Cognitive Computation in Ideological and Political Classroom Teaching Based on Digital Sensor Technology.

Abstract

Numerous new ideas and concepts have changed the behavior and value orientation of university students as a result of the internet's rising popularity on college campuses. This study performs research on digital sensor technologies in order to enhance the intelligent effect of ideological and political classroom instruction. In addition, this study combines the fast Fourier transform principle to enhance digital sensor technology, digital sensor and cognitive computation technology to investigate the ideological and political classroom teaching process, and the actual situation of the ideological and political teaching to digitally process the ideological and political teaching process. In addition, this study employs sensor technology to convey data and digital sensor technology to increase the quality of ideological and political classroom instruction by enhancing the traditional teaching paradigm. In addition, on this premise, this study conducts a performance evaluation of the system, primarily focusing on the digital effect and the enhancement of ideological and political teaching quality. In conclusion, this study proves its teaching system through test research. According to the test results, the intelligent teaching method described in this study has a certain practical effect.