Affiliations:
Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, China
Correspondence:
[*]
Corresponding author. Ying Luo, Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, China, 50081. E-mail: [email protected].
Abstract: In ideological and political teaching, students have more serious problem behaviors in the classroom, including distracted, dazed, inattentive, and sleeping. In order to improve the efficiency of ideological and political teaching, based on artificial intelligence technology, this paper constructs a real-time monitoring system for ideological and political classrooms based on artificial intelligence algorithms, and builds model function modules according to the actual needs of ideological and political teaching monitoring. Moreover, this study makes reasonable calculations on the information monitoring and information transmission parts and installs a different number of monitoring equipment in different fixed locations according to the needs of signal monitoring. In addition, this paper designs a control experiment to study the system performance and verify the parameters from multiple aspects. The research results show that the system model constructed in this paper is stable in ideological and political teaching and has certain effects.
Keywords: Artificial intelligence, classroom monitoring, ideology and politics, teaching system
