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. The uses of technologies in emergency management and public safety are emerging rapidly, but it could take years for school STEM curricula to catch up with the technologies that are already being deployed in the field. Informal learning environments, such as Teen Science Cafés, provide a compelling venue for youth learning about rapidly-developing STEM fields such as technology. The floods and devastation caused by Hurricane Harvey provide a timely learning opportunity for them. This project, in addition to developing new materials for learning about technologies, will provide much-needed baseline research on teens' understanding of technology, technology careers, and emergency preparedness. Leveraging the robust platform of the NSF-funded Teen Science Café, the Maine Mathematics and Science Alliance will build upon its existing partnership with Science Education Solutions to develop and implement a package of educational activities, tools, and resources for a Teen Science Café that is focused on community flood events and response, using Hurricane Harvey as a model and case study. The materials will focus on advances in sensor technology, data visualization, social media, and other mobile communication apps used to detect, monitor and respond to flooding and natural disasters. The package of materials will be embraced by 20 sites in Maine. The goal is to engage at least 600 youth in themed Cafés focusing on how technology was used to respond to Harvey and is being used to manage and respond to flooding more generally. An important related goal is to conduct baseline research on what teens currently know about the flood-related technologies, as well as what they learn about it from this experience derived from recent floods in Texas, Florida, and the Caribbean islands.
A research goal of our work was to collect baseline information on teens’ level of knowledge about the role of technology in responding to a variety of natural disasters. To our knowledge, the field has not developed measures of knowledge of this increasingly important domain. We developed a quick and easy-to-administer 10-item multiple-choice measure, which we presented as a “trivia game” to be done sometime during the 90-minute Café. We did not track pre- to post-café changes in knowledge, because the Cafés emphasized very different pieces of technology as well as different types of natural disasters. Rather, we wished to establish a starting point, so that other researchers who are engaged in ERT efforts with teens have both an instrument and baseline data to use in their work.
A sample of 170 youth completed the questionnaire. The average correct response rate was 4.2 out of 10, only slightly higher than the chance of guessing correctly (3 out of 10). This suggests teens have limited baseline knowledge of Emergency Response Technology and our Cafés therefore served an important purpose given this lack of knowledge. Indeed, for half of the questions at least one incorrect answer was selected more often than the correct answer! Note that there were no statistically significant correlations between age and gender and rates of correct answers.
Three things are clear from our work: 1) Youth need and want to know about the vital roles they can play by learning to use technology in the face of natural disasters; 2) Teens currently know little about the uses of technology in mitigating or responding to disasters; and 3) Teen Science Cafés provide a timely and relatively simple way of sparking interest in this topic. The project showed that it is possible to empower youth to become involved, shape their futures, and care for their communities in the face of disasters. We plan to continue to expand the theme of Emergency Response Technology within the Teen Science Café Network. Reaching teens with proactive messages about their own agency in natural disasters is imperative and attainable through Teen Science Cafés.
This NSF INCLUDES Design and Development Launch Pilot, "Expanding Diversity in Energy and Environmental Sustainability (EDEES)", will develop a network of institutions in the United States mid-Atlantic region to recruit, train, and prepare a significant number of underrepresented, underserved, and underprivileged members of the American society in the areas of alternative energy generation and environmental sustainability. Researchers from Delaware State University (DSU) will lead the effort in collaboration with scientists and educators from the University of Delaware, Delaware Technical Community College, University of Maryland, and Stony Brook University. The program comprises a strong educational component in different aspects of green energy generation and environmental sciences including the development of a baccalaureate degree in Green Energy Engineering and the further growth of the recently established Renewable Energy Education Center at our University. The program comprises an active involvement of students from local K-12 institutions, including Delaware State University Early College High School. The character of the University as a Historically Black College (HBCU) and the relatively high minority population of the region will facilitate the completion of the goal to serve minority students. The program will also involve the local community and the private sector by promoting the idea of a green City of Dover, Delaware, in the years to come.
