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Intervention of industry education integration on students’ burnout in Japanese learning

Published online by Cambridge University Press:  27 October 2023

Rui Zhou*
Affiliation:
Zhanjiang University of Science and Technology, Zhanjiang 524094, China
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Abstract

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Background

Learning burnout refers to the behavioural states of boredom, frustration and depression that occur when students are not interested in learning behaviours but are unable to avoid them. It is influenced by learning attitudes, motivation and methods, and personality traits. Differences in language learning habits and the difficulty of learning Japanese vocabulary make students show more negative emotions when learning Japanese online and offline. Therefore, the study proposes a new way of teaching based on the perspective of industry-teaching integration to help improve the situation of learning burnout.

Subjects and Methods

This study takes Japanese language students with burnout as the research object. The subjects were divided into a teaching improvement group (regular classroom + industry-teaching integration mode) and a teaching routine group (regular teaching mode). The improvement group is a combination of Japanese language learning and social field practice projects. Data were collected on students’ burnout and emotions in the two teaching modes with the help of the Scale for the Evaluation of Mental Health (SCL-90) and the Learning Burnout Scale for University Students (LBUS).

Results

After the experimental intervention, there was a statistically significant difference in the burnout scale scores of the two groups of students (P<0.05), and the improved teaching model (regular classroom + industry-teaching integration mode) effectively alleviated the students’ burnout in Japanese language learning.

Conclusions

The teaching mode under the perspective of industry-teaching integration can effectively combine classroom teaching with professional practice, improve students’ learning burnout, and realize the regulation of their mental health.

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