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
In July 2020, Dr. Brigid Barron and her team at Stanford University’s Graduate School of Education and the Joan Ganz Cooney Center convened a virtual workshop to mobilize a community of investigators to explore innovative methods for studying family and community learning during the pandemic. Participants included NSF RAPID-COVID grantees from Stanford University, University of Washington, and the University of Michigan.
This report summarizes the strategies and insights generated at this workshop so that they may be shared among a wider network of researchers, practitioners, funders, and
For both parents and educators, monitoring and adjusting their behaviors to ensure that children develop appropriate prosocial and learning behaviors is a complex balance between nurturance and limit setting. When these interactions are strained, negative or coercive cycles may emerge that delay appropriate development and exacerbate existing impairment. To disrupt the development of coercive cycles, adults must have the ability to accurately assess the quality of their interactions with children and integrate this information into personal change. Approaches to measuring these types of interactions will inform what we know about the mechanisms of child social, emotional, and learning development in STEM learning settings, and enable the creation of adaptive interventions for those moments when support is most needed. This project envisions a closed-loop intervention framework to promote a supportive and interactive environment around children. Smart wearables will sense interaction and responses between the children and their parents or educators, using embedded machine learning technology to recognize supportive behaviors. The perceived behaviors will be sent to a cloud server where adaptive interaction strategies will be identified from either online psychological consultation or artificial intelligence. These interaction strategies will then be provided to the parents and educators in the form of guidance cues to promote a supportive STEM learning environment around the children.
This planning project aims to understand the barriers and critical problems in the implementation of smart technology and psychological strategies to support adult-child interactions in STEM learning settings. The work will proceed by convening key stakeholders (parent organizations, formal educational institutions, and informal educational institutions) in a series of iterative discussions to produce a set of adult-child behavioral targets that are essential to children’s development of social, emotional, and learning skills. Further discussions will then identify mechanisms to enhance these behaviors, and reduce competing, less effective approaches. Qualitative thematic analysis of the discussions will be used to capture these behaviors and mechanisms. Then technologies will be developed to measure, provide feedback on, and improve these behaviors. These devices will be piloted with adult-child dyads. Audiovisual data collected by the devices will be human coded as well as processed by algorithms to vet the technological capacity of the devices to detect and respond to targeted behaviors. A series of debriefing interviews and surveys with adult-child dyads will be used to determine the feasibility, acceptability, and utility of the devices. The collected preliminary data will support the forming of critical technological and social science research questions that co-inform one another: questions about the social engagement between adults and children will drive the technical research, and what can be discovered via the technological research will open up new questions that can be posed about social engagement between children and adults. Adult-child interactions are key social factors that integrate to produce student social, emotional, and academic outcomes. Within our informal educational communities, our formal educational communities, and our familial communities it is essential to find the best mechanisms for measuring, providing feedback, and improving these interactions. This work thus seeks to advance a new approach to, and evidence-based understanding of, the development of STEM learning. This Smart and Connected Communities project is also supported by the Advancing Informal STEM Learning program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments.
The data collection procedure and process is one of the most critical components in a research study that affects the findings. Problems in data collection may directly influence the findings, and consequently, may lead to questionable inferences. Despite the challenges in data collection, this study provides insights for STEM education researchers and practitioners on effective data collection, in order to ensure that the data is useful for answering questions posed by research. Our engineering education research study was a part of a three-year, NSF funded project implemented in the Midwest
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TEAM MEMBERS:
Ibrahim YeterAnastasia Marie RynearsonHoda EhsanAnnwesa DasguptaBarbara FagundesMuhsin MeneskeMonica Cardella
Engineering is a critical yet understudied topic in early childhood. Previous research has shown that even young children can engage in (versions of) engineering design practices and processes that are similar to those of adult engineers and designers. In this session, we will share and discuss current research projects to explore how different in-school and out-of-school contexts and activities support 3- to 8-year-old children as they engage in engineering design. We will consider ways that the different characteristics of the activities and spaces, as well as the practices of teachers
This exploratory study aims to better understand how adults engage with science in the context of reallife socio-scientific issues (SSIs). Specifically, we examined how parents engage with the issue of radiation from Wi-Fi routers in schools, an issue encountered by parents across the world. Radiation from wireless internet connection (Wi-Fi) routers is a type of radio frequency electromagnetic radiation. Nowadays, exposure to RF radiation is widespread; from Wi-Fi routers in workplaces, homes, restaurants, and even buses and trains to cell phones and microwave ovens. The proliferation of
The Science Fairs Under the 'Scope Study's key findings are summarized here on the topics of:
Models And Elements Of Middle School Science Fairs
Science And Engineering Practices
Cost Of Science Fairs
Parent Involvement In Science Fairs
Science Interest And Identity.
This position paper, co-authored Center for Childhood Creativity's Director Elizabeth Rood and Director of Research Helen Hadani, details the importance of exposing children ages 0-8 to science, technology, engineering, and math (STEM) experiences. The review of more than 150 empirical studies led Rood and Hadani to conclude that, despite what has been previously thought, modern research supports the understanding that children are capable of abstract thinking and STEM-learning from infancy, beginning before their first birthday.
The Roots of STEM Success, authored in support of classroom
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TEAM MEMBERS:
Helen Shwe HadaniElizabeth RoodAmy EisenmannRuthe FousheeGarrett JaegerGina JaegerJoanna KauffmannKatie KennedyLisa Regalla
resourceevaluationMuseum and Science Center Programs
The 5-year longitudinal study on Iridescent's Family Science Learning model was conducted with 2,173 participants from 9 schools and museum sites in Los Angeles and New York City. Participants were underserved elementary school students and their parents. Families met once a week for 5 weeks in a row. Five families (~20 participants) came for all 5 years.
Each program implementation was coordinated by Iridescent team members. The goal of this study was to:
* To identify scalable methods of engaging underserved audiences in STEM.
* To identify sustainable methods of supporting long-term
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
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