The goal of EDEES-INCLUDES pilot comprises the enrollment of at least twenty underrepresented minority students in majors related to green energy and environmental sustainability. It also entails the establishment of a baccalaureate degree in Green Energy Engineering at DSU. The program is expected to strengthen the pathway from two-year energy-related associate degree programs to four-year degrees by ensuring at least five students/year transfer to DSU in energy-related programs. The pilot is also expected to increase the number of high school graduates from underrepresented groups who choose to attend college in STEM majors. Based on previous experience and existing collaborations, the partner institutions expect to grow as an integrated research-educational network where students will be able to obtain expertise in the competitive field of green energy. The pilot program comprises a deep integration of education and research currently undergoing in the involved institutions. In collaboration with its partner institutions, DSU plans to consistently and systematically involve students from the K-12 system to nurture the future recruitment efforts of the network. A career in Green Energy Engineering is using and expanding up existing infrastructure and collaborations. The program will involve the local community through events, workshops and open discussions on energy related fields using social networks and other internet technology in order to promote energy literacy.
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TEAM MEMBERS:
Aristides MarcanoMohammed KhanGulnihal OzbayGabriel Gwanmesia
The University of California, Irvine will lead this Design and Development Launch Pilot to engage with collaborators from the Orange County CA STEM Initiative, the Orange County CA Department of Education, the Orange County CA Workforce Investment Board, the Jamboree Affordable Housing Communities, the Orangewood Foundation for Foster and Community Youth Services, OCTANE-Technology Incubator, Project Tomorrow and Growth Section. This project was created in response to the Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (NSF INCLUDES) program solicitation (NSF 16-544). The INCLUDES program is a comprehensive national initiative designed to enhance U.S. leadership in science, technology, engineering and mathematics (STEM) discoveries and innovations focused on NSF's commitment to diversity, inclusion, and broadening participation in these fields. The INCLUDES Design and Development Launch Pilots represent bold, innovative ways for solving a broadening participation challenge in STEM.
The full participation of all of America's STEM talent is critical to the advancement of science and engineering for national security, health and prosperity. Our nation is advancing knowledge and practices to address the computing technology education practices for recruiting, better educating, retaining and graduating a productive STEM workforce. However women who are members of underrepresented minority groups, with low socioeconomic status, historically underperform in STEM and specifically in computing technology. This project, NSF INCLUDES: Supporting Women Advancing Through Technology, has the potential to significantly advance a collaborative approach by a group of organizations to improve the success of poor, underrepresented minority women who are learning computing technology and transitioning to the STEM workforce.
The project will demonstrate the outcomes of computer science training for women, particular disenfranchised and underrepresented minority women that may be exiting foster youth services, living in low income housing, and/or having been denied access to programs particularly in technology due to their socioeconomic status. Partnering organizations will design, develop and launch a short-term, intensive training opportunity in computer science for women ages 16 to 34 who are unemployed or underemployed, and who desire to engage in upward career mobility. The program will include a replicable, custom curriculum and an educational approach that will be scalable. A boot camp will teach the fundamentals of Ruby on Rails, HTML, CSS, SQL, JavaScript, and AngularJS, and prepare participants for a career in web development while enabling them to keep their day jobs and have childcare provided. Educating a randomized sample treatment group of up to 150 women in this launch pilot, the partners will also offer internships and/or job shadows, where participants gain client experience, learn from more experienced developers, and continue to build their portfolios. All of the women in the program will receive information, coaching and exposure to college and career opportunities. Job placement in STEM careers is the outcome goal of this design and development launch pilot.
Cities and communities in the U.S. and around the world are entering a new era of transformational change, in which their inhabitants and the surrounding built and natural environments are increasingly connected by smart technologies, leading to new opportunities for innovation, improved services, and enhanced quality of life. The Smart and Connected Communities (SCC) program supports strongly interdisciplinary, integrative research and research capacity-building activities that will improve understanding of smart and connected communities and lead to discoveries that enable sustainable change to enhance community functioning. This project is a Research Coordination Network (RCN) that focuses on achieving SCC for medium/small size, remote, and rural communities through a polycentric (multiple centers) integrated policy, design, and technology approach. The communities served by the RCN have higher barriers to information, resources, and services than larger urban communities. To reduce this gap, the PIs propose to develop need-based R&D pipelines to select solutions with the highest potential impacts to the communities. Instead of trying to connect under-connected communities to nearby large cities, this proposal aims to develop economic opportunities within the communities themselves. This topic aligns well with the vision of the SCC program, and the proposed RCN consists of a diverse group of researchers, communities, industry, government, and non-profit partners.
