#ArmMeWith: Resources for Teacher Wellbeing

Q1 Economics, Econometrics and Finance
Christina Naegeli Costa, Nansook Park, M. Kira
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引用次数: 4

Abstract

With teacher burnout on the rise in the US, this study explores the resources that teachers report to need to buffer the demands of their job and to increase their experience of wellbeing instead of stress and burnout. The data consists of tweets that teachers posted as a part of the #ArmMeWith Twitter campaign to voice the resource that they need in their job. We used thematic analysis to categorize teacher resource needs from 2,639 tweets. Using the Job Demands-Resources theory (JD-R) of employee wellbeing, we sorted codes into themes (physical, psychological, social, organizational), and investigated resource needs across regions of the United States. In this sample, teachers reported needs in all JD-R resource categories, and we identified an additional theme of institutional resource needs to represent the need for political and social change that teachers reported. In our frequency analysis, the need for physical and organizational resources were the most prevalent, and we found no regional differences. This research contributes to the literature on teacher wellbeing by highlighting resources that have the potential to bolster teacher wellbeing. The research also contributes to the JD-R theory by suggesting that institutional factors may contribute to employee wellbeing.
#武装我:教师福利资源
随着美国教师职业倦怠的上升,本研究探讨了教师报告需要的资源,以缓冲他们的工作需求,增加他们的幸福感,而不是压力和倦怠。这些数据由教师发布的推文组成,这些推文是#武装我与推特(#ArmMeWith Twitter)活动的一部分,旨在表达他们在工作中需要的资源。我们使用主题分析对2639条推文中的教师资源需求进行了分类。使用员工福利的工作需求-资源理论(JD-R),我们将代码分类为主题(身体,心理,社会,组织),并调查了美国各地区的资源需求。在这个样本中,教师报告了所有JD-R资源类别的需求,我们确定了一个额外的机构资源需求主题,以代表教师报告的政治和社会变革的需求。在我们的频率分析中,对物质和组织资源的需求是最普遍的,我们没有发现区域差异。这项研究通过强调有可能提高教师幸福感的资源,为教师幸福感的文献做出了贡献。该研究还为JD-R理论做出了贡献,表明制度因素可能会影响员工的幸福感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Wellbeing
International Journal of Wellbeing Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
6.70
自引率
0.00%
发文量
32
审稿时长
10 weeks
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