Research Article

Integrating AI into instructional design: A case study on digital photography education in higher education

Betül Yıldızhan Bora 1 * , Cansu Şahin Kölemen 2
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1 Bingol University, Bingol, TURKEY2 Beykoz University, Istanbul, TURKEY* Corresponding Author
Contemporary Educational Technology, 17(3), July 2025, ep583, https://doi.org/10.30935/cedtech/16433
Published Online: 04 June 2025, Published: 01 July 2025
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ABSTRACT

This study investigates the impact of artificial intelligence (AI)-supported education in higher education, specifically examining its integration into a digital photography course and its effects on both students and instructors. A qualitative research methodology was employed, and participants were selected through purposive sampling. The study involved one instructor and 38 students, with data collected through semi-structured interviews and analyzed using content analysis within a qualitative case study design. The findings indicate that AI enhances educational processes by facilitating individualized learning, improving instructional effectiveness, supporting digital content development, and advancing academic language proficiency. Students demonstrated improvements in critical evaluation and technological adaptability. Additionally, the study revealed that AI-supported tools contributed to the development of students’ technical skills and promoted active engagement in learning processes. The immediate feedback provided by AI tools aided students’ understanding of fundamental photography principles. However, some students expressed concerns about potential risks associated with AI, including decreased engagement, learner passivity, and exposure to misinformation or contradictory content. The study highlights the importance of integrating AI within a sound pedagogical framework to ensure its effective application in educational contexts. Drawing on the experiences of both students and the instructor, the findings suggest that AI-supported educational models can enhance learning efficiency, while also emphasizing the need to bolster information reliability and foster critical thinking skills.
Keywords: artificial intelligence, education, integration, instructional design, higher education

CITATION (APA)

Yıldızhan Bora, B., & Şahin Kölemen, C. (2025). Integrating AI into instructional design: A case study on digital photography education in higher education. Contemporary Educational Technology, 17(3), ep583. https://doi.org/10.30935/cedtech/16433

REFERENCES

  1. 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
  2. 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
  3. 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
  4. 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
  5. Alm, A. (2024). Exploring autonomy in the AI wilderness: Learner challenges and choices. Education Sciences, 14(12), Article 1369. https://doi.org/10.3390/educsci14121369
  6. Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing college education: An AI-driven adaptive learning platform (ALP) 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
  7. Amdan, M., Janius, N., Jasman, M., & Kasdiah, M. (2024). Advancement of AI-tools in learning for technical vocational education and training (TVET) in Malaysia (empowering students and tutor). International Journal of Science and Research Archive, 12(01), 2061–2068. https://doi.org/10.30574/ijsra.2024.12.1.0971
  8. 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
  9. 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
  10. 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
  11. Benayache, S., & Mourad, B. (2024). Influences personalisation and student engagement in the AI era: Exploring effects and influences. International Journal of Innovative Science and Research Technology, 9(9), 2771–2782. https://doi.org/10.38124/ijisrt/ijisrt24sep1667
  12. 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
  13. Bourgault, S., & E, J. (2023). Exploring the horizon of computation for creativity. XRDS: Crossroads, The ACM Magazine for Students, 29(4), 6–9. https://doi.org/10.1145/3596921
  14. 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
  15. Bui, M. T., Nguyen, T. P., & Phan, B. T. (2024). How students interact with AI-teaching assistant: Roles of novelty and innovativeness. 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
  16. 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
  17. Chen, M., Huang, C., Huang, S., Chang, J., & Liou, H. (2014). An automatic reference aid for improving EFL learners’ formulaic expressions in productive language use. IEEE Transactions on Learning Technologies, 7(1), 57–68. https://doi.org/10.1109/TLT.2013.34
  18. Chen, X. (2024). A phenomenological study of teachers’ perception of professional development sessions focused on artificial intelligence [PhD thesis, Pepperdine University].
  19. 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 11th International Congress (pp. 332–341).
