This poster was presented at the 2021 NSF AISL Awardee Meeting.
Programming includes
Neighborhood Walks led by teams of scientists/engineers and artists
Community Workshops, Local Artist Projects, and Youth Mentorship focused on neighborhood and citywide water issues
Intergenerational participation, from seniors and adult learners to young adults, teens, and middle schoolers
Learn how to create opportunities for young people from low-income, ethnically diverse communities to learn about growing food, doing science, and how science can help them contribute to their community in positive ways. The authors developed a program that integrates hydroponics (a method of growing plants indoors without soil) into both in-school and out-of-school educational settings.
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.
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.
With the Museum's increasing interest in urban biodiversity, we have started looking at all types of wildlife in our highly modified industrial, suburban, and urban habitats. One thing that quickly struck us was that in our own backyard, Exposition Park, nobody had documented any lizards since 1988. This seemed strange, as lizards are common in other parts of Los Angeles, and it led to the question, "Why are there no lizards here?" We hope to answer this question with the LLOLA (pronouced "lola") project. LLOLA aims to do two things: 1) Confirm the presence or absence of lizards in Exposition park. (After all, nobody has looked extensively for them! 2) Find out where lizards DO occur in the Los Angeles Basin, and start to hypothesize why they can survive there.
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