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http://hdl.handle.net/10397/121771
| Title: | Rethinking hybrid human-AI intelligence in learning : the AI-augmented creative resilience framework | Authors: | Ma, H Chung, KY |
Issue Date: | 2026 | Source: | In Chen, J., Leung, A., Tsang, E., Ng, A., Chau, J., Kam, R., Patel, M., Lo, D., Tam, B., Chon, L., Cheung, K., Tang, E., & Ho, K. (Eds.). Collection of Selected Papers from the International Conference on GenAI and Pedagogical Innovations 2026, p. 526-529. Hong Kong : Educational Development Centre, Hong Kong Polytechnic University, 2026 | Abstract: | The increasing adoption of Generative Artificial Intelligence (GenAI) in creative learning environments is reshaping how intelligence, creativity, and agency are understood within higher education. This integration introduces significant psychological stressors, particularly Creative Displacement Anxiety (CDA). This conceptual paper proposes the AI-Augmented Creative Resilience Framework (AICRF) to conceptualise hybrid human-AI intelligence as a cyclical process of recognition, reframing, co-creation, and regeneration. The framework demonstrates how learners transition from fears of obsolescence toward sustained agency. By positioning AI as a collaborative partner, the AICRF provides actionable pedagogical strategies for design education. The model highlights that AI literacy requires both technical mastery and the emotional regulation necessary for effective human-AI collaboration. | Keywords: | Creative Displacement Anxiety (CDA) Creative resilience Design education Generative artificial intelligence (GenAI) Human–AI collaboration |
Description: | International Conference on GenAI and Pedagogical Innovations (GaPI), Hong Kong, 20-22 May 2026 | Rights: | Copyright © 2026 Copyright of the papers is retained by the authors. No part of this collection may be reproduced by any process without prior written permission of the copyright holders. Posted with permission of the publisher. |
| Appears in Collections: | Conference Paper |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Ma_Rethinking_Hybrid_Human-AI.pdf | 110.08 kB | Adobe PDF | View/Open |
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