The Aldrich Contemporary Art Museum will amplify its partnership with Hart Magnet School, a Title 1 elementary school in urban Stamford, Connecticut, by increasing exposure and access to the arts for first-fifth graders, their families, and educators. A new program model, leveraging the museum's artist exhibitions, will focus on technology and an inquiry-based approach to science. Students, educators, and families will be encouraged to see and think in new ways through on-site STEAM tours at the museum, artist-led workshops at Hart, teacher professional development, and afterschool family activities. Outside evaluators will work with the project team to develop goals and associated metrics to measure how the model of museum-school partnership can enhance student achievement, engage families more deeply in their child's school experience and community, and contribute to teacher professional development. The evaluator will also train museum staff on best practices for program assessment.
Cities are facing new demands as their urban populations rapidly grow. Smart City initiatives are being developed to address issues of mobility, infrastructure, security, and safety, while enhancing the quality of life of citizens. One-size-fits-all solutions are not viable. Instead, the diversity of a city's residents, including life experiences, cultural backgrounds, needs, and behaviors, must be taken into account to achieve transformative, citizen-centered solutions. Engineers, scientists, policy makers, entrepreneurs, and thought leaders must be prepared to tackle future Smart City challenges, and address knowledge barriers in understanding the needs of citizens across age, occupation, financial standing, disability, and technology savviness. This National Science Foundation Research Traineeship (NRT) award to the Arizona State University addresses this need by training the next generation of MS and PhD students for careers in Smart Cities-related fields. The project anticipates training thirty-eight (38) MS and PhD students, including twenty-four (24) funded trainees, from the following degree programs: Human and Social Dimensions of Science and Technology; Public Affairs; Computer Science; Civil, Environmental, and Sustainable Engineering; Mechanical & Aerospace Engineering; and Applied Engineering Programs. In addition to trainees, it is envisioned that over 300 other MS and PhD students in STEM disciplines will participate in opportunities made available through this traineeship. The knowledge and technologies developed from this project will contribute toward improving the quality of life for all of society through interdisciplinary, citizen-centered Smart City solutions.
An integrated education-research-practice model focused on the technological, societal, and environmental research aspects of citizen-centered solutions for Smart Cities will be employed to instill trainees with transdisciplinary skills and knowledge through cross-disciplinary courses; experience with leading collaborative, use-inspired research projects; applied learning through internships with partners and teaching opportunities; research experiences through service learning and leadership; and entrepreneurial education. Trainees will pursue research thrusts in Citizen-Centered Design; Smart City Infrastructure and Dynamics; and Socio-Environmental Practices and Policies. These thrusts are embedded in integrative priority application areas of Transportation and Accessibility; Safety, Security, and Risk Reduction; and Engagement and Education. Research efforts will significantly advance data-enabled citizen engagement; urban informatics; Internet-of-Things technologies; inclusion and accessibility; urban infrastructure; transportation systems; cybersecurity; swarm robotics; urban sustainability; quality of life and equity for citizens; hazards management and risk reduction; and societal concerns and ethics of emerging Smart City technologies. Focused efforts will be made to recruit underrepresented minorities, women, and individuals with disabilities, in order to tap underutilized talent, equip them to address the needs of their communities, and increase involvement of these groups in Smart Cities-related fields.
The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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TEAM MEMBERS:
Michael KennedyRam PendyalaCynthia SelinAnn McKennaTroy McDanielGail-Joon AhnSethuraman Panchanathan
Supported by the National Science Foundation, the Global Soundscapes! Big Data, Big Screens, Open Ears project employs a variety of informal learning experiences to present the physics of sound and the new science of soundscape ecology. The interdisciplinary science of soundscape ecology analyzes sounds over time in different ecosystems around the world. The major components of the Global Soundscapes project are an educator-led interactive giant-screen theater show, group activities, and websites. All components are designed with both sighted and visually impaired students in mind. Multimedia
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.
While the term 'failure' brings to mind negative associations, there is a current focus on failure as a driver of innovation and development in many professional fields. It is also emerging from prior research that for STEM professionals and educators, failure plays an important role in designing and making to increase learning, persistence and other noncognitive skills such as self-efficacy and independence. By investigating how youth and educators attend to moments of failure, how they interpret what this means, and how they respond, we will be better able to understand the dynamics of each part of the experience. The research team will be working with youth from urban, suburban and rural settings, students from Title I schools or who qualify for free/reduced-price lunches, those from racial and ethnic minority groups, as well as students who are learning English as a second language. These youth are from groups traditionally underrepresented in STEM and in making, and research indicates they are more likely to experience negative outcomes when they experience failure.
