A New Realm of Human-AI Co-Creative Learning: AI Empowered Science and Innovation Education
Science and innovation education is an important way to cultivate innovative talents. The rise of generative artificial intelligence provides an opportunity for empowering the education model of science and innovation education. This study deeply analyzes the connotation of creativity in the intelli...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Journal Press of Southwest University
2025-07-01
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| Series: | Jiaoshi jiaoyu xuebao |
| Subjects: | |
| Online Access: | https://xbgjxt.swu.edu.cn/article/doi/10.13718/j.cnki.jsjy.2025.04.002 |
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| Summary: | Science and innovation education is an important way to cultivate innovative talents. The rise of generative artificial intelligence provides an opportunity for empowering the education model of science and innovation education. This study deeply analyzes the connotation of creativity in the intelligent era, clarifies the differences and relationships between human creativity and AI creativity, and elaborates on a theoretical framework for creative learning, including dialog theory, group creativity theory, knowledge building theory and constructivism, thereby constructing a human-AI symbiosis for creative learning model empowered by AI for science and technology education. Under this model, the project theme should possess characteristics of interest, openness, relevance, sense of meaning, and value, driving interest-based human-AI co-creative learning. The design of the creativity-focused learning environment should be based on the 4P framework (Project, Passion, Peers, Play) to create a controllable and safe "micro-world" for learners. The learning process should follow the design thinking process, encompassing problem identification and problem-solving phases. Additionally, the learning model can refer to the hackathon model, completing specific creative tasks through teamwork in a short time. Finally, the study takes "Digital Game Production" as a case to analyze the practical application of this model in detail, aiming to provide a new path for the future human-AI co-creative learning model. |
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| ISSN: | 2095-8129 |