The Development and Effect Analysis of the Deep-Learning Classroom Model of Primary School Mathematics in the Intelligent Environment

Abstract

Mathematics, which is a fundamental subject to cultivate students' high-level thinking ability, lays sound foundation for students to adapt the rapid development of society. The recent growth of intelligent technologies contributes to the revolution of primary school mathematics teaching. This study com-bines the general deep learning model and the primary school mathematics teaching process. Literature research, theoretical deduction, action research, and quasiexperimental research methods are conducted to develop the primary school mathematics deep-learning classroom model within the intelligent environment. Moreover, we applied the model in teaching practice in a Guangzhou Smart-Campus project pilot school to validate the model. The results indicated that the deep-learning classroom model of primary school mathematics could effectively promote the development of math Core Literacy, improve students' academic performance, and cultivate students' knowledge transfer and problem-solving ability.