Research on the construction of college Chinese teaching system based on deep learning technology

Abstract

With the deepening of the concept of knowledge society, the traditional college Chinese education is undergoing profound changes, which has gradually changed to "learning centered". Therefore, deep learning, core literacy and other teaching concepts have become the focus of current higher education, which has gradually been integrated with new teaching methods, such as flipped classroom and Mu class. Through multi form teaching methods, the teaching mode of information technology and curriculum integration has become the pursuit of in-depth learning in Chinese teaching, which is a learning mode of pursuing more diversified learning objectives of students. Through in-depth learning, the learning process of college Chinese will be more engaged and participatory, which will help students' cognitive processing methods, mainly including the connection of new and old knowledge, critical understanding, information integration, etc. Deep learning will increase the level of students' input and participation in the learning process, which will better develop the core quality of long-term memory and transfer of knowledge. Therefore, the construction of college Chinese teaching system based on deep learning technology is very necessary. This paper first analyzes the current research on the application of deep learning technology. Then, this paper analyzes the data analysis model of deep learning process. Finally, this paper constructs the college Chinese teaching system and puts forward some suggestions, which can better construct the teaching system.