Annals of Mathematical Modeling
Vol 2, No 2 (2020)

Mathematics Learning and Teaching Directed to Process Construction

Li Yaqiong (Nanjing Normal University, NanJing 210024, China)
Wenbin Xu (Nanjing Normal University, NanJing 210024, China)
Xu Yiwen (Nanjing Normal University, NanJing 210024, China)
Liu Bao (Nanjing Normal University, NanJing 210024, China)



Article Info

Publish Date
06 Nov 2020

Abstract

The Theory of Meaningful Learning shows that: to achieve the best learning effect, new knowledge should establish a non-arbitrary and substantial relationship with the existing knowledge in the learner’s cognitive structure, and the focus of the construction of the learning process is to combine the relationship between learning and teaching factors. Therefore, through the description of the application process of "Mathematics Induction", this article draws practical reflection: the process of mathematics learning requires learners to pay attention to real experience, independent thinking, and learning reflection, which inspires teachers to pay attention to in teaching: through creating appropriate problem situation and using appropriate teaching resources, they should pay attention to the time sequence of teaching, and guide students appropriately to take the initiative in discovering learning. In this process, students are guided to actively sort out, integrate and apply knowledge. Through a reasonable learning process experience, students can construct knowledge structure in an orderly manner, improve the quality of thinking, improve the ability to analyze and solve problems, and realize the pedagogical significance of subject teaching.

Copyrights © 2020






Journal Info

Abbrev

AMM

Publisher

Subject

Computer Science & IT Mathematics

Description

nnals of Mathematical Modeling integrates authoritative reports on current mathematical, articles cover a wide range of topics, including mathematical analyses, probability, statistics, cybernetics, algebra, geometry, mathematical physics, wave propagation, stochastic processes, boundary value ...