Issue |
MATEC Web Conf.
Volume 395, 2024
2023 2nd International Conference on Physics, Computing and Mathematical (ICPCM2023)
|
|
---|---|---|
Article Number | 01051 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/202439501051 | |
Published online | 15 May 2024 |
Learning burnout of college learners and countermeasures analysis in the context of Chinese normal university
1 Neijiang Normal University, Education Science Department, 641100, Neijiang, China
2 Neijiang Normal University, Foreign Language Department, 641100, Neijiang, China
* Corresponding author: 1530100981@qq.com
The research purpose of this study is to explore the status and causes of learning burnout among college students and dig out the countermeasures of solving this issue. The study takes 400 students of different majors, grades and genders from three normal universities as subjective in Southwest China, and the questionnaires including demographic information, learning burnout status, learning burnout causes were distributed to them, finally, 395 valid questionnaires were collected. Using IBM SPSS Statistics 22.0 software for statistical analysis (T-test), the results shows that there exists the phenomenon of learning burnout among university students, and there are significant differences in learning burnout in terms of gender, grade and major; Meanwhile, through regression analysis, it can be seen that each factor has different degrees of influencing the learning burnout, so the accordingly countermeasures are suggested. The study is hoped to put forward some countermeasures for learning burnout, so that it is better service the educational quality.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.