  20. Coeckelbergh, M. (2023). The work of art in the age of AI image generation. Journal of Human-Technology Relations, 1. https://doi.org/10.59490/jhtr.2023.1.7025
  21. Creswell, J. W. (2018). Qualitative inquiry and research design: Choosing among five approaches. SAGE.
  22. Creswell, J. W. (2020). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson.
  23. Dai, Y., Huang, Y., Zhang, Y., & Xu, X. (2023). Why technology-supported classrooms: An analysis of classroom behavior data from AIGC. In Proceedings of the 2023 International Conference on Intelligent Education and Intelligent Research (pp. 1–17). https://doi.org/10.1109/IEIR59294.2023.10391211
  24. Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2023). Impact of AI assistance on student agency. Computers & Education, 210, Article 104967. https://doi.org/10.1016/j.compedu.2023.104967
  25. Das, S., & Rani, P. (2024). Revolutionizing graphic design: The synergy of AI tools and human creativity. ShodhKosh: Journal of Visual and Performing Arts, 5(2), 372–380. https://doi.org/10.29121/shodhkosh.v5.i2.2024.1393
  26. Dei, M. (2025). The impact of AI on the adaptation of educational materials and teaching methods to the needs of each student. LatIA, 3, Article 124. https://doi.org/10.62486/latia2025124
  27. Del Valle, L., Abuzo, C., Siga, J., & Lufranco, J. (2024). An action research evaluating artificial intelligence (AI) consumption among learners of San Vicente National High School as online scaffold to academic endeavor: Experiences and practices. Randwick International of Education and Linguistics Science Journal, 5(3), 804–809. https://doi.org/10.47175/rielsj.v5i3.1042
  28. Dickey, E., Bejarano, A., & Garg, C. (2023). Innovating computer programming pedagogy: The AI-lab framework for generative AI adoption. SN Computer Science, 5, Article 720. https://doi.org/10.1007/s42979-024-03074-y
  29. Dönmez, M. (2024). AI-based feedback tools in education: A comprehensive bibliometric analysis study. International Journal of Assessment Tools in Education, 11(4), 622–646. https://doi.org/10.21449/ijate.1467476
  30. Elenain, H., Bakr, A., Fathi, A., & Elsayad, Z. (2024). Digital photography to enhance creative thinking in the education of architectural design. Fayoum University Journal of Engineering, 7(2), 295–316. https://doi.org/10.21608/fuje.2024.345048
  31. Englmeier, K. (2024). User-centered models for adaptive learner journeys in self-paced learning. In Intelligent human systems integration (IHSI 2024): Integrating people and intelligent systems (pp. 93–98). AHFE. https://doi.org/10.54941/ahfe1004532
  32. Ezeoguine, E. P., & Eteng-Uket, S. (2024). Artificial intelligence tools and higher education student’s engagement. Edukasiana: Jurnal Inovasi Pendidikan, 3(3), 300–312. https://doi.org/10.56916/ejip.v3i3.733
  33. Filiz, O., Kaya, M. H., & Adiguzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13463-2
  34. Fleckenstein, J., Liebenow, L., & Meyer, J. (2023). Automated feedback and writing: A multi-level meta-analysis of effects on students’ performance. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1162454
  35. Fonseca, N., Macedo, L., & Mendes, A. (2018). Supporting differentiated instruction in programming courses through permanent progress monitoring. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education. ACM. https://doi.org/10.1145/3159450.3159578
  36. Fošner, A. (2024). University students’ attitudes and perceptions towards AI tools: Implications for sustainable educational practices. Sustainability, 16(19), Article 8668. https://doi.org/10.3390/su16198668
  37. Gervacio, A. P. (2024). Exploring how generative AI contributes to the motivated engagement and learning production of science-oriented students. Environment and Social Psychology, 9(11). https://doi.org/10.59429/esp.v9i11.3194
