Research on Blended Teaching Design Based on Deep Learning

Abstract

In recent years, the blended teaching model in Chinese universities has developed rapidly, breaking through the time and space constraints of the teaching process and enriching teaching resources. The emergence of different teaching platforms has also actively promoted the modern development of education. However, there is still room for continuous optimization and development of blended learning, and issues such as some students’ inability to effectively utilize online resources, inability to conduct in-depth learning, lack of thinking training, and insufficient ability cultivation and improvement require resolution. This article fully utilizes the basic concepts of deep learning in the existing blended teaching mode, proposes a blended teaching design based on deep learning, and enriches the existing student assessment and evaluation methods, thereby improving the teaching effectiveness of existing blended teaching, deepening the achievements of teaching reform, and improving teaching quality.