The Garfield Park Conservatory will launch a new initiative to expand and improve its offerings for local students and teachers with a focus on meeting the needs of Title I schools and under-served schools on Chicago's West Side. The new Student Engagement and Educational Development (SEED) program is designed to enhance the quality of fieldtrip experiences for PreK-8 students visiting the conservatory; support teachers in planning and connecting their conservatory fieldtrips to their classroom studies; align fieldtrip content to Next Generation Science Standards; provide increased access to STEM-based fieldtrips for the city's Title I schools; and connect under-resourced schools on Chicago's West Side more deeply to the conservatory. This program will build the organization's capacity to serve more students and teachers each year, and make the conservatory more appealing to teachers, more engaging for students, and easier to access for low-income schools that struggle to provide their students fieldtrip experiences.
Increasing demand for curricula and programming that supports computational thinking in K-2 settings motivates our research team to investigate how computational thinking can be understood, observed, and supported for this age group. This study has two phases: 1) developing definitions of computational thinking competencies, 2) identifying educational apps that can potentially promote computational thinking. For the first phase, we reviewed literatures and models that identified, defined and/or described computational thinking competencies. Using the model and literature review, we then
For the past two decades, researchers and educators have been interested in integrating engineering into K-12 learning experiences. More recently, computational thinking (CT) has gained increased attention in K-12 engineering education. Computational thinking is broader than programming and coding. Some describe computational thinking as crucial to engineering problem solving and critical to engineering habits of mind like systems thinking. However, few studies have explored how computational thinking is exhibited by children, and CT competencies for children have not been consistently defined
The aim of this review of the literature is to identify what we already know about the engagement of children aged under eight in makerspaces. Given the limited literature in the area, the review takes a broader look at makerspaces for older children where relevant. This is not a systematic review; its aim is not to offer an exhaustive account of all of the research conducted in the area. Rather, this narrative review provides an introduction to key aspects of research on makerspaces and enables the identification of themes dominant in the field, and those areas where more research is needed
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Jackie MarshKristiina KumpulainenBobby NishaAnca VelicuAlicia Blum-RossDavid HyattSvanborg JónsdóttirRachael LevySabine LittleGeorge MarusteruMargrét Elísabet ÓlafsdóttirKjetil SandvikFiona ScottKlaus ThestrupHans Christian ArnsethKristín DýrfjörðAlfredo JornetSkúlína Hlíf KjartansdóttirKate PahlSvava PétursdóttirGísli ThorsteinssonUniversity of Sheffield
Ruff Family Science is an exploratory project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. Building on the success of the PBS series FETCH! with Ruff Ruffman, the project leverages FETCH’s funny and charismatic animated host, along with its proven approach to teaching science, to inspire educationally disadvantaged families to explore science together. More specifically, the project is undertaking a research and design process to create prototype
Informal science learning (ISL) organizations that are successful at providing meaningful science, technology, engineering, arts, and mathematics (STEAM) experiences for Latino children, youth, and their families share some common traits. They have leaders and staff who believe in the importance of developing culturally relevant models and frameworks that meet the needs and acknowledge the legacy of STEAM in Latino communities. Such organizations are willing to take risks to create experiences that are culturally meaningful, garner funding and implement programs by working closely with their
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Cheryl JuarezVerónika NúñezExploratorium
This study explored the effect of depth of learning (as measured in hours) on creativity, curiosity, persistence and self-efficacy. We engaged ~900 parents and 900 students across 21 sites in Washington, Chicago, Los Angeles, New York, Alabama, Virginia and the United Arab Emirates, in 5-week (10-hr) Curiosity Machine programs. Iridescent trained partners to implement the programs. Thus, this analysis was also trying to establish a baseline to measure any loss in impact from scaling our programs and moving to a “train-the-trainer” model. We analyzed 769 surveys out of which 126 were paired. On
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. This project will develop a national infrastructure of state and regional partnerships to scale up The Franklin Institute's proven model of Leap into Science, an outreach program that builds the capacity of children (ages 3-10) and families from underserved communities to participate in science where they live. Leap into Science combines children's science-themed books with hands-on science activities to promote life-long interest and knowledge of science, and does so through partnerships with informal educators at libraries, museums, and other out-of-school time providers. Already field-tested and implemented in 12 cities, Leap into Science will be expanded to 90 new rural and urban communities in 15 states, and it is estimated that this expansion will reach more than 500,000 children and adults as well as 2,700 informal educators over four years. The inclusion of marginalized rural communities will provide new opportunities to evaluate and adapt the program to the unique assets and needs of rural families and communities.
The project will include evaluation and learning research activities. Evaluation will focus on: 1) the formative issues that may arise and modifications that may enhance implementation; and 2) the overall effectiveness and impact of the Leap into Science program as it is scaled across more sites and partners. Learning research will be used to investigate questions organized around how family science interest emerges and develops among 36 participating families across six sites (3 rural, 3 urban). Qualitative methods, including data synthesis and cross-case analysis using constant comparison, will be used to develop multiple case studies that provide insights into the processes and outcomes of interest development as families engage with Leap into Science and a conceptual framework that guides future research. This project involves a partnership between The Franklin Institute (Philadelphia, PA), the National Girls Collaborative Project (Seattle, WA), Education Development Center (Waltham, MA), and the Institute for Learning Innovation (Corvallis, OR).
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
In order to improve science, technology, mathematics, and engineering (STEM) learning, it is crucial to better understand the informal experiences that young children have that prepare them for formal science education. Young children are naturally curious about the world around them, and research in developmental psychology shows that families often support children in exploring and seeking explanations for scientific phenomena. It is less clear how to link children's natural curiosity and everyday parent-child interaction with more formal STEM learning. This collaborative project will team researchers from the University of California, Santa Cruz, the University of Texas, and Brown University with informal learning practitioners at the Children's Discovery Museum, The Thinkery, and the Providence Children's Museum in order to investigate how family interaction relates to children's causal learning, as well as how modifications to museum exhibit design and facilitation by museum staff influence families' styles of interaction and increase children's causal learning. This project is funded by the Research on Education and Learning (REAL) program which supports fundamental research by investigators from a range of disciplines in order to deepen what is known about STEM learning.
The project team will examine how ethnically and linguistically diverse samples of parents and children engage in collaborative scientific learning in three children's museums across the U.S. The research will combine observational studies of parent-child interaction in a real-world setting with experimental measures of children's causal learning. The investigators will examine how children explore and derive explanations for museum exhibits about mechanical gear function and fluid dynamics. In this way, the researchers will investigate the relation between styles of parent-child interaction and children's causal learning. The team will also investigate novel ways of presenting material within the exhibits to facilitate exploration and explanation. They will explore how signage, conversations with museum staff, parents' attitudes towards learning in museum settings, and parents' own prior knowledge about the exhibits can influence the parent-child interaction and subsequent causal learning. The project will advance the basic research goal of advancing what is known about what affects children's science content learning. It will also advance the practice-oriented goal of developing new strategies for the design of science museum exhibits and make recommendations for how parents can better talk to their children about scientific phenomena.
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
The Peg + Cat ELM2 project sought to combine robust media-integrated teacher training in both math content and facilitation of classroom and family engagement activities with transmedia resources that parents and children could utilize at home. This cohesive approach resulted in increases in teachers’ confidence in and knowledge about their mathematics instruction, parents’ engagement in activities and conversations with their children around math, and children’s positive and persistent attitudes towards math, as reported by their parents. Taken together, these findings suggest that the Peg +