The impact of academic self-efficacy and academic motivation on Chinese EFL students’ academic burnout

心理学 倦怠 社会心理学 临床心理学
作者
MA Ying-li
出处
期刊:Learning and Motivation [Elsevier BV]
卷期号:85: 101959-101959
标识
DOI:10.1016/j.lmot.2024.101959
摘要

With the increasing rate of academic burnout among English as a Foreign Language (EFL) students, a plethora of research has been undertaken to determine the predictors of this phenomenon. Nonetheless, the predicting role of academic self-efficacy and academic motivation has been less attended to by researchers and practitioners. To address this gap, this research evaluated the determining functions of academic self-efficacy and academic motivation in Chinese EFL students' academic burnout. To accomplish this, 580 Chinese EFL learners were recruited from different universities in Henan province. Then, to gather essential data, participants received three reliable scales designed to assess students' academic self-efficacy, academic motivation, and academic burnout. Following that, in order to analyze participants' answers, correlation tests, structural equation modeling, and regression analysis were implemented. The correlation tests revealed close connections among academic motivation, academic self-efficacy, and academic burnout. The outcomes of structural equation modeling and regression analysis also indicated that both learning motivation and academic self-efficacy were strong, negative predictors of Chinese EFL students' academic burnout. The outcomes of the current research would contribute to the existing body of knowledge by offering new and profound insights into the interplay between English students' academic resources and their academic burnout. The outcomes would also be of great help to English teachers in reducing the rate of academic burnout. In light of the limitations of the present research, some valuable suggestions are offered for future investigations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
大模型应助霸气的伟宸采纳,获得10
1秒前
Flora完成签到,获得积分10
2秒前
海阔天空发布了新的文献求助10
2秒前
酸酸发布了新的文献求助10
2秒前
5秒前
希望天下0贩的0应助田tt采纳,获得10
6秒前
8秒前
尹尹尹发布了新的文献求助10
9秒前
wangyao_sir完成签到,获得积分10
9秒前
9秒前
无极微光应助Brown采纳,获得20
10秒前
无极微光应助Brown采纳,获得20
10秒前
无极微光应助Brown采纳,获得20
10秒前
fbwg完成签到,获得积分10
13秒前
林秋沐发布了新的文献求助10
13秒前
王焕玉发布了新的文献求助10
13秒前
15秒前
HOMO发布了新的文献求助10
15秒前
赘婿应助酸酸采纳,获得10
16秒前
Lucas应助林钰浩采纳,获得10
17秒前
Alice_Arendt完成签到,获得积分10
19秒前
一棵枣树完成签到,获得积分10
20秒前
21秒前
阿玮发布了新的文献求助10
21秒前
22秒前
小蘑菇应助小杰采纳,获得10
22秒前
林秋沐完成签到,获得积分10
24秒前
24秒前
26秒前
26秒前
26秒前
cjh发布了新的文献求助10
26秒前
27秒前
28秒前
29秒前
甜美乘云发布了新的文献求助10
30秒前
30秒前
30秒前
忽悠老羊完成签到 ,获得积分10
31秒前
林钰浩发布了新的文献求助10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7033317
求助须知:如何正确求助?哪些是违规求助? 8702343
关于积分的说明 18436693
捐赠科研通 6536922
什么是DOI,文献DOI怎么找? 3113611
关于科研通互助平台的介绍 2193218
邀请新用户注册赠送积分活动 2088994