Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
The Montshire Museum of Science in partnership with The Family Place will facilitate the program “Families Learning Together: Strengthening a Local System of Support for STEM Learning” for young parents and their children. Informed by a pilot partnership, the program will provide families with hands-on math and science instruction and informal learning opportunities. Programming for young parents ages 15 to 25 will develop their relevant academic knowledge and core life skills to prepare them for parenthood and the workplace. Participating families will receive free admission to accessible exhibits and programming.
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TEAM MEMBERS:
Katherine Price
resourceprojectProfessional Development, Conferences, and Networks
Growth in the US Latinx population has outpaced the Latinx growth in science, technology, engineering, and math (STEM) degrees and occupation, further widening the ethnic gap in STEM. Mathematics has often identified as a bottleneck keeping many youth, especially minoritized youth, from pursuing STEM studies. Unequal opportunities to develop powerful math assets explain differences in math skills and understanding often experienced by minoritized youth. Implementing culturally responsive practices (CRP) in afterschool programs has the potential to promote math skills and motivation for youth from minoritized groups. However, extensive research is needed to understand which culturally responsive informal pedagogical practices (CIPPs) are most impactful and why. This project aims to identify and document such practices, shed light on the challenges faced by afterschool staff in implementing them, and develop training resources for afterschool staff to address these challenges. This project is funded by the Advancing Informal STEM Learning (AISL) Program which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
The fundamental research questions addressed by the project focus on (1) which CIPPs matter most in the context of a STEM university-community partnership engaging Latinx youth, and (2) in what context(s) and under what conditions do these CIPPs relate to positive outcomes for both youth participants and college mentor/facilitator. A third aim is to build capacity of afterschool staff for implementing CIPPs in informal STEM afterschool programs. The first two aims are addressed through a mixed-methods research study which includes quantitative surveys and qualitative in-depth interviews with five cohorts of adolescent participants, parents, and undergraduate mentors. Each year, surveys will be collected from adolescents and mentors at four time points during the year; the in-depth interviews will be collected from adolescents, parents, and mentors in the spring. In total, 840 adolescents and 210 mentors will be surveyed; and 87 adolescents, 87 parents, and 87 mentors will be interviewed. The third aim will be addressed by leveraging the research findings and the collective knowledge developed by practitioners and researchers to create a public archive containing documentation of CIPPs for informal STEM afterschool programs and training modules for afterschool staff. The team will disseminate these resources extensively with informal afterschool practitioners in California and beyond. Ultimately, this project will lead to improved outcomes for minoritized youth in informal STEM afterschool programs across the nation, and increased representation of minoritized youth in STEM pursuits.
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TEAM MEMBERS:
Alessandra PantanoSandra SimpkinsCynthia Sanchez Tapia
resourceprojectProfessional Development, Conferences, and Networks
Data science is ever-present in modern life. The need to learn with and about data science is becoming increasingly important in a world where the quantity of data is constantly growing, where one’s own data are often being harvested and marketed, where data science career opportunities are rapidly increasing, and where understanding statistics, data sources, and data representation is integral to understanding STEM and the world around us. Museums have the opportunity to play a critical role in introducing the public to data science concepts in ways that center personal relevance, social connections and collaborative learning. However, data science and statistics are difficult concepts to distill and provide meaningful engagement with during the brief learning experiences typical to science museums. This Pilot and Feasibility study brings together data scientists, data science educators, and museum exhibit designers to consider these questions:
What are the important data science concepts for the public to explore and understand in museum exhibits?
How can museum exhibits be designed to support visitors with diverse backgrounds and experiences to engage with these data science concepts?
What principles can shape these designs to promote broadening participation in data science specifically and STEM more broadly?
This Pilot and Feasibility project combines multidisciplinary expert convening, feasibility testing, and early exploratory prototyping around the focal topic of data science exhibits. Project partners, TERC, the Museum of Science, Boston, and The Tech Interactive in San Jose will engage in an iterative process to develop a theoretical grounding and practical guidance for museum practitioners. The project will include two convenings, bringing together teams of experts from the fields of data science, data science education and museum exhibit design. Prior to the first convening, an initial literature summary and a survey of convening participants will be conducted, culminating in a preliminary list of big ideas about data science. Periodically, participants will have the opportunity to rank, annotate and expand this list, as a form of ongoing data collection. During the convenings, participants will explore the preliminary list, share related work from the three disciplines, engage with related data science activities in small groups, and work together to build consensus around promising data science topics and approaches for exhibits. Participant evaluation will allow for iterative improvement of the convenings and the capture of missed points or overlooked topics. After each convening, museum partners will create prototypes that respond to the convening conversations. Prototypes will be pilot tested (evaluated) with an intentionally recruited group of families that includes both frequent visitors and those who are less likely to visit the museum; diversity in terms of race, languages and dis/ability will be reflected in selection. Pilot data collection will consist of structured observations and interviews. Results from the first round of prototyping will be shared with convening participants as a way to modify the list of big ideas and to further interrogate the feasibility of communicating these ideas in an exhibit format. Results from the convenings and from both rounds of prototyping will be combined in a guiding document that will be shared on all three partner websites, and more broadly with the informal STEM learning field. The team will also host a workshop for practitioners interested in designing data science exhibits, and present at a conference focused on museum exhibits and their design.
The project will develop and research an after-school program designed to engage rural, Latinx youth in design thinking and math through making. Making is a learner-centered environment where participants design, create, and develop projects. Latinx individuals are underrepresented in the STEM workforce. The project will engage Latinx youth during the critical middle school years when young people make choices that affect their futures. The project will work with community members, after school staff, and youth as co-designers to develop and pilot the complete after school program. The program will involve Latinx youth who live in the agricultural regions of the Southwest United States with the goal of developing agency and positive identity, as makers, mathematical doers and users, and active community members. They will engage in developmentally appropriate mathematics, such as the volume and surface area of geometric shapes, within the context of informal learning projects. The program will comprise four semester-long after school projects, involving participants for 2-4 hours each week, during which time youth will design and create objects to address typical community challenges. Each project will incorporate smaller modules to enable youth with different attendance needs to participate. Real community problems (e.g., drought) and solution paths (e.g., water catchment system) will motivate the making and the mathematics. The program, co-designed in partnership with the Cesar Chavez Foundation, promises to reach 100,000 youth over the next decade. Because the program can serve as a model for others with similar goals, this reach has the potential to be expanded in many other communities.
Project research will address a gap in the current literature on mathematics, making, and community membership. The project connects community mathematics—the rich mathematical knowledge and practices drawn from communities—to educational making to both enrich understanding of school mathematics and aid in developing students’ positive mathematical and cultural identities. The project will also result in a model of professional development that can be used and studied by after school programs and researchers, contributing to the limited body of knowledge of professional development on STEM making for after school facilitators. The research design for this project will follow a mixed methods approach where quantitative and qualitative data collection and analysis will occur simultaneously. Results of both strands will be brought together at the interpretation and reporting level to compare and bring out the convergence, divergence, or complementarity of findings. The research will take place in two stages (co-design and pilot) over 3 years, with an additional half year for developing communications of the findings. Research will address the following questions: (1) What are the key features of projects for integrating community mathematics, school mathematics understanding, and design/making? (2) How do facilitators support the youth in engaging in program activities? (3) What math content and practices do youth learn through participation in program activities? and (4) How do youth’s agency and identity as makers, mathematics doers and users, and community members change with participation in the program? Program research and resources will be disseminated nationally through the Cesar Chavez Foundation and by sharing project research and resources through publications and conference presentations reaching researchers, educators, and program developers.
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