Research on Instructional Design and Optimization of Problem-driven Mathematics Teaching from the Perspective of Deep Learning

Huo Yuanyuan

Tourism College of Changchun University

Abstract：

Taking the promotion of educational modernization as the fundamental goal, improving the quality of talent cultivation as the core, and advancing educational reform is an important direction of China's current educational work. Problem-driven teaching is of unique value in college mathematics teaching due to its role in cultivating students' core literacy. Based on the basic theory of deep learning, this paper systematically analyzes the essential attributes and operation mechanism of problem-driven mathematics teaching, dissects the practical dilemmas faced by problem-driven teaching in college mathematics at present, and conducts research from four perspectives: reconstruction of teaching objectives, systematic construction of problem chains, dynamic optimization of teaching process, and establishment of an evaluation system, and puts forward corresponding countermeasures and suggestions, so as to provide theoretical support for the reform of college mathematics courses.

Key Words：

deep learning; problem-driven; mathematics teaching; instructional design; optimization strategy