With the rapid rise of China’s artificial intelligence industry, with the rapid development of the Internet industry, a huge amount of data has been accumulated, and the progress of data mining and utilization technology has been made. The effects of data, technology and policies are superimposed on each other, which has spawned many new artificial intelligence enterprises. With the rapid arrival of the network information society, using the advantages of big data to break the limitations of traditional education evaluation has become the reality and technical logic of the integrated development of information technology and education evaluation. In the specific application, it is mainly presented as education and teaching quality evaluation, learning behavior effect evaluation, management service quality evaluation, government education policy performance evaluation, etc. The development of modern science and technology provides all-round support for the establishment of scientific education evaluation. The deep integration of artificial intelligence, big data and education plays an important technical supporting role in the reform of education evaluation. With the in-depth development of information technology, technologies such as the Internet, Internet of Things, and cloud computing have successively become commonly used technologies in people’s daily work and life. In the education industry, informatization construction promotes education construction from application-driven to data-driven, and campus construction moves from “digital campus” to “smart campus”. And all this has brought about a change, that is, the explosive growth of the amount of data. The arrival of the era of big data brings not only opportunities but also challenges to the development of all walks of life. Postgraduate education is the highest level of higher education and plays a vital role in the social development, technological and economic development of China. Under the current trend of rapid development of the Internet and the diversification of evaluation subjects, how to evaluate the quality of postgraduate education has become the focus of scholars. This study uses big data to construct a quality evaluation index system for postgraduate education by using AHP and proposes strategies to improve the quality of postgraduate education in China.
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Share and Cite
Ding, L., Du, Q. (2025) Evaluation and Analysis of University Education Quality Based on Internet Artificial Intelligence Big Data Algorithm. Global Education Bulletin, 1(1):30-42.