  38. Gross, E. C. (2024). The art of AI: Perspectives on artificial intelligence in photography. Bulletin of the Transilvania University of Braşov. Series VII: Social Sciences, 17(66)(1). https://doi.org/10.31926/but.ssl.2024.17.66.1.12
  39. Gupta, A., & Srivastava, M. (2024). Framework for AI adoption in healthcare sector: Integrated DELPHI, ISM–MICMAC approach. IEEE Transactions on Engineering Management, 71, 8116–8131. https://doi.org/10.1109/TEM.2024.3386580
  40. Gupta, T. (2024). Adaptive learning systems: Harnessing AI to personalize educational outcomes. International Journal for Research in Applied Science and Engineering Technology, 12(11), 458–464. https://doi.org/10.22214/ijraset.2024.65088
  41. Gyonyoru, K., & Katona, J. (2024). Student perceptions of AI-enhanced adaptive learning systems: A pilot survey. In Proceedings of the 2024 IEEE 7th International Conference and Workshop Óbuda on Electrical and Power Engineering (pp. 93–98). https://doi.org/10.1109/CANDO-EPE65072.2024.10772884
  42. Hamdi, M. (2024). How AI is transforming and shaping the future of education. In Proceedings of the 2024 IEEE 28th International Conference on Intelligent Engineering Systems (pp. 115–116). IEEE. https://doi.org/10.1109/ines63318.2024.10629089
  43. Hammad, M., Al-Refai, M., Musallam, W., Musleh, S., & Faouri, E. (2024). A taxonomy of AI-based assessment educational technologies. In Proceedings of the 2024 15th International Conference on Information and Communication Systems (pp. 1–6). https://doi.org/10.1109/ICICS63486.2024.10638295
  44. Hanh, C. M. H. (2024). Applying artificial intelligence (AI) technology to enhance aesthetic perception in fine art education. Vinh University Journal of Science Educational Science and Technology, 53. https://doi.org/10.56824/vujs.2024.htkhgd192
  45. Hasibuan, R., & Azizah, A. (2023). Analyzing the potential of artificial intelligence (AI) in personalizing learning to foster creativity in students. Enigma in Education, 1(1), 6–10. https://doi.org/10.61996/edu.v1i1.2
  46. Ifenthaler, D., & Schumacher, C. (2023). Reciprocal issues of artificial and human intelligence in education. Journal of Research on Technology in Education, 55, 1–6. https://doi.org/10.1080/15391523.2022.2154511
  47. Ikhsan, I., Ashar, M., Mashudi, A., Ichwan, I., Kadarisman, K., & Akbar, M. (2024). Design reflective practice assessment tools for teacher on learning management system using AI adaptive feedback. In Proceedings of the ACEID2024. https://doi.org/10.22492/issn.2189-101x.2024.61
  48. Jegede, O. (2024). Artificial intelligence and English language learning: Exploring the roles of AI-driven tools in personalizing learning and providing instant feedback. Universal Library of Languages and Literatures, 1(2), 6–19. https://doi.org/10.70315/uloap.ullli.2024.0102002
  49. Jiao, D. (2024). AI-driven personalization in higher education: Enhancing learning outcomes through adaptive technologies. Adult and Higher Education, 6, 42–46. https://doi.org/10.23977/aduhe.2024.060607
  50. Jin, X., Qiao, Q., Li, X., Huang, H., Xiao, C., Huang, R., Qu, J., Zhou, Z., & Wang, Y. (2023). Mobile photography guidance system via aesthetic assessment. In Proceedings of the 2023 China Automation Congress (pp. 8863–8868). https://doi.org/10.1109/CAC59555.2023.10451883
  51. Kamel, H. (2024). Understanding the impact of AI hallucinations on the university community. Cybrarians Journal, 73, 111–134. https://doi.org/10.70000/cj.2024.73.622
  52. Kazemitabaar, M., Huang, O., Suh, S., Henley, A. Z., & Grossman, T. (2024). Exploring the design space of cognitive engagement techniques with AI-generated code for enhanced learning. arXiv. https://doi.org/10.48550/arXiv.2410.08922
