An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
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TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood
The Hands On Children's Museum will build on two of its most distinctive features-an Outdoor Discovery Center and a Young Makers program-to create a Nature Makers program. The interdisciplinary project will link nature-based learning with maker activities that use natural materials. Partnerships with Native American tribes, scientists, maker groups, and others will enrich the staff-led offerings. Nature Makers addresses two of the most significant needs in early learning-inspiring early STEM education and connecting children with the outdoors. Nature Makers will increase children's exposure to outdoor tinkering to build the foundation for STEM success in school; educate parents, caregivers, and teachers about the important role outdoor exploration plays in STEM achievement; and stimulate children's curiosity about the natural world and increase the time they spend outside. Evaluation findings will be shared internally to inform continuous improvement of program offerings, and externally to serve as a model for outdoor making activities.
Through Project BUILD, a STAR Library Network (STAR Net) program funded by the National Science Foundation, the American Society of Civil Engineers (ASCE) and the Space Science Institute’s National Center for Interactive Learning (NCIL) offered the virtual Dream, Build, Create program which consisted of (1) the award-winning documentary Dream Big: Engineering Our World and (2) five live-streamed panels of diverse engineers (Dream Teams) who shared their stories of what it means to be an engineer.
The external evaluation, conducted by Education Development Center (EDC), aimed to examine how
In April 2018, FHI 360, under the leadership of Maryann Stimmer and Merle Froschl, convened a meeting of thought leaders in Washington, D.C. to capture a “snapshot” of STEM education. They subsequently conducted additional interviews with more than 50 local and national policy leaders; public and private funders; researchers; PreK-12 and post-secondary educators; parents, and leaders of afterschool programs, science centers and youth-serving organizations. The purpose of this summary report is to identify current trends and gaps to inform research, policy, and practice in order to reinforce
Organizations, institutions, or initiatives often do not engage these influential adults as effectively as they might, nor are they always sensitive to the perspectives, needs, and expertise that caregivers bring to the activities in which their children participate. STEM educators and science communicators can better support youth when they effectively engage parents in relevant aspects of the work by considering whether parents are part of the intended audience and if so, how they can participate.
About this resource:
This is a practice brief produced by CAISE's Broadening
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TEAM MEMBERS:
Dale McCreedyMicaela BalzerBhaskar UpadhyayCenter for Advancement of Informal Science Education (CAISE)
Please join us in celebrating Citizen Science Day, which falls this year on Saturday, April 14th. This issue of Connected Science Learning is dedicated to highlighting effective citizen science programs that involve classroom students in collecting data for research scientists, while also engaging them in key STEM (science, technology, engineering, and math) content and practices. Students get a “front row seat” to what scientists do and how scientists work, plus develop the reasoning skills and practices used by scientists.
With support from the National Science Foundation (NSF), SciStarter 2.0 was launched to enhance, diversify, and validate participant engagement in scientific research in need of the public’s help. SciStarter’s leadership is part of the National Academy of Sciences’ Committee, Designing Citizen Science to Support Science Learning, which is developing guidelines and a research agenda for citizen science in education. This article briefly introduces educators to SciStarter 2.0.
Be a 4-H Scientist! Materials in a Green, Clean World is an inquiry-based science curriculum focusing on concepts of materials; plastics; reuse, recycle, and reduce; and the work of scientists and engineers. It is designed to build foundational skills of science and engineering: observation, asking questions, sorting and classifying, and communicating. The curriculum contains six learning modules intended for delivery in out-of-school time facilitated by an educator (trained volunteers or program staff). Most modules also include a “Science At Home” activity which parents/other adults and children can do at home.
As part of the development work of Latina SciGirls, the independent evaluation firm Knight Williams Inc. conducted a front-end evaluation focused on gathering input from the project’s primary public audiences (Latina girls and their parents/guardians) and professional audiences (the project’s advisers and partners).
Appendix includes logic model.
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.