This project aims to (1) advance understanding of sociotechnical ecosystems involving AI to support diasporic urban farming; (2) collaboratively develop AI-based technologies that better integrates and sustains technological gains with diasporic knowledge, and (3) systematically assess the impact of AI-based farming technologies on diasporic communities and industrial partners.
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.
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
Young adulthood, typically defined as between the ages of 18 and 25, is a critical period of growth during which young people acquire the education and training that serve as the basis for their later occupations and income (Arnett, 2000). The successful transition from adolescence to early adulthood requires youth to have the skills and resources to graduate high school and then go to college or enter the workforce (Fuligni & Hardway, 2004; Lippman, Atienza, Rivers, & Keith, 2008). To accomplish these tasks in advanced urban societies, young adults need a wide range of social, cognitive
The Museum of the City of New York (MCNY) contracted Randi Korn & Associates, Inc. (RK&A) to conduct a formative evaluation of proposed exhibits for “The Future of the City Lab,” an interactive gallery to be featured in the New York At Its Core exhibition that invites visitors to think about and help design the future of New York City.
How did we approach this study?
The goal of the study was to explore visitors’ opinions and understandings of five specific exhibits—the Introduction Text, the Big Challenges Wall, a Neighborhood Exploration, the “Density” iPad Activity, and the Selfie
Families and school-aged constituents at 30 urban, inner-city neighborhood community-based organizations and teachers and students in earth science classes in 40 middle schools. Intent: This project will prepare neighborhood and community leaders in Philadelphia to use simple but effective observation tools and NASA’s educational web content to help their inner-city Philadelphia neighbors learn about space science and technology – and about their city and themselves – by knowledgably exploring the sky. Project Goals: 1. Create multiple opportunities for inner-city children, adults and families to observe and learn about the solar system through neighborhood and city-wide events. 2. Equip CBO’s with the knowledge, skills and materials they need to make space science-related events and activities a sustained part of programming for their constituents. 3. Stimulate interest and engagement in NASA’s missions and resources among residents of traditionally underserved, inner-city neighborhoods through astronomy experiences and NASA’s websites. 4. Create and strengthen collaborative ties between The Franklin Institute, CBO’s, city residents, and local amateur astronomers. Programs/Products produced: 1. Repeatable ‘Galileoscope’ workshops and activities in 30 CBO’s 2. Solar observing activities for 30 CBO’s and 40 middle schools. 3. School assembly-type audience interactive program about observational astronomy for use in schools and community organizations. 4. Recurring neighborhood star parties facilitated through on-going partnerships with local amateur astronomy clubs. 5. Participation in city-wide star party as part of the annual Philadelphia Science Festival.
Liberty Science Center (LSC) received National Science Foundation (NSF) funding to develop, install and evaluate a 12,800-square foot, two-story permanent exhibition about skyscrapers. Skyscraper! is meant to showcase the architectural design and engineering, physics, and urban-related environmental science of skyscrapers. The Institute for Learning Innovation (ILI), a Maryland-based research and evaluation organization that focuses on lifelong learning in informal or free-choice settings, was contracted to conduct the summative exhibition evaluation. The purpose of the summative evaluation
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TEAM MEMBERS:
Kerry BronnenkantLiberty Science CenterClaudia Figueiredo
The PBS NewsHour STEM Learning project is a broadcast and online science journalism and informal science education initiative to report breaking science news and cutting-edge STEM (Science, Technology, Engineering and Mathematics) research and researchers to a national audience. The multi-platform project goals are to: (1) increase and improve the knowledge of the audience with respect to science and technology; (2) stimulate the active engagement of the audience with science and technology through interactive tools; and (3)position the PBS NewsHour as a regular destination for in-depth and innovative science reporting; (4) deploy new and creative digital tools to extend the impact of NewsHour science reporting, especially for youth. The PBS NewsHour is produced by MacNeil/Lehrer Productions and distributed by PBS to PBS television and radio stations across the country, five nights per week. This project is informed by an expert advisory board and other consultants. Project evaluation will be conducted by City Square Associates. The formative evaluation in year one will employ focus groups of adults from the general audience and teens as well as a quantitative survey online to determine a benchmark of current science knowledge, attitudes and behaviors. The evaluation in year two will test digital components of the project in a usability lab setting to gather information to help improve the quality and effectiveness of these deliverables. The summative evaluation will administer a tracking study with the same population surveyed in the first year. Deliverables include: a minimum of 26 science documentary reports broadcast per year plus additional in-studio interviews and coverage of breaking science news; a revamped website, notably "Science and Tech To Go"; a weekly STEM interview or report online featuring Hari Sreenivasan or other reporters; additional weekly digital STEM reporting; and an expanded and redesigned outreach program for teens and educators including an innovative, cloud-based student editing and content-sharing initiative in collaboration with several science centers. Six new PBS NewsHour Student Reporting Labs, established in high-need urban schools, will shoot, edit, and post their videos on the web. The PBS NewsHour science reports will be broadcast and featured on the NewsHour iPhone app, as well as disseminated on the NewsHour's YouTube Channel, Disqus and UStream, Hulu.com, with new science material updated daily on the web. The NewsHour is seen by more than 7 million viewers each week, with additional audiences being reached by radio, the Online NewsHour website, podcasts, and other social media. New community-based programs expand the audience farther. The final summative report will outline the impact of the project and identify the strategies and tactic found to be most effective in making use of digital media to support project goals.