In this paper, we use the concept of consequential learning to frame our exploration of what makes learning and doing science matter for youth from nondominant communities, as well as the barriers these youth must confront in working toward consequential ends. Data are derived from multimodal cases authored by four females from nondominant communities that present an account of 'science that matters' from their work during their middle school years. We argue that consequential learning in science for these girls involves engaging science with a commitment to their community. This form of
DATE:
TEAM MEMBERS:
Daniel BirminghamAngela Calabrese BartonAutumn McDanielJalah JonesCamryn TurnerAngel Roberts
In this case study, we highlight the work of the Bay Area STEM Ecosystem, which aims to increase equity and access to STEM learning opportunities in underserved communities. First, we lay out the problems they are trying to solve and give a high level overview of the Bay Area STEM Ecosystem’s approach to addressing them. Then, based on field observations and interviews, we highlight both the successes and some missed opportunities from the first collaborative program of this Ecosystem. Both the successes of The Bay Area STEM Ecosystem--as well as the partners’ willingness to share and examine
Learn how to create opportunities for young people from low-income, ethnically diverse communities to learn about growing food, doing science, and how science can help them contribute to their community in positive ways. The authors developed a program that integrates hydroponics (a method of growing plants indoors without soil) into both in-school and out-of-school educational settings.