Teaching Quality of Ideological and Political Education in Colleges Based on Deep Learning

Abstract

As the current level of higher education in China improves, so too do higher education courses. The key to improving the quality of higher education in China is to improve teaching quality (TQ), while the key to improving the quality of higher education and teaching in China is the key to higher education. It is therefore necessary to formulate and finalize a system of quality assessment of higher education in order to manage higher education. The article aims to analyze the quality of ideological and political (IAP) education in colleges based on deep learning. It analyzes TQ in IOP courses in colleges, the role of quality assessment education, problems in the quality assessment system of teaching, and problems in the design of IAP quality education assessment. Based on the principles to be followed by the referral system, an IAP quality TQ assessment system has been developed and the MATLAB simulation software is based on the teaching network quality evaluation model and test model based on the TQ.