Blended Teaching Design in Higher Education Based on Deep Learning Model

This paper aims to compare the advantages and disadvantages of traditional offline teaching and massive open online course (MOOC) learning, build a three-space system of blended teaching in higher education, and explore blended teaching design based on the deep learning model. Through online and offline blended teaching, a data set of multifaceted teaching information is formed to provide strong support for learning diagnosis, classroom observation, and course assessment, which finally brings about effective, efficient, engaging, and personalized teaching design. Statistics show that blended teaching design based on the deep learning model can significantly improve students' satisfaction with courses and enhance their practical ability to analyze and solve problems.