Building and Implementing a Human-AI Synergistic Education-Research Ecosystem Through Multi-Agent Collaboration
Based on the symbiosis theory, this study constructs a multi-intelligence collaborative evidence-based teaching and research model, aiming to solve the problems of insufficient personalization and low efficiency of knowledge innovation in traditional teaching and research. By analyzing the evolution path of multi-intelligence systems in education, we propose a theoretical model of “human-intelligence teaching and research symbiosis” and design a five-step evidence-based teaching and research model: human-intelligence co-knowledge, human-intelligence co-discussion, human-intelligence co-documentation, human-intelligence co-creativity, and human-intelligence co-doing. The model aims to promotes teachers' knowledge externalization and innovation through the mechanism of human-computer reciprocity, and achieves a systematic enhancement of the effectiveness of teaching and research.
Authors
- Guo Lin (ORCID: https://orcid.org/0000-0003-3390-5570)
- Yunzhen Liang
- Yue Wang (ORCID: https://orcid.org/0000-0002-9826-3276)
- Ziqi Shen (ORCID: https://orcid.org/0000-0002-4920-5731)
Institutions
- Henan Normal University (CN)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/icaie64856.2025.11158579
- Primary Topic
- Engineering Education and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00