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
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
As new technologies continue to dominate the world, access to and participation in science, technology, engineering, mathematics (STEM), and computing has become a critical focus of education research, practice, and policy. This issue is exceptionally relevant for American Indians, who remain underrepresented as only 0.2% of the STEM workforce, even though they make up 2% of the U.S. population. In response to this need, this Faculty Early Career Development Program (CAREER) project takes a community-driven design approach, a collaborative design process in which Indigenous partners maintain sovereignty as designers, to collaboratively create three place-based storytelling experiences, stories told in historical and cultural places through location-based media. The place-based storytelling experiences will be digital installations at three culturally, politically, and historically significant sites in the local community where the public can engage with Indigenous science. The work is being done in partnership with the Northwestern Band of the Shoshone Nation (NWBSN).
The principal investigator and the NWBSN will investigate: (a) what are effective strategies and processes to conduct community-driven design with Indigenous partners?; (b) how does designing place-based storytelling experiences develop tribal members' design, technical, and computational skills?; (c) how does designing these experiences impact tribal members' scientific, technological, and cultural identities? The goals are to establish a process of community-driven design, build infrastructure to support this process, and understand how this methodological approach can result in culturally-appropriate ways to engage with science through technology. The principal investigator will work with the tribe to complete three intergenerational design cycles (a design cycle is made up of multiple design iterations). Each design cycle will result in one place-based storytelling experience. The goal is to include roughly 15 youth (ages 6-18), 10 Elders, and 10 other community members (i.e. members ages 18-50, likely parents) in each design cycle (35 tribal members total). Some designers are likely to participate in multiple design cycles. The tribe currently has 48 youth ages 6-18 and the project aims to engage at least 30 across all three design cycles. Over four years of designing three different experiences, the NWBSN aims to recruit at least 100 tribal members (just under 20% of the tribe) to make contributions (as designers, storytellers, or to provide cultural artifacts or design feedback).
This CAREER award 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. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understanding of deeper learning by participants. This pilot study, Akeakamai (Hawaiian, literally lover of wisdom, scientist, scholar), will explore the convergence of contemporary Western science topics with indigenous Hawaiian culture-based science experiences as a mechanism to strengthen STEM perceptions, cross-cultural science collaboration, and multi-generational community engagement with STEM. The work is grounded in the notion that STEM learning within the context of local informal indigenous community settings should be culturally responsive and culturally sustaining, and should privilege indigenous epistemologies. If successful, the results of this pilot could provide valuable insights on effective approaches to developing and implementing culturally consistent and sustainable multigenerational STEM engagement among Native Hawaiians and Pacific Islanders, and across the Pacific region.
Over a two-year duration, the study will address three research questions. (1) To what extent does inclusion of culture into curriculum designed for informal Culture-Science Explorations mitigate perceived barriers to participation in science? (2) What barriers do community members perceive to limit their participation in science? (3) What are the areas of consonance between Native Hawaiian and Western scientific approaches to knowledge and learning? Approximately 200 predominantly Native Hawaiian and Pacific Islanders, ranging in age from 8 - 85 years old, will participate in the pilot. The research team will collect participant data during all phases of the social intervention, a suite of culture-science exploration experiences held at the Halau Inana, a Native Hawaiian community collaboration space. The intervention will employ pedagogical methods that are responsive to Hawaiian cultural norms to deliver content that integrates across the interfaces of Western science and technology and indigenous knowledge, and incorporates Hawaiian language. A rigorous external evaluation will also be conducted. The results of the research and evaluation will be broadly disseminated. Ultimately, the project aims to develop a conceptual and practical cross-cultural, multi-generational framework for community-based science learning in Hawai'i that can serve as a model for future research and programs that extend into and beyond indigenous communities of the Pacific region.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Helen TurnerJonathan BakerChrystie Naeole
Community collaboration and empowerment was identified by the GENIAL organizers as an important theme to include in the Summit. Informal STEM learning (ISL) organizations strive to engage Latino audiences in their science, technology, engineering, and math (STEM) programming on a long-term basis and recognize the importance of understanding the needs, motivations, interests, and challenges of the diverse Latino community in the context of STEM participation. An effective way to collaborate with a community is to involve them as equal partners in the co-development of ISL experiences. A key
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TEAM MEMBERS:
Salvador AcevedoPaul DusenberyExploratorium
This NSF INCLUDES Design and Development Launch Pilot will improve math achievement among elementary school students of color in public schools in Albuquerque, New Mexico. Recognizing the need to coordinate efforts related to students' math and science achievement, key stakeholders formed the NM STEM Ecosystem, a dynamic network of cross-sector partners committed to making real impact on STEM education and degree attainment in Albuquerque. The NM STEM Ecosystem identified the math achievement gap between low-income students of color and their more economically-advantaged peers as the Broadening Participation (BP) Challenge it would address first. While math achievement gaps between students of color and Caucasian students appear nationally, the situation is particularly dire in New Mexico. In order to keep doors open to future STEM careers, it is crucial that learning pathways for math are articulated early and that these pathways honor families' cultural ways of knowing. The innovative strategy of Math Families & Communities Empowering Student Success (Math FACESS) is to use a collective impact approach to close the math achievement gap by connecting formal and informal STEM educators around a coherent, multi-faceted program of early mathematics teaching and learning that empowers parents and teachers to support children's mathematical development. Implementation of Math FACESS includes four major components: 1) Teachers at two pilot schools will participate in professional development related to Math Talk and Listening; 2) Parents at the pilot schools will participate in parent workshops and community-based activities focused on supporting their children's math achievement; 3) Project partners will implement community-based family activities organized around a theme of Twelve Months of Math; and 4) Ecosystem partners will study what worked and what didn't, in order to identify best practices that can be shared with system leaders to scale effective practices and increase impact.
The near-term objectives for Math FACESS are: 1) improve students' attitudes, practices, and achievement in math; 2) improve parents' attitudes, practices, and confidence in math and increase their utilization of family math resources; 3) improve data-sharing among partners related to math participation and achievement; and 4) create pathways within the Ecosystem for family math learning. The effectiveness of the collective impact model and impacts on partner organizations also will be assessed. Through the math FACESS Launch Pilot, the NM STEM Ecosystem plans to: 1) demonstrate the power of a collective impact social innovation framework to address a systemic community condition -- in this case, the math achievement gap; 2) contribute to theory-of-change research that demonstrates student achievement can be affected by working with parents and teachers; and 3) provide a model that values different ways of knowing and uses cultural context in the design of STEM learning opportunities for students, families, and schools.
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TEAM MEMBERS:
Joe HastingsArmelle CasauObenshain KorenKersti TysonAngelo Gonzales
Designing Our World (DOW) was a four-year NSF-funded initiative in which the Oregon Museum of Science and Industry (OMSI) sought to promote girls’ pursuit of engineering careers through community-based programming, exhibition development, and identity research. The overarching aim of DOW was to engage girls ages 9–14 with experiences that illuminate the social, personally relevant, and altruistic nature of engineering. In addition to programming for girls, the project also included workshops for parents/caregivers, professional development for staff from community partners; and an exhibition
Designing Our World (DOW) was a four-year NSF-funded initiative in which the Oregon Museum of Science and Industry (OMSI) sought to promote girls’ pursuit of engineering careers through community-based programming, exhibition development, and identity research. The overarching aim of DOW was to engage girls ages 9–14 with experiences that illuminate the social, personally relevant, and altruistic nature of engineering. In addition to programming for girls, the project also included workshops for parents/caregivers, professional development for staff from community partners; and an exhibition
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.