References
Aberbach, H., Jeghal, A., Sabri, A., Tairi, H., & Laaouina, L. (2021). A personalized learning approach based on learning speed. Journal of Computer Science, 17, 242– 250. https://doi.org/10.3844/JCSSP.2021.242.250 Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), Article ep429. https://doi.org/10.30935/cedtech/13152 Al Samman, A. M. (2024). Harnessing potential: Meta-analysis of AI integration in higher education. In Proceedings of the 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (pp. 1–7). IEEE. https://doi.org/10.1109/ICETSIS61505.2024.10459420 Ali, M. K., Ali, A., & Hasanah, A. (2024). Efektivitas fitur ChatGPT, Gemini dan Claude AI dalam membantu guru membuat bahan ajar [The effectiveness of ChatGPT, Gemini and Claude AI features in helping teachers create teaching materials]. PEDAGOGIC: Indonesian Journal of Science Education and Technology, 4(1), 58– 71. https://doi.org/10.54373/ijset.v4i1.1649 Alm, A. (2024). Exploring autonomy in the AI wilderness: Learner challenges and choices. Education Sciences, 14(12), 1369- 1373. https://doi.org/10.3390/educsci14121369 Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing college education: An AI-driven adaptive learning platform for customized course experiences. In Proceedings of the 2023 9th International Conference on Optimization and Applications (pp. 1– 5). https://doi.org/10.1109/ICOA58279.2023.10308834 Amdan, M., Janius, N., Jasman, M., & Kasdiah, M. (2024). Advancement of AI-tools in learning for technical vocational education and training in Malaysia. International Journal of Science and Research Archive, 12(1), 2061– 2068. https://doi.org/10.30574/ijsra.2024.12.1.0971 Andreea, E. T. B., (2022). Instructional design in Education. Proceedings of ADVED 2022 8th International Conference on Advances in Education, Istanbul, Turkey, 10-12 October, 2022 Anjum, P., Choubey, P., Kushwaha, S., & Patkar, V. (2023). AI in education: Evaluating the efficacy and fairness of automated grading systems. International Journal of Innovative Research in Science, Engineering and Technology, 12(6), 9043– 9050. https://doi.org/10.15680/ijirset.2023.1206161 Anuyahong, B., Rattanapong, C., & Patcha, I. (2023). Analyzing the impact of artificial intelligence in personalized learning and adaptive assessment in higher education. International Journal of Research and Scientific Innovation, 10(4), 88– 99. https://doi.org/10.51244/ijrsi.2023.10412 Arvin, N., Hoseinabady, M., Bayat, B., & Zahmatkesh, E. (2023). Teacher experiences with AI- based educational tools. AI and Tech in Behavioral and Social Sciences, 1(2), 26– 32. https://doi.org/10.61838/kman.aitech.1.2.5 Bajracharya, J. R. (2021). Technology integration models and frameworks in teaching and training. Journal of Training and Development, 6, 3–11. Benayache, S., & Mourad, B. (2024). Influences personalisation and student engagement in the AI era. International Journal of Innovative Science and Research Technology, 9(9), 2771–2782. https://doi.org/10.38124/ijisrt/ijisrt24sep1667 IJEE IJEE www.ijee.io Biletska, I. O., Paladieva, A. F., Avchinnikova, H. D., & Kazak, Y. Y. (2021). The use of modern technologies by foreign language teachers: Developing digital skills. Linguistics and Culture Review, 5(S2), 16–27. Bilotta, E., Bertacchini, F., Gabriele, L., Giglio, S., Pantano, P. S., & Romita, T. (2021). Industry 4.0 technologies in tourism education: Nurturing students to think with technology. Journal of Hospitality, Leisure, Sport & Tourism Education, 29, Article 100275. Blagoev, I., Vassileva, G., & Monov, V. (2023). From data to learning: The scientific approach to AI-enhanced online course design. In Proceedings of the 2023 International Conference on Big Data, Knowledge and Control Systems Engineering (pp. 1– 5). https://doi.org/10.1109/BdKCSE59280.2023.10339693 Bruce, D. (2024). Employing AI to help evaluate accumulating student perspective in curricular design. In Proceedings of the Canadian Engineering Education Association (pp. 1– 6). https://doi.org/10.24908/pceea.2023.17095 Bui, M. T., Nguyen, T. P., & Phan, B. T. (2024). How students interact with AI-teaching assistant. In Proceedings of the 11th International Conference on Emerging Challenges: Smart Business and Digital Economy 2023 (pp. 425–433). https://doi.org/10.2991/978- 94-6463-348-1_32 Camilleri, M. A., & Camilleri, A. C. (2017). Digital learning resources and ubiquitous technologies in education. Technology, Knowledge and Learning, 22(1), 65–82. Çela, E., Fonkam, M. M., & Potluri, R. (2024). Risks of AI-assisted learning on student critical thinking. International Journal of Risk and Contingency Management, 12(1). https://doi.org/10.4018/IJRCM.350185 Chen, M., Huang, C., Huang, S., Chang, J., & Liou, H. (2014). An automatic reference aid for improving EFL learners’ formulaic expressions. IEEE Transactions on Learning Technologies, 7(1), 57–68. https://doi.org/10.1109/TLT.2013.34 Cheung, C. K. W., Chan, H. A., Tsang, K. K., Hin, H., & Chan, H. (2022). An AI virtual teaching assistant with smart search and feedback. In Proceedings of the 11th International Congress (pp. 332–341). Dreimane, S., & Upenieks, R. (2022). Intersection of serious games and learning motivation for medical education: A literature review. In Research anthology on developments in gamification and game-based learning (pp. 1938–1947). Keengwe, J., & Bhargava, M. (2014). Mobile learning and integration of mobile technologies in education. Education and Information Technologies, 19(4), 737–746. Oyewale, G. M., & Familugba, J. O. (2021). The use of technology in teaching and learning of history in secondary schools. American Journal of Multidisciplinary Research & Development, 3(6), 43–48. Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital technologies in Education 4.0: Does it enhance the effectiveness of learning? A systematic literature review. International Journal of Interactive Mobile Technologies, 15(4).15-19 Romrell, D., Kidder, L. C., & Wood, E. (2014). The SAMR model as a framework for evaluating mLearning. Journal of Asynchronous Learning Networks, 18(2), 1–15. Skinner, J. (2011). Teachers teaching with technology. Mathematics in School, 40(1), 6–8. Vakaliuk, T. A., Spirin, O. M., Lobanchykova, N. M., Martseva, L. A., Novitska, I. V., & Kontsedailo, V. V. (2021). Features of distance learning of cloud technologies for the quarantine organization’s educational process. Journal of Physics: Conference Series, IJEE IJEE www.ijee.io 1840(1), Article 012051. Vindya, V. S., Dileepa, S. E., & Thilini, P. R., (2024). Instructional design models for digital learning in higher education-A scoping Review. Journal of Learning for development, 11(1), 15-25 Zhang, W., & Tang, J. (2021). Teachers’ TPACK development: A review of literature. Open Journal of Social Sciences, 9, 367–380. https://doi.org/10.4236/jss.2021.97027