Personality traits, role ambiguity, and relational competence as predictors for teacher subjective wellbeing

人格特质、角色模糊性和关系能力作为教师主观幸福感的预测因素

阅读:1

Abstract

The coronavirus pandemic has significantly reshaped the way teaching activities are carried out, thus intensifying the stress felt by teachers. The teacher-student relationship has also changed under the influence of social constraints. Together, these have affected teachers' work efficiency and redefined their connection with the school. The present study aims to examine the extent to which personality traits, role ambiguity, and relational competence predict teacher subjective wellbeing. The study sample consisted of 105 university teachers. Three hierarchical multiple regression analyses were conducted separately for each of the three criterion variables used in this research: teaching efficacy, school connectedness, and teacher subjective wellbeing. The results indicated that the personality traits emotionality, extraversion, and conscientiousness are significant predictors for all three variables, while honesty-humility, agreeableness, and openness to experience are not predictors for any of the variables. However, in the third step of the regression analysis, conscientiousness was found to lose its predictive quality for the variables school connectedness and teacher subjective wellbeing, its place being taken by emotionality. Both role ambiguity and relational competence are significant predictors for teaching efficacy, for school connectedness, and for teacher subjective wellbeing. Based on these results, universities can design some measures to reduce role ambiguity of teachers and can identify areas of training needed to increase their relational competence, while simultaneously reducing the costs associated with wellbeing and productivity problems. Several training modules and courses are proposed to be designed and included in the curriculum of initial and in-service teacher training programs, in order to contribute to increasing teachers' performance.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。