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The value impact of smart ideological and political education on emotional disorders of college students

Published online by Cambridge University Press:  27 October 2023

Weining Chao*
Affiliation:
Inner Mongolia University of Technology, Hohhot 010051, China
Junwei Cao
Affiliation:
Inner Mongolia University of Technology, Hohhot 010051, China
*
*Corresponding author.
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Abstract

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Background

Due to disharmony with roommates and other factors, some college students have mood disorders and may experience low emotions in their academic and daily lives. Over time, these students’ sleep, diet, and other conditions have also been affected. In order to improve these students’ mood disorders, universities need to take measures to intervene. The application of virtual reality technology in intelligent ideological and political education teaching has improved teaching effectiveness and increased students’ sense of experience. In response to the issue of mood disorders among college students, we will apply intelligent ideological and political education teaching to it.

Subjects and Methods

70 college students with mood disorders were selected from a certain university and randomly divided into a control group (35) and an experimental group (35). The former adopts general ideological and political education, while the latter adopts intelligent ideological and political education for a period of 3 months. The Beck Ravensen Mania Scale (BRMS) was used to measure students’ emotional status, and the data was processed by using SPSS 23.0 software.

Results

After 3 months of teaching, the mood disorders of the control group and experimental group students were alleviated to some extent. Compared with the control group, the intervention group had significantly lower BRMS scores (P<0.05).

Conclusions

Applying virtual reality technology to ideological and political education teaching in universities can not only improve teaching quality, but also effectively adjust students’ psychological conditions and improve their mood disorders.

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