Research on the Intelligent Model of Ideological and Political Teaching in Colleges and Universities Based on Artificial Intelligence

To promote the intelligent upgrading of ideological and political teaching in colleges and universities and address the problem that learning engagement status is difficult to accurately quantify in traditional teaching, this study explores the innovative application of artificial intelligence technology in ideological and political classroom teaching. A student behavior dataset adapted to the scenario of ideological and political classrooms was constructed, providing core data support for intelligent teaching analysis; a high-precision behavior recognition scheme integrating human posture and interactive object features was proposed. By extracting global human posture features through the OpenPose algorithm and capturing local interactive object features with the YOLO v3 algorithm, accurate recognition and analysis of students' learning behaviors were realized, effectively improving the recognition accuracy; the model structure was further optimized through compression and lightweight design, reducing the model's space occupation and time consumption to meet the demand for real-time classroom analysis. Four core behaviors closely related to learning engagement in ideological and political classrooms—upright sitting, side sitting, head lowering, and hand raising—were selected for verification. The results show that the comprehensive accuracy of the proposed detection and recognition method on the validation set reaches 95.45%, and the recognition performance for high-frequency interactive behaviors such as mobile phone use and writing in classrooms is significantly improved compared with the original model. This study provides data-driven technical support for ideological and political teachers to efficiently grasp students' learning status, scientifically optimize teaching design, and accurately implement teaching interventions, contributing to the construction of an intelligent and personalized new model of ideological and political teaching in colleges and universities.​