Research on the Sustainable Development Model of Information Technology Literacy of Normal Students Based on Deep Learning Recommendation System

In recent years, deep learning has made breakthroughs in computer vision, speech recognition, natural language processing and recommendation systems. "Artificial Intelligence + Education" has been put on the agenda of our country. However, the level of information technology of primary and secondary school teachers in our country is still insufficient. There are many reasons for this problem. One of the important reasons that restrict the development of information technology ability of primary and secondary school teachers is the gap between the continuous learning of information technology and timely help of normal school students from learning to teaching, we propose to break this gap by using the model of recommendation system based on deep learning to improve the information technology ability of primary and secondary school teachers.