Intelligent Integration Method of Hidden Resources of Ideological and Political Courses for Mobile Online Teaching

In order to integrate massive hidden resources of ideological and political courses and shorten the integration time, a research on intelligent integration method of hidden resources of ideological and political courses for mobile online teaching is proposed. Build an intelligent integration framework for the hidden resources of ideological and political courses, and apply Convolutional neural network to obtain the teaching resources of ideological and political courses from the mobile online teaching platform. Defining teaching resources and implicit resources, analyzing the characteristics of implicit resources, can help provide guidance for subsequent identification and integration. Identify hidden resources in ideological and political courses, extract semantic features from hidden resources, obtain the semantic location of hidden resources, and mine imperceptible resources to provide a foundation for subsequent integration. Cluster processing is carried out based on the Euclidean distance between the semantic positions of hidden resources, and similar hidden resources are organized and integrated to achieve intelligent integration of hidden resources in ideological and political courses. The experimental data shows that the application of the proposed method can effectively integrate the hidden resources of ideological and political courses into multiple categories, which indicates that the proposed method has better integration performance of the hidden resources of ideological and political courses.