Radina Stoyanova, S. Karabeliova, Petya Pandurova, Nadezhda Zheckova, Kaloyan Mitev
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Adaptability (β = -.38, p < .01), external control (β = .23, p < .01), seeking social support (β = -.26, p < .01), and decisiveness (β = .17, p < .01) were found to be significant predictors of emotional exhaustion (R2 adj = .175). When it comes to personal accomplishments significant predictors were purposefulness (β = .29, p < .01), decisiveness (β = .19, p < .01), and adaptability (β = .13, p < .01) (R2adj = .304). Social support (β = -.36, p = .00), external control (β = .24, p < .01) and purposefulness (β = -.18, p < .01) were significant predictors of depersonalization (R2adj = .186). The findings from the present study show that high levels of resilience to stress have a protective effect on the manifestations of burnout symptoms. These results have implications for proposing theoretical foundations for burnout prevention strategies in an online learning context. 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引用次数: 0
摘要
新冠肺炎疫情已经影响到人类生活的方方面面。大流行期间的教育挑战可能对应对压力产生影响。本研究的目的是探讨人们对压力的适应能力对倦怠症状的影响。我们使用了Maslach倦怠量表(Maslach, 1982),而使用Connor-Davidson弹性量表(2003)来测量应对压力和恢复的能力。共有375名参与者,235名女性和140名男性,年龄在18至48岁之间(M = 21.43;SD = 3.93),在高等教育机构学习。我们用逐步方法进行了几次回归分析。适应性(β = -)38, p < 0.01),外部控制(β = 0.23, p < 0.01),寻求社会支持(β = -。26, p < 0.01)和果断(β = 0.17, p < 0.01)被发现是情绪衰竭的显著预测因子(R2 adj = 0.175)。当涉及到个人成就时,显著的预测因子是目的性(β = 0.29, p < 0.01)、决断性(β = 0.19, p < 0.01)和适应性(β = 0.13, p < 0.01) (R2adj = 0.304)。社会支持(β = -)36, p = .00),外部对照(β = .24, p < .01)和目的性(β = -。18, p < 0.01)是人格解体的显著预测因子(R2adj = 0.186)。本研究结果表明,高水平的压力恢复力对倦怠症状的表现具有保护作用。这些结果对提出在线学习环境下的职业倦怠预防策略的理论基础具有启示意义。同时,丰富与获得更高适应性相关的干预技术。
Effect of Resilience on Burnout in Online Learning Environment
The COVID-19 virus outbreak has affected all aspects of human life. The challenges of education during the pandemic could have an impact on coping with stress. The aim of the current study was to explore the effects of people’s resilience to stress on burnout symptoms. We used The Maslach Burnout Inventory (Maslach, 1982), while the capacity to cope with stress and recover was measured with the Connor-Davidson Resilience Scale (2003). There were 375 participants, 235 women and 140 men, between the ages of 18 and 48 years old (M = 21.43; SD = 3.93), learning in higher education institutions. We performed several regression analyses using a stepwise method. Adaptability (β = -.38, p < .01), external control (β = .23, p < .01), seeking social support (β = -.26, p < .01), and decisiveness (β = .17, p < .01) were found to be significant predictors of emotional exhaustion (R2 adj = .175). When it comes to personal accomplishments significant predictors were purposefulness (β = .29, p < .01), decisiveness (β = .19, p < .01), and adaptability (β = .13, p < .01) (R2adj = .304). Social support (β = -.36, p = .00), external control (β = .24, p < .01) and purposefulness (β = -.18, p < .01) were significant predictors of depersonalization (R2adj = .186). The findings from the present study show that high levels of resilience to stress have a protective effect on the manifestations of burnout symptoms. These results have implications for proposing theoretical foundations for burnout prevention strategies in an online learning context. Also, enrich intervention techniques connected with achieving higher adaptability.