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.

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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
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article

Building and Implementing a Human-AI Synergistic Education-Research Ecosystem Through Multi-Agent Collaboration

Guo Lin, Yunzhen Liang, Yue Wang, Ziqi Shen
Engineering Education and Technology
article

Building and Implementing a Human-AI Synergistic Education-Research Ecosystem Through Multi-Agent Collaboration

Guo Lin, Yunzhen Liang, Yue Wang, Ziqi Shen
article en

Abstract

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.

Henan Normal University (CN)
Openalex Percentile: Top 62%
Engineering Education and Technology
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