Practical Research on Primary Mathematics Teaching Based on Deep Learning

Author:

Tian Xiuling1,Zhao Jianan1ORCID,Nguyen Kevin T.2ORCID

Affiliation:

1. Baoding Preschool Teachers College, Baoding, Hebei 072750, China

2. Saigon University, Hochiminh City, Vietnam

Abstract

With the rapid development of the knowledge economy, learning that stays at a shallow level is no longer able to meet the challenges of the times and deep learning has come into being. The key to deep learning is to develop students’ critical thinking, information integration, communication and collaboration, and constructive reflection skills, which can be cultivated in the process of problem solving. By exploring the theories of deep learning and problem solving, the basic elements of deep learning theory are incorporated into the design system of problem-solving teaching, and the problem-solving teaching model based on deep learning is proposed in conjunction with the content of elementary school mathematics, so that students can further develop their core literacy based on acquiring deep learning skills.

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Reference38 articles.

1. The design of in-depth learning in elementary school mathematics based on core literacy in mathematics;Q. Zhou;Old District Construction,2019

2. Research on teaching strategies of “deep learning” in elementary school mathematics;M. Cheng;Journal of Mathematics Education,2019

3. Exploring the effective path of carrying out deep learning in elementary school mathematics;X. Ma;Science and technology wind,2019

4. The front-end of elementary school mathematics teaching “three discriminations”--Thinking based on promoting students’ deep learning;Z. Qian;Primary and secondary school teacher training,2019

5. Dimensions and attention to the overall design of elementary school mathematics units in the perspective of deep learning;J. He;Journal of Hengshui Normal College,2019

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