Artificial Intelligence in Art and Design Education and Challenges: An Exploration of Future Educational Models

Haitao  Bai; Kumron  Sirathanakul; Kasinee  Sokhuma

doi:10.60027/iarj.2025.286938

ผู้แต่ง

Haitao Bai Faculty of Education, Shinawatra University, Thailand https://orcid.org/0009-0002-8151-0354
Kumron Sirathanakul Faculty of Education, Shinawatra University, Thailand https://orcid.org/0009-0008-5800-7543
Kasinee Sokhuma Faculty of Education, Shinawatra University, Thailand https://orcid.org/0009-0008-2618-0122

DOI:

https://doi.org/10.60027/iarj.2025.286938

คำสำคัญ:

Artificial Intelligence, Art and Design E, Technology

บทคัดย่อ

Background and Aims: The term "artificial intelligence" was first coined by John McCarthy at the Dartmouth Conference in 1956, marking the birth of artificial intelligence as an independent discipline. The discipline of AI is a highly integrated field of science and technology and philosophy, and despite its short history as a discipline, there is a long history of discussion about AI and that these philosophical theories were closely related to the formation of the concept of AI, similar to the way that the concept of "robot" was first introduced in literature and art. The study of the significance of artificial intelligence in art and design education can be elaborated in more detail at three levels: theoretical significance, practical significance, and educational practice.

Methodology: A core sample of 300 students from the Art and Design program classes of 2021 through 2023 was used for the study. The distribution of the student sample size was based on the following logic: 40% (120) freshmen, 35% (105) sophomores, and 25% (75) juniors. This ratio reflects both the comfort level of beginners with AI technology and the depth of senior students' experience with the technology.

Results: The study analyzes in detail the application of artificial intelligence in art and design education, including intelligent assisted teaching, stimulation of creative thinking, and accurate evaluation and feedback mechanisms. But also positively affected students' creativity. Nevertheless, the challenges of technology integration, ethical and moral considerations, and the reconfiguration of educational resources remain.

Conclusion: This study provides a new approach to supporting solid theory and practice for the reform and advancement of art and design education in the future. Although research in art and design is still in its infancy compared to information science, and also finds many common points between artificial intelligence and art and design, the research finds that exploring the impact of artificial intelligence on art and design education, and using the current widespread interest in artificial intelligence and its practical application as a starting point, provides theoretical and practical suggestions for future art design with clear implications for efficiency.

เอกสารอ้างอิง

Allen, R. C. (2017). The industrial revolution: A very short introduction (Vol. 509). Oxford University Press.

Bughin, J., Hazan, E., Ramaswamy, P. S., DC, W., & Chu, M. (2017). Artificial intelligence: The next digital frontier. McKinsey Global Institute.

Chen, P., Li, Z., Zhang, D., Shen, W., Xie, Y., Zhang, J., ... & Guan, Q. (2021). Insights into the effect of human civilization on Malus evolution and domestication. Plant Biotechnology Journal, 19(11), 2206–2220.

Ertel, W. (2024). Introduction to artificial intelligence (4th ed.). Springer Nature.

Flitton, A., & Currie, T. E. (2022). Assessing different historical pathways in the cultural evolution of economic development. Evolution and Human Behavior, 43(1), 71–82.

Gong, L., Song, Y., Xu, Y., Wang, M., Ma, H., Liu, W., ... & Hao, L. (2022). The use of a technology-assisted and teacher-supervised online discussion platform to promote academic progress in blended embryology courses. BMC Medical Education, 22(1), 817.

Guo, S., Zheng, Y., & Zhai, X. (2024). Artificial intelligence in education research during 2013–2023: A review based on bibliometric analysis. Education and Information Technologies, 29(13), 16387–16409.

He, J., Baxter, S. L., Xu, J., Xu, J., Zhou, X., & Zhang, K. (2019). The practical implementation of artificial intelligence technologies in medicine. Nature Medicine, 25(1), 30–36.

Jiao, G., Li, L., Deng, H., Zheng, G., Zou, Y., & Zhao, J. (2020, June). Exploration on the cultivation of practical ability of artificial intelligence talents in universities in the context of innovation and entrepreneurship education. In 2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI) (pp. 186–189). IEEE. https://doi.org/10.1109/CSEI50228.2020.9142537

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(5), 6069–6104.

Popkova, E. G., & Gulzat, K. (2020). Technological revolution in the 21st century: Digital society vs. artificial intelligence. In the 21st century, from the positions of modern science: Intellectual, digital, and innovative aspects (pp. 339–345). Springer International Publishing.

Satolo, E. G., Hiraga, L. E. D. M., Zoccal, L. F., Goes, G. A., Lourenzani, W. L., & Perozini, P. H. (2020). Techniques and tools of lean production: Multiple case studies in Brazilian agribusiness units. Gestão & Produção, 27, e3252. https://doi.org/10.1590/0104-530X3252-20 (ใส่ DOI ถ้ามี)

Sharma, A., & Singh, B. J. (2020). Evolution of industrial revolutions: A review. International Journal of Innovative Technology and Exploring Engineering, 9(11), 66–73.

Small, J. S. (1994). The analogue alternative: A socio-economic history of the analogue computer in Britain and the USA, 1930–1975 [Doctoral dissertation, The University of Manchester (United Kingdom)].

Wooldridge, M. (2018). Artificial intelligence: Everything you need to know about the coming AI (Vol. 27). Penguin UK.

Zhanqiang, M. (2023). Strategies for cultivating the creative thinking ability of students majoring in educational technology. Frontiers in Educational Research, 6(19), 62–66.