Application of Artificial Intelligence Neural Network Technology in the Evaluation in Universities

This paper explores the application of artificial intelligence neural network technology in evaluating university education.Reviewing the latest domestic and foreign research progress shows that traditional evaluation methods suffer from subjectivity and lack of objective data support.The basic principles and successful application cases of neural network technology are elaborated to lay the foundation for its application in evaluating the effectiveness of education in universities.The paper provides a detailed introduction to the application of technologies such as deep learning, natural language processing, and data mining, as well as how to accurately assess the effectiveness of education in universities by constructing models.An experimental design is presented, and the use of data validates the feasibility and effectiveness of the proposed method.This approach is expected to promote education development and improve the quality and level of education in universities.

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Publication Details

Journal
Journal of Networking Technology
Published
2025-03-01
DOI
https://doi.org/10.6025/jnt/2025/16/1/17-24
Primary Topic
Advanced Technologies in Various Fields
Type
article
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article

Application of Artificial Intelligence Neural Network Technology in the Evaluation in Universities

Yiyu Shao
Journal of Networking Technology
Advanced Technologies in Various Fields
article

Application of Artificial Intelligence Neural Network Technology in the Evaluation in Universities

Yiyu Shao
article en

Abstract

This paper explores the application of artificial intelligence neural network technology in evaluating university education.Reviewing the latest domestic and foreign research progress shows that traditional evaluation methods suffer from subjectivity and lack of objective data support.The basic principles and successful application cases of neural network technology are elaborated to lay the foundation for its application in evaluating the effectiveness of education in universities.The paper provides a detailed introduction to the application of technologies such as deep learning, natural language processing, and data mining, as well as how to accurately assess the effectiveness of education in universities by constructing models.An experimental design is presented, and the use of data validates the feasibility and effectiveness of the proposed method.This approach is expected to promote education development and improve the quality and level of education in universities.

Journal of Networking TechnologyVol. 16(1)
Southeast University (CN)
Openalex Percentile: Top 95%
Advanced Technologies in Various Fields
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