Abstract
This study explores how Generative AI (GenAI) is transforming creative design education through the development of a Dynamic Learning Ecosystem. Grounded in Activity Theory, we conducted a mixed- method study involving surveys, workshops, and interviews (N=38) across seven design disciplines. We addressed how different GenAI teaching approaches affect learning outcomes, challenges in integration, and effective educational framework construction. Our findings led to a multi-tiered Dynamic Learning Ecosystem framework, comprising modularized tool guides, integrative workflow practices, and contextualized knowledge synthesis. This framework offers practical methods for integrating GenAI in design education, enhancing students’ adaptability and competences in evolving technological environments.
Keywords
Generative AI; Creative Design Education; Dynamic Learning Ecosystem; AI Literacy
DOI
https://doi.org/10.21606/iasdr.2025.520
Citation
Li, X., He, Z., Xi, L., Zeng, S., Zhang, D.,and Fan, L.(2025) Generative AI Meets Creative Design: Shaping a Dynamic Learning Ecosystem, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.520
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 12 - Design Education
Generative AI Meets Creative Design: Shaping a Dynamic Learning Ecosystem
This study explores how Generative AI (GenAI) is transforming creative design education through the development of a Dynamic Learning Ecosystem. Grounded in Activity Theory, we conducted a mixed- method study involving surveys, workshops, and interviews (N=38) across seven design disciplines. We addressed how different GenAI teaching approaches affect learning outcomes, challenges in integration, and effective educational framework construction. Our findings led to a multi-tiered Dynamic Learning Ecosystem framework, comprising modularized tool guides, integrative workflow practices, and contextualized knowledge synthesis. This framework offers practical methods for integrating GenAI in design education, enhancing students’ adaptability and competences in evolving technological environments.