This project examines how curricula and practices in a culturally situated, community-based youth development program nurture and support the STEM engagement of Black and Latinx boys and girls.
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TEAM MEMBERS:
Amanda CaseSigne KastbergNielsen PereiraJessica Hauser
This project uses bikes and biking to introduce STEM content and experiences to traditionally underrepresented youth (grades 9-10) by having them participate in place-based informal learning activities.
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TEAM MEMBERS:
Noemi WaightShakhnoza KayumovaRyan RishGreses PerezSarah Robert
Mathematizing, Visualizing, and Power (MVP): Appalachian Youth Becoming Data Artists for Community Learning is a three-year Advancing Informal STEM Learning, Innovations and Development, project that focuses on community-centered data exploration catalyzed by youth. The project develops statistical artistry among young people in East Tennessee Appalachian communities and enables these youth to share their data visualizations with their communities to foster collective reflection and understanding. The creative work generated by the MVP project will be compelling in two ways, both as statistical art and as powerful statements giving voice to the experience of communities. Critical aspects of the MVP model include (1) youth learning sessions that position youth as owners of data and producers of knowledge and (2) Community Learning Events that support community learning as youth learning occurs. The MVP project has a primary focus on broadening the STEM participation of underrepresented communities of Appalachia. The project’s mission is to increase the learning and life outcomes of young people and communities of Appalachia by creating a meaningful foundation of data science and collective data exploration. The University of Tennessee partners with Pellissippi State Community College, Drexel University, and the Boys & Girls Club of the Tennessee Valley to bring together a convergent team of community members, practitioners, and professionals, with the expertise to carry out the project. The project will impact approximately 120 youth and 3800 of their East Tennessee community members. The research generated will inform how to engage community members in learning about community issues through the exploration of datasets relevant to participants.
The field of STEM education is in urgent need of knowledge about effective models to inspire community-based data exploration with young people as leaders in these efforts. The MVP project includes engaging youth with meaningful problems, building a discourse community with possibilities for action, re-positioning youth as knowledge producers within their own communities, leveraging linguistic and cultural resources of the youth participants and their communities, and implementing critical events that support substantial interaction between youth, community members, and the data visualizations. MVP builds on the idea that the design of data visualizations requires an understanding of both data science and artistic design. Research will inform the model of community engagement, examine data artists’ identities, and document community learning. The MVP model will be designed, developed, tested, and refined through three cycles of design-based research. The overarching research question guiding these cycles is: What affordances (and delimitations) related to identity and learning does the model provide for MVP Youth and community members? Data sources for the project include: fieldnotes, portfolios created by MVP Youth, youth pre/post interviews, observations of the learning sessions, a project documentary, surveys for youth and community members, interviews with community members, and audience feedback. The National Institute for STEM Evaluation and Research (NISER) will provide formative and summative evaluation about project activities. Formative feedback will be integrated into the ongoing research cycles. The research conducted will inform (1) the community learning model; (2) the integrated pedagogy and curriculum of the MVP Youth learning sessions that emphasize data science through design arts; and, (3) research on community learning and youth identity. Findings will be shared through conferences, academic and practitioner-focused journals, a video documentary, a Summit on Engaging Youth and Communities in Data, and a project website.
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TEAM MEMBERS:
Lynn HodgeElizabeth DyerJoy BertlingCarlye Clark
resourceprojectProfessional Development, Conferences, and Networks
Developing solutions to large-scale collective problems -- such as resilience to environmental challenges -- requires scientifically literate communities. However, the predominant conception of scientific literacy has focused on individuals, and there is not consensus as to what community level scientific literacy is or how to measure it. Thus, a 2016 National Academies of Sciences, Engineering, and Medicine report, “Science Literacy: Concepts, Contexts, and Consequences,” stated that community level scientific literacy is undertheorized and understudied. More specifically, the committee recommended that research is needed to understand both the i) contexts (e.g., a community’s physical and social setting) and ii) features of community organization (e.g., relationships within the community) that support community level science literacy and influence successful group action. This CAREER award responds to this nationally identified need by iteratively refining a model to conceptualize and measure community level scientific literacy. The model and metrics developed in this project may be applied to a wide range of topics (e.g., vaccination, pandemic response, genetically-modified foods, pollution control, and land-use decisions) to improve a community’s capacity to make scientifically-sound collective decisions. This CAREER award is funded by the Advancing Informal STEM Learning (AISL) and the EHR CORE Research (ECR) programs. It supports the AISL program goals to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. It supports the ECR program goal to advance relevant research knowledge pertaining to STEM learning and learning environments.
The proposed research will conceptualize, operationalize, and measure community level scientific literacy. This project will use a comparative multiple case study research design. Three coastal communities, faced with the need to make scientifically-informed land-use decisions, will be studied sequentially. A convergent mixed methods design will be employed, in which qualitative and quantitative data collection and analyses are performed concurrently. To describe the i) context of each community case, this project will use qualitative research methods, including document analysis, observation, focus groups, and interviews. To measure the ii) features of community organization for each community case, social network analysis will be used. The results from this research will be disseminated throughout and at the culmination of the project through professional publications and conference presentations as well as with community stakeholders and the general public. The integrated education activities include a professional learning certificate for informal science education professionals and STEM graduate students. This certificate emphasizes high-quality community-engaged scholarship, placing students with partners such as museums, farmer’s markets, and libraries, to offer informal learning programs in their communities. This professional learning program will be tested as a model to provide training for STEM graduate students who would like to communicate their research to the public through outreach and extension activities.