Research on the Construction of Human-Machine Collaborative Teaching Model in Universities Based on Symbiosis Theory_Vol. 3 No. 1 (JHET 2026)_Journal of Higher Education Teaching (ISSN: 3005-5776)

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Research on the Construction of Human-Machine Collaborative Teaching Model in Universities Based on Symbiosis Theory

DOI: https://doi.org/10.62517/jhet.202615104

Author(s)

Weida Zhan*, Yanfeng Tang, Ziqiang Hao, Wenting Liu

Affiliation(s)

Institute of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, Jilin, China *Corresponding Author

Abstract

With the development of artificial intelligence technology, human-machine collaborative education has become the theoretical foundation for promoting the transformation of teaching and learning methods and exploring the mechanism of learning occurrence in the artificial intelligence era, and has reshaped the patterns of teaching and learning for teachers and students. Technology-empowered smart education to advance the design and practice of human-machine collaborative education systems has become a major research focus at present. Based on a review of the relevant academic history, this paper conducts a dialectical integration study of symbiosis theory and human-machine collaborative teaching, explores the construction of symbiotic units, symbiotic models and symbiotic environments in the human-machine collaborative teaching model of universities, and takes the course Circuit Analysis as a carrier to discuss the implementation path of the symbiotic teaching model. The research aims to promote the advancement of human-machine collaborative teaching from the intermediate stage to the advanced stage, drive the in-depth integration of intelligent technology and classroom teaching, and boost the high-quality development of future education.

Keywords

Artificial Intelligence in Education; Symbiosis Theory; Human-Machine Collaboration; Teaching Model

References

[1] Fang H.G., Kong X.M, Liu H.W, Wang X.C. Research on Cooperative Game and Optimization Strategies of Human-Computer Collaborative Education Subjects Based on Symbiosis Theory. E-education Research, 2024, 45(01):21-27. DOI:10. 13811/j.cnki.eer.2024.01.003. [2] Yang L.L. Application of Symbiosis Theory in the Field of Social Sciences. Forum of Social Sciences, 2010(16): 149-157. DOI:10.14185/j.cnki.issn1008-2026. 2010.16.018. [3] Wu F.T., Tian H. Precision Learning Intervention of Human-Computer Collaboration: Dynamic Mechanism, Logical Approach and Practical Model. Open Education Research: 2023, 29 (02):81-90. DOI:10.13966/j.cnki.kfjyyj. 2023.02.010. [4] Liu G.P., Nong L.Q. Human-Computer Symbiotic Intelligent Teaching: Patterns, Mechanisms and Realization Paths. Journal of Guangxi Normal University (Philosophy and Social Sciences Edition), 2025, 61(04):63-75.DOI:10.16088/j.issn.1001-6597.2025.04.006. [5] Qin Y. Research on the Balanced Allocation of Teachers in Basic Education from the Perspective of Symbiosis Theory ——A Case Study of Tianjin City. Dissertation of Tianjin University of Commerce, 2020. DOI:10.27362/d.cnki. gtsxy.2020.000167. [6] Fang H.G., Kong X.M., Li H.Y., Zheng Z.H.A Study on the Theory of Human-Computer Collaborative Education in the Era of Artificial Intelligence. Modern Educational Technology, 2022, 32 (07):5-13. [7] Wang S.C., Fang H.G., Zhang G., Ma T. Research on a New Type of "Dual-teacher Classroom" Supported by Artificial Intelligence Educational Robots ——Also on the Instructional Design of "Human-Computer Collaboration" and Its Future Prospect. Journal of Distance Education, 2019, 37(02):25-32. DOI: 10.15881/j. cnki. cn33-1304/g4. 2019.02.004. [8] Zhang X.J., Dong X, H. Human-Computer Symbiosis: The Development Trend of the Artificial Intelligence Era and Its Education. E-education Research, 2020, 41 (04):35-41. DOI:10.13811/j.cnki.eer.2020.04.005. [9] Zhu Y.M., Liu H., Li Y.W., Wang L. Hierarchical Structure of Human-Computer Collaborative Intelligence and the New Landscape of Teachers' Occupational Forms in the Era of Intelligent Education. E-education Research, 2019, 40 (01):104-112+120.DOI:10.13811/j.cnki.eer.2019.01.013. [10]Zhou F. Current Status and Problem Analysis of AI-enabled Teaching Reform in Application-oriented University Courses, Proceedings of the Science and Education Sub-forum of the 2025 Higher Education Development Forum (Volume 1), Zhengzhou, Henan, China. 2025.09.30. DOI:10.26914/c.cnkihy.2025.056422. [11]Tang J, Li B. Reform and Practice of Innovation and Entrepreneurship Education Curriculum Models in Higher Education from a Human-Machine Collaboration Perspective. Journal of Navigation Education and Research, 2025, 42(03).