  53. Khadake, V. (2024). Algorithmic aesthetics: A critical analysis of AI-generated art in the digital age. International Journal for Multidisciplinary Research, 6(6). https://doi.org/10.36948/ijfmr.2024.v06i06.32948
  54. Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27, 6069–6104. https://doi.org/10.1007/s10639-021-10831-6
  55. Ko, J., Shin, N., Lee, S., & Kim, C. (2022). Unified angle adjustment network for image composition enhancement. In Proceedings of the 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (pp. 1053–1057). https://doi.org/10.23919/APSIPAASC55919.2022.9979887
  56. Kuzminykh, I., Nawaz, T., Shenzhang, S., Ghita, B., Raphael, J., & Xiao, H. (2024). Personalised feedback framework for online education programmes using generative AI. arXiv. https://doi.org/10.48550/arXiv.2410.11904
  57. Legowo, B., Nurhasanah, F., Saddhono, K., Budiastuti, V., Sutomo, A., & Murwaningsih, T. (2024). Enhancing educational outcomes through exploring the optimized options artificial intelligence and deep learning. In Proceedings of the 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (pp. 929–934). https://doi.org/10.1109/ICACITE60783.2024.10616772
  58. Lin, H., &Chen, Q. (2024). Artificial intelligence (AI)-integrated educational applications and college students’ creativity and academic emotions: Students and teachers’ perceptions and attitudes. BMC Psychology, 12, Article 487. https://doi.org/10.1186/s40359-024-01979-0
  59. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE. https://doi.org/10.1016/0147-1767(85)90062-8
  60. Liu, D. (2024). The impact and prospects of AI-generated content in educational environments. Transactions on Computer Science and Intelligent Systems Research, 6, 64–71. https://doi.org/10.62051/7mewnb62
  61. Liu, S., Li, J., & Zheng, J. (2023). AI-based collaborative teaching: Strategies and analysis in visual communication design. International Journal of Emerging Technologies in Learning, 18, 182–196. https://doi.org/10.3991/ijet.v18i23.45635
  62. Louly, N. (2024). Application of AI tools in education–A conceptual framework. Recent trends in Management and Commerce, 5(2). https://doi.org/10.46632/rmc/5/2/1
  63. Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
  64. Lyanda, J., Owidi, S., & Simiyu, A. (2024). Rethinking higher education teaching and assessment in-line with AI innovations: A systematic review and meta-analysis. African Journal of Empirical Research, 5(3), 325–335. https://doi.org/10.51867/ajernet.5.3.30
  65. Mafara, R., & Shehu, S. A. (2024). Adopting artificial intelligence (AI) in education: Challenges & possibilities. Asian Journal of Advanced Research and Reports, 18(2), 106–111. https://doi.org/10.9734/ajarr/2024/v18i2608
  66. Mai, H., & Li, X. (2024). Design of an AI-based personalized English self-learning system. Journal of Higher Education Teaching, 1(5). https://doi.org/10.62517/jhet.202415513
  67. Mallillin, L. L. D. (2024). Artificial intelligence (AI) towards students’ academic performance. Innovare Journal of Education, 12(4), 16–21. https://doi.org/10.22159/ijoe.2024v12i4.51665
  68. Merriam, S. B. (2018). Qualitative research: A guide to design and implementation. Jossey-Bass Inc Pub.
  69. Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  70. Monser, E. (2023). A modern vision in the applications of artificial intelligence in the field of visual arts. International Journal of Multidisciplinary Studies in Art and Technology, 6(1), 73–104. https://doi.org/10.21608/ijmsat.2024.274900.1021
  71. Morrison, G. R., Ross, S. M., Kemp, J. E., & Kalman, H.K. (2012). Designing effective instruction (6th ed.). John Wiley & Sons.
