A Multimodal Pedagogical Application of the Big Language Model in Foreign-Related Mechanical Engineering Education

Authors

  • Jinyu Liu
  • Congkai Lin
  • Yinxiao Yan

DOI:

https://doi.org/10.54097/9y0yk882

Keywords:

Big Language Modelling, Foreign-related Mechanical Engineering, Multimodal Teaching, Knowledge Mapping

Abstract

The in-depth application of Big Language Modelling (BLM) technology in engineering education has created a new paradigm for foreign-related mechanical engineering teaching. The developed teaching system integrates four modules: multilingual interaction, multimodal content generation, knowledge graph construction and teaching evaluation feedback. In the teaching practice of the 2024 academic year, the system supports real-time translation in 8 languages, the knowledge graph covers 150,000 knowledge nodes, and achieves 92% accuracy rate of engineering drawings. The application data shows that students‘ knowledge mastery is improved by 31%, practical ability is improved by 28%, and teachers’ work efficiency is improved by 38%. The research results provide a new teaching mode for international talent cultivation of mechanical engineering majors.

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Published

29-03-2025

Issue

Section

Articles

How to Cite

Liu, J., Lin, C., & Yan, Y. (2025). A Multimodal Pedagogical Application of the Big Language Model in Foreign-Related Mechanical Engineering Education. Journal of Education and Educational Research, 12(3), 93-96. https://doi.org/10.54097/9y0yk882