Research on the Development and Application of Multimedia Teaching Resources for Civic and Political Education Based on Artificial Intelligence

Abstract

Good multimedia teaching resources are an important guarantee for the teaching quality of Civic and Political Education. Based on CATLM theory, this paper constructs an online teaching resources development model, then introduces a recommendation algorithm based on ALS collaborative filtering, predicts the knowledge resources that the current user may need through the user's historical behaviors and preferences, and guides the user to find the resources accurately, so as to realize personalized teaching resources recommendation. The article concludes with an empirical test using students majoring in Civic and Political Education in a teacher training college as the research object. From the results of the independent sample t-test of students' Civic and Political Education competence, it can be seen that the observed value of the t-statistic of the experimental class and the control class is 25.963, and the p-value is 0.000<0.05. Civic and Political Education multimedia teaching resources based on Artificial Intelligence have a significant impact on the comprehensive Civic and Political Education competence of students.