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

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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Publication Details

Journal
Journal of Education and Educational Research
Published
2025-03-29
DOI
https://doi.org/10.54097/9y0yk882
Primary Topic
Higher Education and Teaching Methods
Type
article
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article

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

Jinyu Liu, Yule Yan, Chia-Yen Lin
Journal of Education and Educational Research
Higher Education and Teaching Methods
article

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

Jinyu Liu, Yule Yan, Chia-Yen Lin
article en

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.

Journal of Education and Educational ResearchVol. 12(3)
Taizhou Vocational and Technical College (CN)
Openalex Percentile: Top 92%
Higher Education and Teaching Methods
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