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Family and Consumer Sciences Commons™

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Full-Text Articles in Family and Consumer Sciences

Reducing Food Waste Through Education And Community Collaboration, Myeesha Lance, Sharneece Gary Sep 2026

Reducing Food Waste Through Education And Community Collaboration, Myeesha Lance, Sharneece Gary

EFNEP

This Land-Grant Press publication explores strategies to reduce food waste through education, innovation, and community engagement. It highlights consumer behaviors, date label confusion, and planning practices that drive waste, while offering practical solutions like meal planning, grocery management, and clearer food labeling. Key takeaways include the importance of behavior change, policy collaboration, and Extension-led outreach. Target audiences include educators, policymakers, community leaders, and households seeking to improve sustainability and food security


Community-Based Participatory Research In Developing Online Nutrition Tools: A Pathway To Relevance And Engagement, Laura Justice, Stacy Phillips May 2026

Community-Based Participatory Research In Developing Online Nutrition Tools: A Pathway To Relevance And Engagement, Laura Justice, Stacy Phillips

EFNEP

This article explains how Community-Based Participatory Research (CBPR) can strengthen the design of digital nutrition tools by ensuring they are culturally relevant, accessible, and grounded in community needs. By engaging participants as equal partners, CBPR enhances trust, usability, and long-term impact. The approach aligns with EFNEP’s mission to deliver inclusive, community-driven nutrition education and provides a framework for developing sustainable, adaptable tools that reflect the lived experiences of the families Extension serves.


Exploring Generative Artificial Intelligence (Genai) And Developing Ai Competencies Through Joint Media Engagement In Family Settings, Tolulope Famaye Dec 2025

Exploring Generative Artificial Intelligence (Genai) And Developing Ai Competencies Through Joint Media Engagement In Family Settings, Tolulope Famaye

All Dissertations

As generative AI (GenAI) becomes increasingly prevalent, institutions seek to understand how students can explore AI in classrooms and develop AI literacy. However, little is known about how, families use these Large Language Models (LLMs) at home and how such engagement supports the development of foundational AI literacy skills. This study examines family engagement with generative AI to understand how AI competencies develops outside formal classrooms and to provide insights for designing contextually relevant AI learning experiences in schools. The study employs a single case study design, integrating quantitative analysis, thematic analysis, and quantitative ethnography to examine and analyze data …