Journal of Networking Technology Yexin Shao 16 1 2025 https://doi.org/10.6025/jnt/2025/16/1/17-24 https://www.dline.info/jnt/fulltext/v16n1/jntv16n1_3.pdf 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.