  72. Murgai, A., Andure, V., Valiba, D., & Thorat, R. (2024). The role of AI in education: Transforming learning through ChatGPT and emerging technologies. ShodhKosh: Journal of Visual and Performing Arts, 5(6), 2050–2055. https://doi.org/10.29121/shodhkosh.v5.i6.2024.2834
  73. Namjoo, F., Liaghat, E., Shabaziasl, S., Modabernejad, Z., & Morshedi, H. (2023). Students’ experience on self-study through AI. AI and Tech in Behavioral and Social Sciences, 1(3), 35–42. https://doi.org/10.61838/kman.aitech.1.3.6
  74. Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the relationship between knowledge elements. Sustainability, 16(3), Article 978. https://doi.org/10.3390/su16030978
  75. Otto, F., Kling, N., Schumann, C.-A., & Tittmann, C. (2023). Conceptual approach to an AI-based adaptive study support system for individualized higher education. International Journal of Advanced Corporate Learning, 16(2), 69–80. https://doi.org/10.3991/ijac.v16i2.35699
  76. Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), Article 22. https://doi.org/10.1186/s41039-017-0062-8
  77. Qushwa, F., & Onia, S. (2024). AI innovation in education: Realizing personalized learning in the digital age. Educative: Jurnal Ilmiah Pendidikan, 2(3), 178–187. https://doi.org/10.70437/educative.v2i3.822
  78. Rewatkar, S. (2024). Analyzing and improving existing neural network-based approaches to identify AI generated images. Journal of Student Research, 13(1). https://doi.org/10.47611/jsrhs.v13i1.5931
  79. Roopaei, M., & Dehbozorgi, N. (2024). AI in education: Crafting policies for tomorrow’s learning landscape. In Proceedings of the 2024 IEEE Integrated STEM Education Conference (pp. 1–4). IEEE. https://doi.org/10.1109/ISEC61299.2024.10665282
  80. Sagala, Y., Simajuntak, M., Bukit, N., &, M. (2019). Implementation of project-based learning (PjBL) in collaboration skills and communication skills of students. In Proceedings of the 4th Annual International Seminar on Transformative Education and Educational Leadership. https://doi.org/10.2991/aisteel-19.2019.138
  81. Salameh, W. A. K. (2025). Exploring the impact of AI-driven real-time feedback systems on learner engagement and adaptive content delivery in education. International Journal of Science and Research Archive, 14(2), 98–104. https://doi.org/10.30574/ijsra.2025.14.2.0299
  82. Saldaña, J. (2019). The coding manual for qualitative researchers. SAGE.
  83. Salvaggio, E. (2023). Seeing like a dataset: Notes on AI photography. Interactions, 30, 34–37. https://doi.org/10.1145/3587241
  84. Saqib, M., & Zia, S. (2024). Evaluation of AI content generation tools for verification of academic integrity in higher education. Journal of Applied Research in Higher Education. https://doi.org/10.1108/jarhe-10-2023-0470
  85. Schleiss, J., Laupichler, M., Raupach, T., & Stober, S. (2023). AI course design planning framework: Developing domain-specific AI education courses. Education Sciences, 13(9), Article 954. https://doi.org/10.3390/educsci13090954
  86. Song, J. (2024). Integrating artificial intelligence in smart course design: Innovative teaching methods for talent cultivation in higher education. Education Insights, 1(1), 1–7. https://doi.org/10.70088/63t0zj06
  87. Sternberg, R. J. (2024). Do not worry that generative AI may compromise human creativity or intelligence in the future: It already has. Journal of Intelligence, 12(7), Article 69. https://doi.org/10.3390/jintelligence12070069
  88. Sundaram, K. (2022). Digital transformation with AI/ML & cybersecurity. International Journal of Computer Science and Mobile Computing, 11(11), 1–3. https://doi.org/10.47760/ijcsmc.2022.v11i11.001
  89. Tammets, K., & Ley, T. (2023). Integrating AI tools in teacher professional learning: A conceptual model and illustrative case. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1255089