The intellectual merit of this project centers on establishing a baseline understanding of how failure in making is triggered and experienced by youth, what role educators play in the process, and what can be done to increase persistence and learning, rather than failure being an end-state. The research team will investigate these issues through the use of qualitative and quantitative research methods. In particular, the team will design and evaluate the effectiveness of interventions on increasing the abilities of youth and educators in noticing and responding to failures and increasing positive (e.g., resilience) outcomes. Research sites are selected because they will allow collection of data on youth from a wide range of backgrounds. The research team will also work to test and revise their hypothesized model of the influence of factors on persistence through failures in making. 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).
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
The Cyberlearning and Future Learning Technologies Program funds efforts that will help in envisioning the next generation of learning technologies and advancing what we know about how people learn in technology-rich environments. Development and Implementation (DIP) Projects build on proof-of-concept work that showed the possibilities of the proposed new type of learning technology, and project teams build and refine a minimally-viable example of their proposed innovation that allows them to understand how such technology should be designed and used in the future and answer questions about how people learn with technology. Although for years researchers have believed technology could afford anytime-anywhere learning, we still don't understand how learners behave differently across contexts, such as home, school, and in the community, and how to get youth to identify as learners across those contexts. This proposal aims to use mobile devices and strategically placed shared kiosks to 'scientize' youth in two low-income communities. Through strategic partnerships with community organizations, educators, and families, the innovation is to get primary and middle-school students engaging in scientific inquiry in the context of their neighborhoods. Research will help determine how the technology can best be deployed, but also answer important questions about how communities can provide support to help kids think like scientists and identify with science. This project will design and implement ubiquitous technology tools that include mobile social media and tangible, community displays (collectively called ScienceKit) that are deeply embedded into two urban neighborhoods, and demonstrate how such ubiquitous technologies and related cyberlearning strategies are vital to improve information flow and coordination across a neighborhood ecosystem, in order to create environments where children can connect their science learning across contexts and time (e.g. scientizing). A program called ScienceEverywhere comprised of partnerships between tightly connected neighborhood organizations with mentors, teachers, parents, and researchers will help learners develop scientifically literate practices both in and out of school, and will demonstrate students' learning to their communities. Research will consist of mixed methods studies of use of the tools, including iterative design-based research, ethnography, and the use of participant observers from the community; these will be triangulated with usage logs of the technologies and content analysis of microblogs by the learners on their identities and interests. Discourse analysis of interviews with focal learners will orient the qualitative work on identity development, and analysis using activity theory will inform the influences of the social practices and sociotechnical systems on learner trajectories. Formative evaluation will help shed light on if and how the sociotechnical system promotes STEM literacy and STEM identity development.
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. This project will develop and study a cyber-enhanced informal learning environment to improve observational practices and classification skills among citizen scientists. The project will focus on the taxonomic identification skills needed by volunteers to provide high-quality data for water quality monitoring of local streams, lakes, estuaries, wetlands, and ground water resources. To make the task of identifying freshwater insects easier and more engaging, the project will develop an innovative educational resource, the Macroinvertebrate Identification Training Environment, that will use zoomable high-resolution images, interactive media, and annotations of diagnostic features to improve perceptual skills. The goal is to increase the confidence and accuracy of volunteers engaged in identification tasks, while also increasing the reliability and quality of the data they are generating for purposes of scientific research and conservation efforts. This interdisciplinary design research and development project will use networked gigapixel image technology to create a visual environment where users can move seamlessly from full panoramic views of macroinvertebrates to extreme close-ups, with embedded text, images, graphics, audio, and video at various locations and zoom levels. This system will be developed in concert with a cognitive apprenticeship training model designed through a series of design studies. The design studies will be conducted over a two-year period and will include examination of the distinguishing features of various biomonitoring programs, reviews of existing training materials and strategies, expert performance analysis of professional entomologists, and development of user interface features. Project developers will collaborate with five regional volunteer biomonitoring organizations to engage a diverse set of volunteers in the design process, including rural populations, older adults, urban youth, and the trainers who support them. The project work will consist of four integrated strands of activity: design-based learning research, creation of an entomological teaching collection, cyberplatform development, and the external evaluation of the training system. The resulting Macroinvertebrate Identification Training Environment will be evaluated in terms of its impacts on volunteer accuracy, confidence, and engagement in taxonomic classification activities related to macroinvertebrates. The impacts of the learning system on trainers and volunteer biomonitoring organizations will also be examined.