Investigating AI technology use in English studies for the explanation and analysis of biomechanical studies’ results
Year: 2025
Type: article
Abstract: The use of artificial intelligence (AI) technology in English education has promised new possibilities in the explanation and interpretation of technical biomechanical research analysis. This article investigates how artificial intelligence is filling the gap between factual biomechanical data and relevant, meaningful information needed from an educational perspective, by making it possible for different groups to comprehend it. Instructors, educators, and learners are now able to accomplish much more by utilizing visualizations, language processing (NLP), and adaptive learning. This article investigates the technology-related barriers to interdisciplinary communication, analyzes the efficacy of AI-related tools deployed, and presents a case study on the use of AI instruction and guidance on fundamental biomechanical concepts. The results from this study suggest that AI may provide fresh avenues for making biomechanical research more engaging to English learners, thus improving scientific literacy and fostering interdisciplinary collaboration. The work ends with some comments intended for educators and researchers to look for smarter ways of manipulating AI technology in English teaching and learning in a science-focused world.
DOI: 10.62617/mcb1526
Author: Huilian Zhong
Institution: Guilin University of Electronic Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408208342