Application of Intelligent Education Using Interactive Modeling in Higher Ideological and Political Education Platform

Abstract

In order to improve the efficiency of ideological and political intelligent teaching, this paper uses interactive modeling technology to build an ideological and political education platform. In the classroom interactive image processing, this paper uses the maximum circumscribed moment of the contour to extract the rectangular block area and uses the convolutional neural network to distinguish the defect and the text for the extracted rectangular block area. In addition, this paper comprehensively judges the detection results of each detection area and designs a corresponding detection algorithm for each part to detect defects. From the experimental research results, it can be seen that the interactive ideological and political teaching platform proposed in this paper has a good interactive teaching effect and can effectively improve the effect of ideological and political teaching.