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Optimization of mathematics teaching and learning for the treatment of anxiety disorders in college students

Published online by Cambridge University Press:  27 October 2023

Zhanchen Liu
Affiliation:
Cangzhou Jiaotong College, Cangzhou 061199, China
Haiyong Yin*
Affiliation:
Cangzhou Jiaotong College, Cangzhou 061199, China
*
*Corresponding author.
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Abstract

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Background

The study attempts to integrate Civic and Political Psychoeducation to optimize the teaching content of traditional mathematics courses in colleges and universities, in order to alleviate college students’ anxiety in the process of mathematics learning, as the difficulty of mathematics courses in colleges and universities increases.

Subjects and Methods

As subjects for this study, 120 students majoring in Mathematics Applications at one of China’s universities were chosen. The 120 college students were randomly and equally divided into two groups, the control group and the experimental group, with 60 students in each group. The students in the experimental group were taught utilizing the Civic Psychology intervention in their mathematics courses, whereas the students in the control group were taught using the usual mathematics lecture approach. The trial ran for a semester. After one semester, the students’ anxiety psychological ratings under various instructional approaches were compared. The data changes during the experiment were recorded and analyzed using SPSS23.0.

Results

The study’s findings demonstrate that after one semester of mathematics instruction, the average anxiety level of the experimental group dropped from 28.56 to 5.21, whereas the average anxiety score of the control group did not change appreciably. It can be demonstrated that the experimental group’s teaching style can more successfully ease college students’ anxiety during the arithmetic learning process.

Conclusions

A college mathematics teaching strategy that mixes ideological and psychological education can successfully reduce college students’ anxiety during the mathematics learning process.

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press