JOURNAL ARTICLE
"We need to try to go higher": An examination of Somali Family Child Care providers' participation in a professional development program in the United States.
Published In: Journal of Early Childhood Research, 2025, v. 23, n. 4. P. 371 1 of 3
Database: Education Source Ultimate 2 of 3
Authored By: Garrity, Sarah; Miller, Saralyn 3 of 3
Abstract
This article examines the experiences of Somali refugee Family Child Care (FCC) providers in the United States who participated in the Steps to Family Child Care Success Program (STEPS), a year-long professional development initiative embedded in an ethnic community based organization (ECBO). Using a community resilience framework, the study identifies barriers faced by providers—including language challenges, adapting to U.S. business practices, and navigating FCC regulations—and highlights how providers draw on their community identity, cohort support, and ECBO resources to overcome these obstacles. The STEPS program's culturally and linguistically responsive, cohort-based model, facilitated by cultural navigators and business counselors from the community, supports providers' economic stability and professional growth. Findings suggest that such strengths-based, community-embedded professional development approaches can better meet the unique needs of home-based providers from refugee backgrounds and serve as a model for early childhood education and care (ECEC) initiatives aiming to support diverse communities.
Additional Information
- Source:Journal of Early Childhood Research. 2025/12, Vol. 23, Issue 4, p371
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:1476718X
- DOI:10.1177/1476718X251325974
- Accession Number:189505563
- Copyright Statement:Copyright of Journal of Early Childhood Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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