• Mekić, E. S., Jovanović, M. N., Kuk, K. V., Prlinčević, B. P., & Savić, A. M. (2024). Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0. Computer Applications in Engineering Education, 32(6), e22804. https://doi.org/10.1002/cae.22804
• Er-Rafyg, A., Zankadi, H., & Idrissi, A. (2024). AI in adaptive learning: challenges and opportunities. In A. Idrissi (Ed.), Modern Artificial Intelligence and Data Science 2024, Springer, https://doi.org/10.1007/978-3-031-65038-3_26
• Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216
• Miranda, S., & Vegliante, R. (2025). Leveraging AI-generated virtual speakers to enhance multilingual E-learning experiences. Information, 16(2), 132. https://doi.org/10.3390/info16020132
• 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
• Chaika, O. (2023). The role of artificial intelligence in higher education. Molod i Rynok, 6-7(214-215), 69–74. https://doi.org/10.24919/2308-4634.2023.287898
• Chaika, O. (2023). Leveraging Generative AI: Empowering Universities through ChatGPT. In D. Kalinowski, & P. Toczyński (Eds.), Ekologia w dyskursie. Sztuczna Inteligencja [Ecology in Discourse: Artificial Intelligence] (pp. 139–164). Pomeranian University Publishing.
• Lamb, J., Carvalho, L., Gallagher, M., & Knox, J. (2022). The postdigital learning spaces of higher education. Postdigital Science and Education, 4(1), 1–12. https://doi.org/10.1007/s42438-021-00279-9
• European Parliament and Council of the European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 on artificial intelligence (Artificial Intelligence Act. Official Journal of the European Union, L, 1–157.
• Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., & Dignum, V. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
• Rodgers, W., Murray, J. M., Stefanidis, A., Degbey, W. Y., & Tarba, S. Y. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes. Human Resource Management Review, 33(1), 100925. https://doi.org/10.1016/j.hrmr.2022.100925
• Li, H., Fang, Y., Zhang, S., Lee, S. M., Wang, Y., Trexler, M., & Botelho, A. F. (2025). ARCHED: A human-centered framework for transparent, responsible, and collaborative AI-assisted instructional design. Proceedings of Machine Learning Research, 273, 94–104.
• Molenda, M. (2007). In search of the elusive ADDIE model. Performance Improvement, 42(5), 40–42. https://doi.org/10.1002/pfi.4930420508
• Kasztelnik, K. (2024). Artificial intelligence-assisted curriculum development: Innovations in designing educational content for the 21st Century learner. Journal of Higher Education Theory and Practice, 24(11), 51–59. https://doi.org/10.33423/jhetp.v24i11.7367
• Córdova-Esparza, D. M. (2025). Ai-powered educational agents: Opportunities, innovations, and ethical challenges. Information, 16(6), 469. https://doi.org/10.3390/info16060469
• Toyon, M. A. S. (2021). Explanatory sequential design of mixed methods research: Phases and challenges. International Journal of Research in Business and Social Science, 10(5), 253–260. https://doi.org/10.20525/ijrbs.v10i5.1262
• Kelle, U. (2022). Mixed methods. In N. Baur,&. J. Blasius (Eds (Ed.), Handbuch Methoden der empirischen Sozialforschung (pp. 163–177). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-37985-8_9
• Andrade, C. (2020). The limitations of online surveys. Indian Journal of Psychological Medicine, 42(6), 575–576. https://doi.org/10.1177/025371762095749
• Ball, H. L. (2019). Conducting online surveys. Journal of Human Lactation, 35(3), 413–417. https://doi.org/10.1177/0890334419848734
• Braun, V., Clarke, V., Boulton, E., Davey, L., & McEvoy, C. (2021). The online survey as a qualitative research tool. International Journal of Social Research Methodology, 24(6), 641–654. https://doi.org/10.1080/13645579.2020.1805550
• Nardon, L., Hari, A., & Aarma, K. (2021). Reflective interviewing—Increasing social impact through research. International Journal of Qualitative Methods, 20. https://doi.org/10.1177/16094069211065233
• Mizin, K., Letiucha, L., & Petrov, O. (2019). Deutsche linguokulturelle Konzepte im Lichte der germanisch-ostslawischen Kontraste: Methode zur Feststellung von spezifischen bzw. einzigartigen Bedeutungen. [German linguistic and cultural concepts in light of Germanic-East Slavic contrasts: Method for determining specific or unique meanings]. Germanoslavica, 30(1), 49–70.
• Kubitskyi, S., & Kubitskyy, Y. (2025). Personnel development management as a strategic tool for increasing the competitiveness of an organization. Management, 41(1), 25–45. https://doi.org/10.30857/2415-3206.2025.1.2

APA

Chaika, O., Kubitskyi, S., & Berezovska-Savchuk, N. (2026). The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning. International Journal of Changes in Education, 3(4), 513-523. https://doi.org/10.47852/bonviewIJCE52027087

Vancouver

Chaika O, Kubitskyi S, Berezovska-Savchuk N. The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning. International Journal of Changes in Education. 2026;3(4):513-23. https://doi.org/10.47852/bonviewIJCE52027087

AMA

Chaika O, Kubitskyi S, Berezovska-Savchuk N. The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning. International Journal of Changes in Education. 2026;3(4), 513-523. https://doi.org/10.47852/bonviewIJCE52027087

Chicago

Chaika, Oksana, Serhii Kubitskyi, and Natalia Berezovska-Savchuk. "The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning". International Journal of Changes in Education 2026 3 no. 4 (2026): 513-523. https://doi.org/10.47852/bonviewIJCE52027087

Harvard

Chaika, O., Kubitskyi, S., and Berezovska-Savchuk, N. (2026). The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning. International Journal of Changes in Education, 3(4), pp. 513-523. https://doi.org/10.47852/bonviewIJCE52027087

MLA

Chaika, Oksana et al. "The Role of AI in Shaping Future Educators: Ethics, Instructional Design, and Lifelong Learning". International Journal of Changes in Education, vol. 3, no. 4, 2026, pp. 513-523. https://doi.org/10.47852/bonviewIJCE52027087