LAUSR

The study aims to explore the influence of big data on college students' learning methods of ideological and political education (IPE) under artificial intelligence. First, the characteristics of big data are analyzed. Second, big data is introduced into IPE's classroom teaching, and its influence on students' learning methods is discussed. Finally, the questionnaire is designed to investigate students' learning attitudes and teachers' effectiveness. The results show that the scores of the students are poor, and the traditional teaching method should be updated to improve the teaching quality of IPE. Motivating students' enthusiasm and updating the teaching content are the main tasks to improve students' learning effect on IPE. College students who receive IPE based on big data have better academic performance and a positive learning attitude, and each factor is more significant than 0.05. It is concluded that big data has a considerable impact on IPE. It can promote students' mastery of the knowledge and improve their learning efficiency.