five

bd_BurntEngagment_Maroco et al_PlosOne.rds

收藏
DataCite Commons2025-05-01 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/bd_BurntEngagment_Maroco_et_al_PlosOne_rds/12860132/1
下载链接
链接失效反馈
官方服务:
资源简介:
In this study we modelled possible causes and consequences of student burnout and engagement on academic efficacy and dropout intention in university students. Further we asked, can student engagement protect against the effects of burnout? In total 4,061 university students from Portugal, Brazil, Mozambique, the United Kingdom, the United States of America, Finland, Serbia, and Macao SAR, Taiwan participated in this study. With the data collected we analyzed the influence of Social Support, Coping Strategies, and school/course related variables on student engagement and burnout using structural equation modeling. We also analyzed the effect of student engagement, student burnout, and their interaction, on Academic Performance and Dropout Intention. We found that both student engagement and burnout are good predictors of subjective academic performance and dropout intention. However, student burnout suppresses the effect of student engagement on these variables. This result has strong implications for practitioners and administrators. To prevent student dropout, it is not enough to promote student engagement—additionally, and importantly, levels of student burnout must be kept low. Other variables such as social support and coping strategies are also relevant predictors of student engagement and burnout and should be considered when implementing preventive actions, self-help and guided intervention programs for college students.

本研究针对大学生群体,构建了学业倦怠与学业投入的潜在成因,以及二者对学业效能感与辍学意向的影响模型。本研究进一步探讨:学业投入能否缓解倦怠带来的负面影响?本研究共纳入来自葡萄牙、巴西、莫桑比克、英国、美利坚合众国、芬兰、塞尔维亚以及中国澳门特别行政区、中国台湾地区的4061名大学生。基于收集到的调研数据,本研究采用结构方程模型(Structural Equation Modeling),分析了社会支持(Social Support)、应对策略(Coping Strategies)以及院校/课程相关变量对学生学业倦怠与学业投入的影响。同时,本研究还探讨了学业投入、学业倦怠及其交互作用对学业表现与辍学意向的影响。研究结果显示,学业投入与学业倦怠均可有效预测主观学业表现与辍学意向。但值得注意的是,学业倦怠会抑制学业投入对上述变量的预测效应。该研究结论对教育从业者与院校管理者具有重要实践价值。若要预防大学生辍学,仅通过提升学业投入是远远不够的——与此同时,必须将学生的学业倦怠水平控制在较低区间,这一点至关重要。此外,社会支持与应对策略等其他变量同样是学生学业倦怠与学业投入的有效预测因子,因此在面向大学生制定预防措施、自助方案与指导性干预项目时,应将上述变量纳入考量范围。
提供机构:
figshare
创建时间:
2020-08-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作