Application and Prospect of Artificial Intelligence in Personalized Learning
DOI:
https://doi.org/10.54097/nzxx6z36Keywords:
Artificial intelligence; personalized learning; autonomous learning; learning path optimization.Abstract
With the rapid development of "big data, intelligence, cloud, things and mobile" technology, artificial intelligence has been widely used in the field of education, providing technical support for personalized learning. The traditional education model cannot meet the personalized needs of students. Education reform calls for the introduction of artificial intelligence technology to achieve the optimal allocation of educational resources and improve teaching effectiveness. The knowledge economy era has put forward higher requirements for talents' innovation ability and lifelong learning ability. Personalized learning is an important way to cultivate these abilities. This paper first takes the main application of artificial intelligence in personalized learning as the starting point, and then analyzes the advantages and challenges of artificial intelligence in personalized learning. It is concluded that artificial intelligence plays a positive role in innovating teaching methods, achieving educational equality, and giving new impetus to learning, but at the same time it also faces challenges in various aspects.
Downloads
References
[1] Wang Jingying. The impact of the development and application of artificial intelligence technology on higher education: opportunities, challenges and choices. Shanxi Youth, 2024, (08): 36-38.
[2] Gan Tian. Theoretical logic and ethical research on the personalized learning path enabled by artificial intelligence. Journal of Hunan Post and Telecommunications Vocational and Technical College, 2024, 23(03): 65-69+85.
[3] Luo Guofeng. Application scenarios and risk analysis of ChatGPT empowering higher education. Jiangsu Science and Technology Information, 2024, 41(16): 66-70.
[4] Di Jie. Research on personalized education and teaching ecology under the background of smart education. University, 2023, (35): 144-147.
[5] Chen Changyu, Li Ming, Luo Lijia. Construction of personalized learning model based on artificial intelligence [J]. Journal of Chongqing Second Normal University, 2021, 34(03): 118-121.
Downloads
Published
Issue
Section
License

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

