Analysing Influencing Factors and Correlation Paths of Learning Burnout among Secondary Vocational Students in the context of Social Media: An Integrated ISM–MICMAC Approach

倦怠 职业教育 背景(考古学) 心理学 数学教育 医学教育 教育学 临床心理学 医学 古生物学 生物
作者
Ping Zhang,Shuai-Ge Ma,Yue-Nan Zhao,Ling Jing,Ying Sun
出处
期刊:Heliyon [Elsevier]
卷期号:10 (7): e28696-e28696 被引量:1
标识
DOI:10.1016/j.heliyon.2024.e28696
摘要

By analysing the factors influencing secondary vocational students' learning burnout in the context of social media, this study unearthed the underlying causes of learning burnout. It also determined the correlation paths among the factors influencing learning burnout, providing references for educational and pedagogical improvement. This contributes to preventing secondary vocational students' learning burnout and enhancing learning efficiency in secondary vocational schools. Combined with previous research results and a theoretical basis, this study identifies 10 influencing factors employing the Delphi method, and uses Interpretative Structural Modelling (ISM) and Matrice d' Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) to elucidate the relationship between influencing factors of learning burnout among secondary vocational students in the context of social media. This study also constructs a corresponding mechanism model and subsequently proposes prevention and improvement strategies. The results show that the overdevelopment of social media, as driving factors, has the greatest impact on secondary vocational students' learning burnout. Simultaneously, it takes the lead in addressing cognitive bias among students, decreased self-control, and low learning efficiency, factors that contribute to learning burnout. This is particularly beneficial in alleviating the degree of learning burnout among secondary vocational students in the context of social media and improves overall learning outcomes for these students. The hierarchical structure and correlation paths identified in this study offer robust invaluable guidance for developing a scientific program to address the problem of learning burnout among this demographic. This includes implementing related educational practises, thereby reducing the unpredictability of the practical applications.
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
Zezezee发布了新的文献求助10
2秒前
复杂的问玉完成签到,获得积分20
3秒前
4秒前
4秒前
睡睡完成签到,获得积分10
4秒前
5秒前
6秒前
所所应助饕餮采纳,获得10
6秒前
平淡小凝发布了新的文献求助10
6秒前
nihaoxiaoai完成签到,获得积分10
7秒前
完美世界应助英俊的汉堡采纳,获得10
7秒前
爱静静应助hehe采纳,获得10
8秒前
九城发布了新的文献求助20
8秒前
斯文败类应助高君奇采纳,获得10
8秒前
小二郎应助特兰克斯采纳,获得10
8秒前
mojomars发布了新的文献求助10
8秒前
吃嘛嘛香完成签到,获得积分10
8秒前
wqy发布了新的文献求助10
9秒前
天天快乐应助新的心跳采纳,获得10
9秒前
Orange应助有益采纳,获得10
9秒前
11秒前
爆米花应助marinemiao采纳,获得10
11秒前
11秒前
招财不肥发布了新的文献求助10
12秒前
网安真难T_T完成签到,获得积分10
12秒前
大土豆子完成签到,获得积分10
13秒前
13秒前
甜甜醉波发布了新的文献求助10
14秒前
CodeCraft应助jy采纳,获得10
14秒前
领导范儿应助睡睡采纳,获得10
14秒前
哈哈完成签到 ,获得积分10
15秒前
Holleay123发布了新的文献求助10
16秒前
16秒前
17秒前
苏卿应助kento采纳,获得100
17秒前
小马甲应助满意之玉采纳,获得10
17秒前
18秒前
Jing完成签到,获得积分10
19秒前
饕餮发布了新的文献求助10
19秒前
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808