忙碌、疲惫还是冷漠?学习环境因素与博士生幸福感

Arūnas Žiedelis
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引用次数: 0

摘要

为博士生创造体面的条件是高等教育机构并不总是能够应对的挑战。这种趋势也间接体现在博士生的幸福感指标上。本研究的目的是为了区分不同的幸福群体的博士生,并确定属于他们的预测因素。633名来自不同科学领域的博士生参与了这项研究,并被要求回答关于他们的学习投入、疲劳和主要学习环境特征(需求和资源)的问题。应用聚类分析发现,根据学习投入和倦怠,可以区分出成功型、疲惫型、倦怠型和冷漠型四类博士生的幸福感。回归分析可以区分出四个研究环境特征,这些特征区分了不同群体博士生的幸福感。更少的发展机会,缺乏论文导师的支持,更高的学习负担,以及更频繁地遇到相互冲突的期望,与属于最高幸福感的博士生群体的可能性较低有关。结果表明,博士生幸福感的前因由应在制度环境中寻找,这有利于或复杂化了任务的实施。文章还根据研究结果提出了改进博士生培养过程的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engaged, Exhausted or Indifferent? Study Environment Factors and Doctoral Students’ Well-being
Creating decent conditions for doctoral students is a challenge that higher education institutions do not always manage to cope with. This tendency is also indirectly seen in the indicators of the well-being of doctoral students. The purpose of this study was to distinguish different well-being groups of doctoral students and to identify predictors of belonging to them. 633 doctoral students from various fields of science participated in the study, and were asked to answer questions about their study engagement, exhaustion, and the main study environment characteristics (demands and resources). The applied cluster analysis revealed that according to study engagement and burnout, four groups of doctoral students’ well-being can be distinguished, i.e., successful, exhausted, burned-out and indifferent doctoral students. Regression analysis made it possible to distinguish four study environmental characteristics that differentiate different groups of doctoral students’ well-being. Fewer opportunities for development, lack of support from the dissertation supervisor, higher study load, and more frequent encounters with conflicting expectations were associated with a lower probability of belonging to the group of doctoral students of the highest well-being. The results show that the antecedents for the well-being of doctoral students should be sought in the institutional environment, which facilitates or complicates the implementation of the tasks. The article also discusses suggestions based on the research results to improve the process of training doctoral students.
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