[1]XIAO Jianli,HUANG Xingyu,JIANG Fei.A survey of large language models in smart education[J].CAAI Transactions on Intelligent Systems,2025,20(5):1054-1070.[doi:10.11992/tis.202406040]
Copy
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
20
Number of periods:
2025 5
Page number:
1054-1070
Column:
综述
Public date:
2025-09-05
- Title:
-
A survey of large language models in smart education
- Author(s):
-
XIAO Jianli1; HUANG Xingyu1; JIANG Fei2
-
1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2. Chongqing Academy of Science and Technology, Chongqing 401123, China
-
- Keywords:
-
artificial intelligence; smart education; large language models; educational technology; natural language processing; educational applications; multimodal learning; learning analytics
- CLC:
-
TP18
- DOI:
-
10.11992/tis.202406040
- Abstract:
-
In recent years, the application of artificial intelligence (AI) technology in education has gradually advanced the modern educational model. Education currently faces new opportunities and challenges. In particular, with the emergence of large language models (LLMs), AI is expected to be integrated into the teaching and learning processes. The traditional teacher-student binary model of education is transforming into a teacher–student–machine tripartite model. This study aims to focus on LLMs applied in the field of education and introduce the characteristics of them. It takes the current mainstream LLMs as examples and elaborates on their actual applications in education in detail. It summarizes the common and distinctive features of educational large models (EduLLMs). In addition, this study also discusses how to develop and train customized LLMs to meet the needs of education. This process is very important for practical applications. Based on the trained EduLLMs, this study further explains its limitations and explores the possibility and its development trend in new EduLLMs.