Research in the Application of AI and LLM in Educational Field
DOI:
https://doi.org/10.54097/5e0e1w47Keywords:
Large language model; Educational application; Artificial intelligence.Abstract
Recently, AI and large language models, represented by ChatGPT4, have developed rapidly, accomplishing various practical functions such as human-computer interaction and information integration. The large language model provides necessary technical support in the field of education. As a result, an increasing number of researchers are exploring the feasibility and prospects of applying AI and large language models in various fields. This paper analyzes the application of AI and large language models in education, including professional education such as art and mathematics, as well as general education and high school and social education. It analyzes the advantages, disadvantages, and deficiencies of AI in education by analyzing the commonalities of studies from different perspectives and proposes development directions for the future application of AI in education. The main purpose of this article is to analyze the current application of AI and large models in the field of education, while also providing convenience for future researchers in this field.
Downloads
References
[1] Lee U, Jeon M, Lee Y, Byun G, Sone Y, Shin J, Ko H, & Kim H. LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education. Computers and Education: Artificial Intelligence, 2024, 7, 100297.
[2] Meissner R, Pögelt A, Ihsberner K, Grüttmüller M, Tornack S, Thor A, Pengel N, Wollersheim H-W, & Hardt W. LLM-generated competence-based e-assessment items for higher education mathematics: methodology and evaluation. Front. Educ., 2024, 9, 1427502.
[3] Neumann A T, Yin Y, Sowe S, Decker S, & Jarke M. An LLM-Driven Chatbot in Higher Education for Databases and Information Systems. IEEE Transactions on Education, 2024, 1.
[4] Chen X, & Du Y. Adaptation and transformation of international Chinese language teachers in the era of smart education—A discussion based on the application of large language models. Journal of Yangzhou University (Higher Education Research Edition), 2024, 28(5), 41-50.
[5] Cui X L. The dilemma and countermeasures of written language expression for Chinese second language learners. World Chinese Language Teaching, 2024, 38 (04): 435-447.
[6] Wang Z L. Digital Transformation of Educational Examinations with Cognitive Intelligence Models. Journal of China Examinations, 1005-8427, 2023, 08-0011-8.
[7] Wei M, Luo K, Tang M, Zhu W, & Yin K. Research on the application of large language model (LLM) embedded in scenario-based services in smart libraries. Library Theory and Practice. 2024.
[8] Alqahtani T, Badreldin H A, Alrashed M, Alshaya A I, Alghamdi S S, Saleh K B, Alowais S A, Alshayab O A, Rahman I, Al Yami M S, & Albekairy A M. The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Research in Social and Administrative Pharmacy, 2023, 19, 1236–1242.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







