Rational Analysis of Deep Learning in Mathematics

Abstract

Under the background of talent training requirements and classroom teaching in mathematics, this article compares the differences between shallow learning and deep learning, and finds the characteristics of mathematical deep learning: unity of shallow processing and deep processing, unity of multiple understanding and overall construction, unity of master knowledge and promotion ability, unity of independent learning and cooperative learning, and unity of active learning and lifelong learning. Accordingly, it puts forward the rational understanding to promote deep learning in mathematics: rational understanding of deep learning, dealing with dialectical relations, and giving full play to the guiding value of teachers.