The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology

Fangyuan He; Ni Guo; Ming Lu; Haiyan Zhao

doi:10.47297/wspiedWSP2516-250014.20261004

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The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology

10卷第4期

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The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology
The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology
College of Applied Science and Technology, Beijing Union University, Beijing 100101, China
2026年10卷第4期页码：67-71
纸质出版：2026-04-30
DOI：10.47297/wspiedWSP2516-250014.20261004
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Fangyuan He, Ni Guo, Ming Lu & Haiyan Zhao. (2026). The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology. 国际教育与发展（英文版）, 10(4), 67-71.

He Fangyuan,Guo Ni,Lu Ming,et al.The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology[J].Journal of International Education and Development,2026,10(04):67-71.
Fangyuan He, Ni Guo, Ming Lu & Haiyan Zhao. (2026). The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology. 国际教育与发展（英文版）, 10(4), 67-71. DOI： 10.47297/wspiedWSP2516-250014.20261004.

He Fangyuan,Guo Ni,Lu Ming,et al.The Mechanism, Impact and Future Development of Collaborative Learning Strategies in Applied Universities Based on Large Model Technology[J].Journal of International Education and Development,2026,10(04):67-71. DOI： 10.47297/wspiedWSP2516-250014.20261004.

摘要

Abstract

Against the backdrop of advancing the "Artificial Intelligence + Education" strategy

large-scale model technologies—characterized by interdisciplinary knowledge integration

dynamic interactive responses

and low-entry application requirements—have pioneered innovative pathways for collaborative learning reforms in applied universities. This study focuses on the core positioning of "practice-oriented education and industry-academia integration" in applied institutions. It systematically analyzes the internal mechanism of large model-enabled collaborative learning

deeply explores its multi-dimensional impact on learning modes

teaching systems

and talent cultivation

and combines industry needs and technology iteration trends to anticipate future development directions

providing theoretical references and practical paradigms for application-oriented universities to build an intelligent collaborative learning ecosystem.

关键词

Keywords

references

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