  90. Taufikin, M., S., Azifah, N., Nikmah, F., Kuanr, J., &, P. (2024). The impact of AI on teacher roles and pedagogy in the 21st century classroom. In Proceedings of the 2024 International Conference on Knowledge Engineering and Communication Systems (pp. 1–5). https://doi.org/10.1109/ICKECS61492.2024.10617236
  91. Tran, T. (2024). AI tools in teaching and learning English academic writing skills. In Proceedings of the AsiaCALL International Conference. https://doi.org/10.54855/paic.23413
  92. Trisnawati, W., Putra, R., & Balti, L. (2023). The impact of artificial intelligent in education toward 21st century skills: A literature review. PPSDP International Journal of Education, 2(2), 501–513. https://doi.org/10.59175/pijed.v2i2.152
  93. Trivedi, N. (2023). AI in education–A transformative force. In Proceedings of the 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (pp. 1–4). https://doi.org/10.1109/IDICAIEI58380.2023.10406541
  94. Vrana, R. (2024). Exploring the impact of AI on teaching in higher education: An exploratory study. In Proceedings of the 2024 47th MIPRO ICT and Electronics Convention (pp. 391–397). https://doi.org/10.1109/MIPRO60963.2024.10569342
  95. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  96. Wan, Y., Kitzie, V., Alsaid, M., Berkowitz, A., Herdiyanti, A., & Penrose, R. (2024). The AI-empowered researcher: Using AI-based tools for success in Ph.D. programs. In Proceedings of the ALISE Annual Conference. https://doi.org/10.21900/j.alise.2024.1710
  97. Wang, F. (2024). Discussion of AIGC technology in a photography course at a higher vocational college. Journal of Research in Vocational Education, 2024(6). https://doi.org/10.52710/mt.157
  98. Wang, J., & Zhang, J. (2024). Research on the theory and innovation strategy of digital media art development based on artificial intelligence technology. Applied Mathematics and Nonlinear Sciences, 9. https://doi.org/10.2478/amns-2024-1543
  99. Wang, S., Christensen, C., Cui, W., Tong, R., Yarnall, L., Shear, L., & Feng, M. (2020). When adaptive learning is effective learning: Comparison of an adaptive learning system to teacher-led instruction. Interactive Learning Environments, 31, 793–803. https://doi.org/10.1080/10494820.2020.1808794
  100. Xu, J., & Li, J. (2024). Effects of AI affordances on student engagement in EFL classrooms: A structural equation modelling and latent profile analysis. European Journal of Education, 59(4), Article e12808. https://doi.org/10.1111/ejed.12808
  101. Yuldashev, S., Akramov, M., Tursunova, F., Abdullaeva, K., Shakhmurodova, D., & Ubaydullayev, A. (2024). A development of AI connected system with adaptive assessments method for evaluation methods in education field. In Proceedings of the 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (pp. 826–830). https://doi.org/10.1109/ICACITE60783.2024.10616960
  102. Zailuddin, M., Harun, N., Rahim, H., Kamaruzaman, A., Berahim, M., Harun, M., & Ibrahim, Y. (2024). Redefining creative education: A case study analysis of AI in design courses. Journal of Research in Innovative Teaching & Learning, 17(2), 282–296. https://doi.org/10.1108/jrit-01-2024-0019
  103. Zhang, G. (2024). AI-assisted art critique systems for enhancing fine arts learning. Membrane Technology, 6(10), 12–20. https://doi.org/10.53469/jrve.2024.6(10).04
  104. Zhao, T. (2024). Construction and implementation of a “learner-centered” business education model based on artificial intelligence technology. Journal of Business and Marketing, 1(3), 29–32. https://doi.org/10.62517/jbm.202409306
  105. Zhou, E., & Lee, D. (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus, 3. https://doi.org/10.1093/pnasnexus/pgae052
  106. Zhou, J., Zhang, Y., Luo, Q., Parker, A., & De Choudhury, M. (2023). Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3581318
  107. Zhu, X. (2018). College English assisted teaching based on artificial intelligence. In Proceedings of the 2018 International Conference on Virtual Reality and Intelligent Systems (pp. 18–21). https://doi.org/10.1109/ICVRIS.2018.00013