Deep Learning-based Ideological and Political Education Intelligent Classroom Research

Abstract

With the rapid development of deep learning technology, the application of deep learning in the field of education has become an important way to improve the effect of ideological and political education. The purpose of this paper is to deeply explore the feasibility of applying deep learning technology to build a intelligent classroom in ideological and political education. First, the basic principles of deep learning are introduced in detail, including the structure of neural network and the training process . Then, the application of deep learning in the field of education, such as the research results of student behavior analysis, learning outcome prediction and personalized teaching, is elaborated. Then, the value and significance of intelligent classroom in Ideological and Political Education are discussed, such as enhancing students' ideological and moral qualities through intelligent teaching tools and personalized learning resources, and the design framework of Deep Learning-based intelligent Classroom is proposed, including the elements of intelligent integration of teaching resources, personalized guidance of the learning process and real-time analysis of students' performance. Finally, the validity of the framework is verified through empirical research, and the impact of the intelligent classroom on ideological education is discussed. The results show that deep learning technology has an important application value in the construction of a intelligent classroom for civic and political education. This paper has important reference significance for improving the effect of Civic and Political Education.