A novel ecological model of holistic early childhood workforce well-being: The utilization of an ai-assisted systematic review

IF 3.1 1区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Early Childhood Research Quarterly Pub Date : 2025-10-10 DOI:10.1016/j.ecresq.2025.09.007

Lieny Jeon , Kyong-Ah Kwon , Sooyeon Byun , Dominique Charlot-Swilley , Celene E. Domitrovich , Charlotte V. Farewell , Timothy G. Ford , Holly Hatton , Yoonkyung Oh , Jini E. Puma , Early Head Start/Head Start Workforce Well-Being Consortium

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引用次数: 0

Abstract

A critical factor in promoting quality practices in early care and education (ECE) settings is educator well-being, a multi-dimensional construct influenced by a variety of contextual factors. There has yet to be consensus on conceptualizing early childhood workforce well-being in a way that encompasses multiple factors and complex dynamics among them. Designed by an interdisciplinary group of scholars, this study aimed to develop a novel conceptual model, the Ecological Model of Holistic ECE Workforce Well-Being, that captures multiple layers of well-being. In addition, this new model was validated using an AI-assisted systematic review that identified 345 studies published between 1990 and 2023 for inclusion. We examined four core domains of ECE workforce well-being (i.e., physical, psychological, and professional well-being and health behaviors) and how these have been studied in the literature with regards to relational well-being and contextual factors. While our systematic review covers literature published between 1990 and 2023, it is noteworthy that there has been growing attention to ECE workforce well-being since 2019. However, most studies focused on one or two indicators of well-being using descriptive or correlational methods. This study provides future directions for ECE workforce well-being research and practice by identifying gaps in the literature that could support efforts to professionalize the ECE workforce and, ultimately, enhance the quality of care and learning for young children.

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一个全新的整体幼儿劳动力福利生态模型：利用人工智能辅助系统评价

促进早期护理和教育（ECE）环境中高质量实践的一个关键因素是教育者的福祉，这是一个受各种环境因素影响的多维结构。对幼儿劳动力福利概念化的方式尚未达成共识，其中包括多种因素和复杂的动态。本研究由一个跨学科的学者小组设计，旨在开发一个新的概念模型，即整体欧洲经委会劳动力福祉的生态模型，该模型涵盖了多层次的福祉。此外，使用人工智能辅助的系统评价对该新模型进行了验证，该评价确定了1990年至2023年间发表的345项研究。我们研究了欧洲经委会劳动力福祉的四个核心领域（即身体、心理和专业福祉和健康行为），以及这些领域如何在文献中与相关福祉和背景因素进行研究。虽然我们的系统综述涵盖了1990年至2023年之间发表的文献，但值得注意的是，自2019年以来，人们越来越关注欧洲经委会劳动力的福祉。然而，大多数研究都集中在使用描述性或相关性方法的一两个幸福指标上。本研究通过确定文献中的空白，为欧洲经委会劳动力福利研究和实践提供了未来的方向，这些空白可以支持欧洲经委会劳动力专业化的努力，并最终提高幼儿的护理和学习质量。

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

Early Childhood Research Quarterly Multiple-

CiteScore

7.00

自引率

8.10%

发文量

109

期刊介绍： For over twenty years, Early Childhood Research Quarterly (ECRQ) has influenced the field of early childhood education and development through the publication of empirical research that meets the highest standards of scholarly and practical significance. ECRQ publishes predominantly empirical research (quantitative or qualitative methods) on issues of interest to early childhood development, theory, and educational practice (Birth through 8 years of age). The journal also occasionally publishes practitioner and/or policy perspectives, book reviews, and significant reviews of research. As an applied journal, we are interested in work that has social, policy, and educational relevance and implications and work that strengthens links between research and practice.