This award will support the development of an RCN within the Commonwealth of Virginia which will coordinate multiple partners in developing innovations utilizing smart and connected technologies. The goal of the research coordination network is to enable researchers and citizens to collaborate on research supporting enhanced quality of life for medium, small, and rural communities which frequently lack the communication and other infrastructure available in cities. The research coordination network will be led by the University of Virginia. There are 14 partner organizations including six research center partners in transportation, environment, architecture and urban planning, and engineering and technology; two State and Industry partners (Virginia Municipal League and Virginia Center for Innovative Technology); four community partners representing health services (UVA Center for Telemedicine), small and remote communities (Weldon Cooper Center), neighborhood communities (Charlottesville Neighborhood Development), and urban communities (Thriving Cities); and two national partners which support high speed networking (US-Ignite) and city-university hubs (MetroLab). Examples of research coordination include telemedicine services, transportation services, and user-centric and community-centric utilization and deployment of sensor technologies.
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TEAM MEMBERS:
Ila BermanT. Donna ChenKaren RheubanQian Cai
The Art of Science Learning, Phase 2 was an NSF-funded research and development project to investigate the value of incorporating arts-based learning techniques in STEM-related group innovation processes. The project team created a new, arts-infused innovation curriculum in consultation with leading national practitioners in the arts, creativity, and innovation, then deployed that curriculum in “innovation incubators” in San Diego, Chicago, and Worcester (Mass.) in partnership with informal STEM institutions in those cities. At each incubator, diverse members of the public (from high school
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TEAM MEMBERS:
Peter LinettSteve ShewfeltNicole BaltazarNnenna OkekeDreolin FleisherEric LaPlantMadeline SmithChloe Chittick PattonSarah LeeHarvey Seifter
Co-led by the University of Washington and Science Gallery Dublin, this project aims to drive and transform the next generation of broadening participation efforts targeting teen-aged youth from communities historically underrepresented in STEM fields. This project investigates how out-of-school time (OST) programs that integrate epistemic practices of the arts, sciences, computer science, and other disciplines, in the context of consequential activities (such as creating radio segments, designing museum exhibitions, or building online games), can more broadly appeal to and engage youth who do not already identify as STEM learners. STEM-related skills and capacities (such as computational thinking, design, data visualizations, and digital storytelling) are key to productive and creative participation in many future civic and workplace activities, and are driving the 30 fastest-growing occupations in the US. But many new jobs will entail a hybrid blend of skills, such as programming and design skills that many students who have disengaged with academic STEM pathways may already have and would be eager to develop further. There is not currently a strong foundation of research-based evidence to guide the design, implementation, and evaluation transdisciplinary programs - in which STEM skills are embedded as tools for meaningful participation - or how such approaches relate to long-term outcomes. Hypothesizing that OST programs which effectively engage youth during their high-leverage teenage years can significantly impact youths' longer-term STEM learning trajectories, this project will involve: 1) Five 3-year studies documenting learning in different technology-rich contexts: Making Afterschool, Media Production, Museum Exhibition Design, Digital Arts Programs, and Pop-Up/Street Science Programs; 2) A 4-year longitudinal study, involving 100 youth from the above programs; 3) The creation of a number of practical measurement tools that can be used to monitor how programs are leveraging the intersections of the arts and sciences to support student engagement and learning; and 4) A Professional Development program conducted at informal science education conferences in the EU and US to engage the informal STEM field with emerging findings. This project is funded through Science Learning+, which is an international partnership between the National Science Foundation (NSF) and the Wellcome Trust with the UK Economic and Social Research Council. The goal of this joint funding effort is to make transformational steps toward improving the knowledge base and practices of informal STEM experiences to better understand, strengthen, and coordinate STEM engagement and learning. Within NSF, Science Learning+ is part of the Advancing Informal STEM Learning (AISL) program that seeks to enhance learning in informal environments.
