RETRACTED: Analysis of Ideological and Political Classroom Based on Artificial Intelligence and Data Mining Technology (Retracted Article)

With the continuous innovation of science and technology, the teaching system at home and abroad has also been reformed and optimized in combination with artificial intelligence, big data, and other technical means. As the main part of teaching activities, students' emotional change in classroom activities is one of the important indicators that affect their learning effect and comprehensive learning achievement. Accurate analysis and judgment of students' emotional changes are the main basis for teachers to evaluate teaching quality and improve teaching methods. Based on the above situation, this paper uses artificial intelligence and data mining technology to explore the emotional change process and influencing factors of students in ideological and political teaching classroom. Firstly, the artificial intelligence neural network algorithm is used to construct the face recognition model to improve the problem of low accuracy in the traditional recognition process. A dynamic minimum algorithm is designed to improve the operation speed of students' emotion analysis. Finally, data mining technology is used to obtain students' behavior data in the big data environment to provide data support for students' emotional analysis model in ideological and political class. The results show that the student emotion analysis model based on artificial intelligence and data mining technology can be applied and run in various teaching environments.