
Exploring the Cultivation of Digital Intelligence Design Talents: A Case Study of Human–AI Co-Creation in Forward-Looking Robotic Application Scenarios
Jun Deng, Yimeng Zhang, Tin-Man Lau, Shuhan Huang
Frontiers of Digital Education ›› 2025, Vol. 2 ›› Issue (1) : 9.
Exploring the Cultivation of Digital Intelligence Design Talents: A Case Study of Human–AI Co-Creation in Forward-Looking Robotic Application Scenarios
This study examined the application of artificial intelligence (AI) technology in design education and its broader impact on the design industry. It analyzed the potential of AI in design and creative processes, emphasizing the importance of cultivating digital intelligence design talent. Through case studies and teaching experiments, the research revealed how AI tools can enhance design efficiency, democratize design processes, and stimulate creativity. The study addressed the limitations and challenges of AI tools in design education and offered future research directions, highlighting the importance of human-centered design, lifelong learning, and the role of higher education in integrating AI technology within design curricula.
design education / digital intelligence design talents / artificial intelligence (AI) / human–AI co-creation
[1] |
Benkhalfallah, F., Laouar, M. R., & Benkhalfallah, M. S. (2024). Empowering education: Harnessing artificial intelligence for adaptive e-learning excellence. In: Proceedings of Artificial Intelligence and Its Practical Applications in the Digital Economy 2024. Cham: Springer, 41–55.
|
[2] |
Curedale, R. A. (2013). Design thinking: Process and methods manual. Topanga: Design Community College Inc.
|
[3] |
Espejel, J. N, Ettifouri, E. H., Alassan, M. S., Chouham, E. M., & Dahhane, W. (2023). GPT-3.5, GPT-4, or BARD? Evaluating LLMs reasoning ability in zero-shot setting and performance boosting through prompts. Natural Language Processing Journal, 5, 100032.
|
[4] |
Ministry of Education, People’s Republic of China (MoE). (2014, May 28). Information technology application ability standards for primary and secondary school teachers (trial). Available from MoE website. (in Chinese).
|
[5] |
Ministry of Education, People’s Republic of China (MoE). (2019, November 13). Measures for the registration and management of educational mobile internet applications. Available from MoE website. (in Chinese).
|
[6] |
Ministry of Education, People’s Republic of China (MoE). (2022, December 2). Education sector standard on teachers’ digital literacy. Available from MoE website. (in Chinese).
|
[7] |
Muller, M., Chilton, L. B., Kantosalo, A., Martin, C. P., & Walsh, G. (2022). GenAICHI: Generative AI and HCI. In: Proceedings of the Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, 110.
|
[8] |
Oh, C., Song, J., Choi, J., Kim, S., Lee, S., & Suh, B. (2018). I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence. In: Proceedings of 2018 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, 649.
|
[9] |
Sbai, O., Elhoseiny, M., Bordes, A., LeCun, Y., & Couprie, C. (2019). DesIGN: Design inspiration from generative networks. In: Proceedings of Computer Vision—ECCV 2018 Workshops. Cham: Springer, 37–44.
|
[10] |
UNESCO
|
[11] |
UNESCO
|
[12] |
Wu, Z. H., Ji, D. W., Yu, K. W., Zeng, X. X., Wu, D. M., & Shidujaman, M. (2021). AI creativity and the human–AI co-creation model. In: Proceedings of the 23rd HCI International Conference 2021. Heidelberg: Springer, 171–190.
|
[13] |
Zhang, C., & Han, T. (2024). A review of multimodal creative state recognition in human–AI collaborative design. Newsletter of the Chinese Association for Artificial Intelligence, (4), 10–15. (in Chinese).
|
/
〈 |
|
〉 |