Transdisciplinary, equity-oriented OST programs can provide supportive social contexts in which STEM concepts and practices are taken up as the means for meaningful participation in valued activities, building students' STEM skills in ways that can propel their future academic, career, and lifelong learning choices. This project will build the knowledge base about these emerging 21st century transdisciplinary approaches to broadening participation investigating: 1) The epistemic intersections across a range of disciplines (art, science, computation, design) that operate to broaden appeal and meaningful participation for underrepresented youth; 2) How transdisciplinary activities undertaken in the context of consequential learning (e.g., producing a radio segment, designing an exhibition for the general public) can illuminate the relevance of STEM to young people's lives, concerns, and futures; and 3) How participation in such programs can propel students' longer-term life choices and STEM learning trajectories. The project is a collaboration of the University of Washington, Science Gallery Dublin, Indiana University, Youth Radio in Oakland California, Guerilla Science in New York and London, and the London School of Economics.
Large gaps in achievement and interest in science and engineering [STEM] persist for youth growing up in poverty, and in particular for African American and Latino youth. Within the informal community, the recently evolving “maker movement” has evoked interest for its potential role in breaking down longstanding barriers to learning and attainment in STEM, with advocates arguing for its “democratizing effects.” What remains unclear is how minoritized newcomers to a makerspace can access and engage in makerspaces in robust and equitably consequential ways.
This paper describes how and why
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
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.
This project will develop culturally responsive making and makerspaces with Indigenous communities in Arizona and Utah. The investigators will work in and with these communities to design maker activities utilizing technologies that complement existing cultural practices where the communities are located. This will be done by addressing the following research questions: 1) How does the design of a community makerspace located at a community college on tribal lands differ from the design of a mobile makerspace that travels between tribal communities? What are the affordances and constraints of each model?; 2) How do high-low tech making activities implemented in these two distinct makerspaces support culturally responsive making and STEM learning in American Indian communities?; and 3) How do these new makerspaces and activities impact youth, teacher, and community conceptions of and interest in STEM learning?
By leveraging heritage craft practices, Indigenous technologies, and a mixture of high-low tech tools and materials, this project will expand the range of available maker activities and broaden our definitions of making to encompass craft practices and Indigenous technologies, which are often excluded from the maker literature and makerspaces. Through the design and development of local and mobile makerspace models serving American Indian communities, knowledge of how to design makerspaces that meet community needs and foster STEM learning will be generated. In terms of broader impact, the project will diversify making activities and makerspaces in ways that allow broadened participation in making for underserved American Indian communities. A key project goal is to critically explore making as a democratizing practice that can broaden Indigenous communities' access to and participation in STEM learning. This project is a part of NSF's Maker Dear Colleague Letter (DCL) portfolio (NSF 15-086), a collaborative investment of Directorates for Computer & Information Science & Engineering (CISE), Education and Human Resources (EHR) and Engineering (ENG).
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TEAM MEMBERS:
Bryan BrayboyYasmin KafaiKristin SearleBreanne Litts
Community education with regard to science comes in many forms and is usually designed to address issues within that community. In this proposal, land use is the focus. This is a general topic and applicable in nearly all locations within communities and in the State. In this case, the topic is used to educate adults and high school students providing each with unique identities. Using satellite-enabled tools, the topology of an area can be mapped in detail and assessed for use thus enabling science education for both adults and high school students. The studies will involve intergenerational learning which is an area needing additional study. Also, the proposers are going to broaden the scope so that it impacts several different areas in the State of Connecticut. This is important because in doing so it will include the diversity of cultures within the State and the education results will reflect this diversity. As a part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds research and innovative resources for use in a variety of settings. This proposed effort aims to promote lifelong STEM learning through a focus on conservation, geospatial technology and community engagement. The goals are to: (1) develop particular STEM knowledge and skills, and foster STEM identity authoring/learning in two disparate groups of lifelong learners, and (2) gain a deeper understanding of the ways that this learning occurs through research and evaluation. The project will develop an educational program that focuses on conservation science and recent advances in web-enabled geospatial technologies (geographic information systems, remote sensing, and global positioning systems) that, for the first time, make these technologies accessible and attainable for the public. The focus will be on urban and rural areas with underrepresented populations of STEM learners. Two groups of lifelong learners will be targeted: adult volunteers involved with community land conservation issues, and high school-aged adolescents enabling the project to investigate the processes and impacts of intergenerational learning.
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TEAM MEMBERS:
John VolinDavid MossDavid CampbellChester ArnoldCary Chadwick