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在义务教育和高等教育在线教学环境中,人格特质、与技术相关的教学技能以及应对机制作为教师工作相关情感幸福感和职业倦怠的前因。

Personality Traits, Technology-Related Teaching Skills, and Coping Mechanisms as Antecedents of Teachers' Job-Related Affective Well-Being and Burnout in Compulsory and Higher Education Online Teaching Settings.

作者信息

Stan Rosana

机构信息

Department of Psychology, University of Oradea, Oradea, Romania.

出版信息

Front Psychol. 2022 Apr 18;13:792642. doi: 10.3389/fpsyg.2022.792642. eCollection 2022.

Abstract

Teachers' job-related well-being has been affected by the sudden shift to emergency remote online teaching due to the COVID-19 pandemic which has totally reshaped the task performance. Therefore, this study attempts to enlighten the possible reasons for the deterioration in teachers' job-related well-being and proposes an integrated application of three models of prediction for job-related affective well-being and burnout as teachers' indicators for the well-being in online teaching settings. The first model includes personality traits (extroversion, neuroticism, and conscientiousness) measured with the revised neuroticism, extroversion, and openness personality inventory (NEO-PI-R). The second model integrates an indispensable skill for the online teaching which is technological pedagogical content knowledge (TPCK) as technology-related teaching skill conceptualized by the TPACK framework. The TPACK model is a technology integration that identifies three types of knowledge instructors need to combine for successful EdTech integration - technological, pedagogical, and content knowledge (i.e., TPACK). The third model, a multidimensional one, includes coping mechanisms (e.g., problem-focused coping, emotion-focused coping, social support coping, and avoidant coping) as mediators in the relationship between personality traits and TPCK on the one side, and job-related well-being indicators on the other side. Findings from regression analyses were used to test the first two models, and the findings from a mediation analysis were used to test the third model to show that teachers' TPCK explains a significant amount of variance in the job-related affective well-being of the teachers. The analyses also demonstrate that avoidant coping particularly mediates the relation between burnout and job-related affective well-being during COVID-19 school closures. Results indicate the efficacy of the TPACK model in increasing the job-related well-being of the teachers. The analysis of the data led to recommend that teachers should improve their personal technology-related teaching skills and adopt coping strategies in consistent with their personality traits. Moreover, public schools, as organizations, could advance educational technology programs to enhance technology-related teaching skills with the aim of increasing the well-being of their employees in online teaching settings.

摘要

由于新冠疫情,教学工作突然转向应急远程在线教学,这彻底改变了任务执行方式,教师的工作幸福感受到了影响。因此,本研究试图阐明教师工作幸福感下降的可能原因,并提出综合应用三种预测模型,以预测与工作相关的情感幸福感和职业倦怠,将其作为在线教学环境中教师幸福感的指标。第一个模型包括用修订后的神经质、外向性和开放性人格量表(NEO-PI-R)测量的人格特质(外向性、神经质和尽责性)。第二个模型整合了在线教学中一项不可或缺的技能,即技术教学内容知识(TPCK),这是由TPACK框架概念化的与技术相关的教学技能。TPACK模型是一种技术整合,它确定了教师为成功整合教育技术需要结合的三种知识类型——技术知识、教学知识和内容知识(即TPACK)。第三个模型是多维模型,包括应对机制(如问题聚焦应对、情绪聚焦应对、社会支持应对和回避应对),作为人格特质与TPCK之间关系的中介,以及与工作相关的幸福感指标之间关系的中介。回归分析的结果用于检验前两个模型,中介分析的结果用于检验第三个模型,结果表明教师的TPCK解释了教师与工作相关的情感幸福感的大量变异。分析还表明,在新冠疫情学校停课期间,回避应对尤其在职业倦怠与工作相关的情感幸福感之间起中介作用。结果表明TPACK模型在提高教师工作幸福感方面的有效性。数据分析结果建议教师应提高个人与技术相关的教学技能,并根据自己的人格特质采取应对策略。此外,公立学校作为组织,可以推进教育技术项目,以提高与技术相关的教学技能,目的是提高员工在在线教学环境中的幸福感。

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