The Current Status and Trends of the Application of Large Language Models in the Field of Education

In recent years, with the development of Natural Language Processing (NLP), Significant progress has been made in Large Language Models (LLMs) based on Deep Learning algorithms, which have been widely applied in multiple fields. In the field of education, LLMs has shown great potential for application in multiple aspects, such as providing real-time feedback, lowering educational barriers, promoting personalized learning, etc. Researchers gradually realized that using LLMs can effectively address many pain points in current education. This article provides an overview of the related technologies of LLMs, analyzed the application of some technologies in education, proposed the advantages of applying LLMs in education, and analyzed the challenges faced by LLMs in educational applications and the existing response plans, finally discussed the future development trends of LLMs in the field of education. The research shows that Large Language Models have excellent application effects and broad application prospects in education, and are expected to become an important tool to promote the process of education intelligence and personalization in the future education system.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-02-21
DOI
https://doi.org/10.54254/2755-2721/2025.21088
Citations
1
Primary Topic
Educational Systems and Policies
Type
article
Field-Weighted Citation Impact
3.25
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article

The Current Status and Trends of the Application of Large Language Models in the Field of Education

Haiyan Shang
1 citations
Applied and Computational Engineering
Educational Systems and Policies
3.25
article

The Current Status and Trends of the Application of Large Language Models in the Field of Education

Haiyan Shang
article en
1 citations

Abstract

In recent years, with the development of Natural Language Processing (NLP), Significant progress has been made in Large Language Models (LLMs) based on Deep Learning algorithms, which have been widely applied in multiple fields. In the field of education, LLMs has shown great potential for application in multiple aspects, such as providing real-time feedback, lowering educational barriers, promoting personalized learning, etc. Researchers gradually realized that using LLMs can effectively address many pain points in current education. This article provides an overview of the related technologies of LLMs, analyzed the application of some technologies in education, proposed the advantages of applying LLMs in education, and analyzed the challenges faced by LLMs in educational applications and the existing response plans, finally discussed the future development trends of LLMs in the field of education. The research shows that Large Language Models have excellent application effects and broad application prospects in education, and are expected to become an important tool to promote the process of education intelligence and personalization in the future education system.

Applied and Computational EngineeringVol. 135(1)
Harbin Institute of Technology (CN)
Openalex Percentile: Top 11%
Educational Systems and Policies
3.25
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