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Application of Learning Motivation Theory in Mathematics Teaching in Primary Schools

Authors:

Nan Guo,

Jie ChenAuthors Info & Claims

IPEC2021: 2021 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers

Pages 626 - 629

https://doi.org/10.1145/3452446.3452598

Published: 25 April 2021 Publication History

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Abstract

Mathematics is an important subject in the primary school curriculum, in order to achieve a good classroom effect and learning effect, the "teaching" of teachers and the "learning" of students have become particularly important. So how can we improve the quality of teaching and learning while making students fall in love with mathematics? This paper applies learning motivation theory to primary school mathematics teaching, and fully explores the influence and function of learning motivation theory on primary school mathematics teaching.

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Zhao Liying. Research on instructional design based on motivation theory.

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Gu Yeyu. Research on Chinese classroom teaching strategies in primary schools based on ARCS motivation model.

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Shao Ruizhen. Educational Psychology: Principles of Learning and Teaching. Beijing: China Excellence Publishing Corporation, 1986.

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Assessing Academic Motivation among Elementary School Children.

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Guo Dejun. Motivational Psychology: Theory and Practice. Beijing: People's Education Press, 2005.

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Ministry of Education of the People's Republic of China. Compulsory Education Mathematics Curriculum Standards (2011 Edition). Beijing: Peking University Press, 2012.

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Cited By

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Garcia-Carrascal SSepulveda-Vega LRico-Bautista D(2023)Instructional Strategies for Performance Improvement in Algebra: A Systematic MappingAdvances in Computing10.1007/978-3-031-47372-2_17(188-198)Online publication date: 14-Nov-2023
https://doi.org/10.1007/978-3-031-47372-2_17

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IPEC2021: 2021 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers

April 2021

1143 pages

ISBN:9781450389815

DOI:10.1145/3452446

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 25 April 2021

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IPEC 2021: 2021 2nd Asia-Pacific Conference on Image Processing, Electronics and Computers

April 14 - 16, 2021

Dalian, China

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Garcia-Carrascal SSepulveda-Vega LRico-Bautista D(2023)Instructional Strategies for Performance Improvement in Algebra: A Systematic MappingAdvances in Computing10.1007/978-3-031-47372-2_17(188-198)Online publication date: 14-Nov-2023
https://doi.org/10.1007/978-3-031-47372-2_17

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Research and teaching strategies integration at post-secondary programs

Analysis of translation teaching skills in colleges and universities based on deep learning

Application of Cooperative Learning in Physical Experiment Teaching

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