The Guardian Co-Learning Model: A Framework for Improving STEM Education Access and Retention among Girls in Underserved Communities
Abstract
The Guardian Co-Learning Model, developed by Nigerian social entrepreneur Abisoye Ajayi, represents an innovative approach to addressing the persistent challenges of STEM education access and retention among girls in underserved communities. This paper examines the model's design, cultural and pedagogical foundations, and practical outcomes through a comprehensive analysis of its implementation by the Pearls Africa Youth Foundation. Drawing on established educational theories including Vygotsky's Social Development Theory, Bronfenbrenner's Ecological Systems Theory, and Ladson-Billings' Culturally Relevant Pedagogy, this research situates the Guardian Co-Learning Model within broader educational frameworks while highlighting its unique contributions. The model's distinctive integration of parental involvement—particularly mothers—creates a supportive ecosystem that extends beyond the classroom, addressing cultural and familial barriers that often hinder girls' education in low-resource settings. Comparative analysis with similar programs such as Bridge International Academies and Room to Read reveals the model's innovative approach to cultural contextualization and economic empowerment. Findings indicate significant improvements in STEM education access, retention rates, and community transformation, with measurable impacts on gender equity and family empowerment. This paper concludes with recommendations for scalability, sustainability, and potential adaptation in diverse global education systems, contributing to the growing body of knowledge on effective interventions for improving educational outcomes in underserved communities worldwide.
How to Cite This Article
Ajayi Abisoye (2024). The Guardian Co-Learning Model: A Framework for Improving STEM Education Access and Retention among Girls in Underserved Communities . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(1), 1668-1683. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.1.1668-1683