The biomechanics-inspired application of AI technology in English essay correction

This paper explores the application of AI technology in the field of English essay grading, inspired by biomechanics. Biomechanics, which studies the mechanical aspects of biological systems, offers unique insights that can be analogously applied to the grading of English compositions. Just as biomechanics analyzes the complex structures and functions of biological entities by understanding the relationships between different components, we focus on natural language processing (NLP) and machine learning algorithms, with the primary objective is to analyze how these advanced technologies, inspired by biomechanical concepts, can enhance the accuracy, efficiency, and objectivity of grading English compositions. By employing various NLP techniques such as lexical analysis, syntactic parsing, and semantic understanding, combined with machine learning models for classification and regression, the study demonstrates significant improvements in grading performance. The findings indicate that AI-powered systems, inspired by biomechanics, can provide consistent and reliable evaluations, thus offering valuable support to educators and students alike.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2025-03-04
DOI
https://doi.org/10.62617/mcb1525
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
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article

The biomechanics-inspired application of AI technology in English essay correction

Jinsheng Wang
Molecular & cellular biomechanics
Educational Technology and Pedagogy
article

The biomechanics-inspired application of AI technology in English essay correction

Jinsheng Wang
article en

Abstract

This paper explores the application of AI technology in the field of English essay grading, inspired by biomechanics. Biomechanics, which studies the mechanical aspects of biological systems, offers unique insights that can be analogously applied to the grading of English compositions. Just as biomechanics analyzes the complex structures and functions of biological entities by understanding the relationships between different components, we focus on natural language processing (NLP) and machine learning algorithms, with the primary objective is to analyze how these advanced technologies, inspired by biomechanical concepts, can enhance the accuracy, efficiency, and objectivity of grading English compositions. By employing various NLP techniques such as lexical analysis, syntactic parsing, and semantic understanding, combined with machine learning models for classification and regression, the study demonstrates significant improvements in grading performance. The findings indicate that AI-powered systems, inspired by biomechanics, can provide consistent and reliable evaluations, thus offering valuable support to educators and students alike.

Molecular & cellular biomechanicsVol. 22(4)
Liuzhou General Hospital (CN)
Openalex Percentile: Top 98%
Educational Technology and Pedagogy
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