As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. Informal STEM learning opportunities are often rare in rural locations where the early childhood education system is also under-resourced. Through partnerships with educational researchers, early math educators, pediatric health experts, and pediatric clinics, this project will develop and study a new opportunity for informal math learning. The project will work with pediatric clinics that serve rural immigrant families who are racially, culturally, and linguistically diverse. The project leverages the high levels of trust many caregivers have in their child’s pediatrician to improve math learning during critical early years. This project will build on a previous program where physician text messages to caregivers supported youth literacy development. In this instance the project will support caregivers’ math interactions with their 3- and 4-year-olds to cultivate children's math knowledge and skills. The text messaging program will be grounded in research in child development, mathematics learning, parenting practices, and adult behavior change. Texts will also provide caregiver supports for how to engage their children in mathematical activates in their everyday lives and provide information about the important skills children are developing. Text messages will be co-developed with caregiver input, and focus on content underlying mathematical development such as Number Sense, Classification and Patterning, Measurement, Geometry, and Reasoning. Caregivers will receive text messages from their pediatric clinics three times a week for eight months. For example, three related texts supporting Number Sense include: “FACT: Kids enjoy counting and it prepares them for K! Mealtimes are a fun time to practice counting objects;” “TIP: At a meal, say: Can you count all the cups on the table? All the plates? What else can you count? (Forks) Tell them: Great job!” and “GROWTH: You are helping kids to count & get ready for K. At the park, ask: How many bikes are there? How many birds? Count together & find out!” Throughout the planning and implementation phases of the project the team will work closely with early education math experts, key advisors, and caregivers to ensure the text messaging program is tailored to meet the cultural, linguistic, and contextual needs of rural caregivers and children.
The project will research impacts of the text messaging program on children, caregivers, and clinical staff. First, the project will investigate the impact of the texting program on children through a randomized trial, and pre-and-post measures of early childhood math skills and abilities. Second, using interviews at baseline and in a 9-month follow-up, the project will study the texting program’s impact on caregivers’ perceptions regarding the importance of math learning for young children. Third, the project will explore the impact of the text messaging program on health professionals’ understanding of math learning in early childhood by collecting qualitative data and assessing attitudes about the clinic’s role in supporting early math. Caregivers and clinic staff will also participate in focus groups to better understand impacts for each of these groups. The project will reach 1000 families, who will be randomly assigned to treatment or control groups through block-randomization, stratified by caregiver language and child’s age. This parent-informed project will build evidence toward new approaches to promoting early math in the pediatric clinic, an informal environment that can reach all families and can leverage innovative technology. Findings will be shared widely though a communication and engagement plan that includes children, caregivers, physicians and clinic staff, informal STEM educators, researchers, and policy makers.
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TEAM MEMBERS:
Lisa ChamberlainSusanna LoebJaime Peterson
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