Research on the Impact of AI on University Student Learning based on Principal Component Analysis and Factor Analysis Methods

Abstract

Artificial intelligence (AI) was introduced in 1956 by scientists from McCarthy and Minsky held at Dartmouth College in the United States. Its rapid development has a different depth of impact on all social strata, but also has a great impact on the education industry, especially for the future college students of the motherland. This paper uses the formal statistical data of the questionnaire to analyze and establish the mathematical model to understand the influence of artificial intelligence on college students in different aspects. First, the raw data is visualized and numericized. Secondly, the analysis results of the data are taken as the evaluation index and comprehensively considered from many aspects such as priority, scientificity and operability. We used principal component analysis and factor analysis to measure each index reasonably. Finally, a comprehensive evaluation method is used to evaluate the influence of AI on college students' learning.