ER

Article http://dx.doi.org/10.26855/er.2025.03.011

The Construction of a “Six-Element Collaborative” Teaching Mode Driven by the Large Language Models: A Digital Transformation Path for Higher Vocational and Undergraduate Education English Teaching Articulation

TOTAL VIEWS: 259

Xiuwen Li*, Yi Sun

School of Foreign Languages, Changchun University of Technology, Changchun 130000, Jilin, China.

*Corresponding author: Xiuwen Li

Published: April 14,2025

Abstract

Against the background of popularization and digital transformation of higher education, the English teaching cohesion of higher vocational and undergraduate education is faced with such realistic difficulties as knowledge gap, competence mismatch, and inaccurate evaluation. This paper presents a “six-element collaborative” teaching model using Large Language Models (LLMs) to address these issues. The innovation of the research is reflected in: the first proposal of a “six-elements of collaborative” theoretical framework, which systematically deconstructs the complex ecology of higher vocational and undergraduate English education articulation education; and the development of six practice scenarios for the application of the Large Language Models in education, which realizes a paradigm breakthrough from technological empowerment to the reconstruction of the educational ecology. The results provide replicable articulation education solutions for the digital transformation of education and have important reference value for the construction of a vertically integrated modern vocational education system.

References

Chen, L., Li, B., Guo, Y., & Peng, D. (2017). New trends and orientations of Chinese basic education informatization in “internet+” era. e-Education Research, 38(05), 5-12+27.

Downes, S. (2022). Connectivism. Asian Journal of Distance Education, 17(01).

Feng, Q., & Zhang, K. (2024). Exploring the capabilities of artificial intelligence in assisting foreign language teaching and research—A case study of ChatGPT-4o and Wenxin model 4.0. Technology Enhanced Foreign Language Education, (03), 3-12+109.

Li, H., Jiang, X., & Xun, L. (2025). The basic attributes, connotation of elements and main characteristics of specialized teaching standards in vocational education. Chinese Vocational and Technical Education, (03), 5-12.

Liu, M., Wu, Z., & Liao, J. (2023). Educational applications of Large Language Models: Principles, status and challenges—From light-weighted BERT to conversational ChatGPT. Modern Educational Technology, 33(08), 19-28.

Liu, Z., Hwang, G., Chen, C., Chen, X., & Ye, X. (2024). Integrating large language models into EFL writing instruction: effects on performance, self-regulated learning strategies, and motivation. Computer Assisted Language Learning, 1-25.

Siemens, G. (2004). Connectivism: A Learning Theory for the Digital Age. elearnspace.org. http://www.elearnspace.org/Articles/connectivism.htm

Wang, X., REYNOLDS., & Barry Lee. (2024). Beyond the books: Exploring factors shaping Chinese English learners’ engagement with large language models for vocabulary learning. Education Sciences, 14(5), 496.

How to cite this paper

The Construction of a “Six-Element Collaborative” Teaching Mode Driven by the Large Language Models: A Digital Transformation Path for Higher Vocational and Undergraduate Education English Teaching Articulation

How to cite this paper: Xiuwen Li, Yi Sun. (2025). The Construction of a “Six-Element Collaborative” Teaching Mode Driven by the Large Language Models: A Digital Transformation Path for Higher Vocational and Undergraduate Education English Teaching Articulation. The Educational Review, USA9(3), 346-353.

DOI: http://dx.doi.org/10.26855/er.2025.03.011