Worldwide, four million people participate in geocaching--a game of discovering hidden treasures with GPS-enabled devices (including smart phones). Geocachers span all ages and tend to be interested in technology and the outdoors. To share information about the Montana Climate Assessment (MCA), an NSF-funded scientific report, Montana State University created a custom trackable geocaching coin featuring the MCA Website and logo. We then recruited volunteers to hide one coin in each of Montana’s 56 counties. Volunteer geocachers enthusiastically adopted all 56 counties, wrote blogs and social media posts about the coins, and engaged local Scout troops and schools. Other geocachers then found and circulated the coins while learning about Montana’s climate. One coin has traveled nearly 4,000 miles; several have visited other states and Canada. 95% of the volunteers said the project made them feel more connected to university research, and they told an average of seven other people about the project. Nearly all of the participants were unfamiliar with the Montana Climate Assessment prior to participating. The geocaching educational outreach project included several partnerships, including with Geocaching Headquarters in Seattle (a.k.a. “Groundspeak”); Cache Advance, Inc., an environmentally friendly outdoor gear company; and Gallatin Valley Geocachers. An advisory board of geocachers helped launch the project.
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TEAM MEMBERS:
Suzi TaylorRay CallawayM.J. NehasilCathy Whitlock
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 evaluation reports on the Mission: Solar System project, a 2-year project funded by NASA. The goal of the Mission: Solar System was to create a collection of resources that integrates digital media with hands-on science and engineering activities to support kids’ exploration in formal and informal education settings. Our goal in creating the resources were: For youth: (1) Provide opportunities to use science, technology, engineering, and math to solve challenges related to exploring our solar system, (2) Build and hone critical thinking, problem-solving, and design process skills, (3)
This report summarizes findings from a three-year study of the Time Team America: Science of Archeology project, funded by the National Science Foundation. The project included a series of archaeology field schools for youth, four broadcast episodes and a redesigned website with a variety of information and instructional resources. The evaluation included both formative and summative components and a mix of qualitative and quantitative methods including surveys, interviews, and focus groups. Includes interview protocol and survey.
This is the summative evaluation of Statistics for Action (SfA). The mixed-methods evaluation included both process (project implementation) and impact (project effectiveness) assessments. It was posited a cascade-like impact of SfA, in which new materials would be developed by TERC staff; a host of environmental organizations would be trained to utilize them with grass roots community groups; and these groups would then incorporate SfA into their ongoing environmental campaigns. Ultimately, it was theorized, the public messaging around environmental issues would be strengthened by SfA’s
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TEAM MEMBERS:
Arbor Consulting PartnersMargaret ConnorsMindy FriedMadeleine Taylor
This documentary film series and community story project aims to raise awareness of the critical role of trees for all life on Earth and to spark interest in getting involved with trees at the local level. Trees are threatened by climate disruption and deforestation, and yet at the same time are essential to efforts to mitigate and adapt to climate change. Many citizen groups are involved with planting and care of trees. Collaboration with these groups at the national and community level offers a practical, action-oriented opportunity to mobilize networks of citizens already interested in and identified with trees in the effort to raise broader awareness of the subject. Project deliverables include a 3-part PBS documentary series, a multimedia story project in collaboration with several of these citizen groups; a website and social media; and informational materials to support broadcast meteorologists in reporting about tree science in the context of current weather/changing climate. The project is projected to reach at least 15 million Americans during the grant period and many more during the 10-year project lifespan of the films. Principal public audiences include PBS viewers and citizen foresters. The professional audience is broadcast meteorologists. Partners include the U.S. Forest Service, National Environmental Education Foundation, and Alliance for Community Trees. This is a new model of local/national collaborative storytelling and community engagement designed to increase knowledge, awareness, and interest in tree biology and forest ecology.
In 2009, The HistoryMakers was awarded a four-year grant from The National Science Foundation (DRL-0917612) to create ScienceMakers: African Americans and Scientific Innovation (ScienceMakers). ScienceMakers builds upon The HistoryMakers’ extant oral history archives by allowing for new interviews with 180 of the nation’s top African American scientists and facilitating dissemination of the information. The overall goal of this endeavor is to increase awareness in the general public of the contributions of African American scientists (i.e., short-term outcomes), thereby ultimately leading to
Goodman Research Group, Inc. (GRG) conducted a summative evaluation of the second season of NOVA scienceNOW, the PBS series that explores cutting-edge scientific and technological innovation in real time. (GRG also served as the external evaluator for NOVA scienceNOW during Season One). In addition to the television series, WGBH-TV developed a companion website, a series of high school classroom activities, and a Science Cafe outreach initiative, designed to discuss, in non-academic environments, the latest developments in science. The Season Two evaluation included: 1) a viewer study
Goodman Research Group, Inc. (GRG) conducted a summative evaluation of the first season of NOVA scienceNOW, the PBS series that explores cutting-edge scientific and technological innovation in real time. The evaluation included two primary components: 1) an evaluation of the television series, and 2) an evaluation of the outreach, which consisted of a companion website and a series of Science Cafes hosted around the country. GRG's evaluation was designed to assess the project's effectiveness in meeting its overall goal of engaging a variety of audiences more deeply with scientific research in
The Sharing the Universe (STU) project was funded by NSF in 2007 to develop and make available resources and supports to deepen and broaden the education and public outreach (EPO) of amateur astronomy clubs who are members of the Night Sky Network. To achieve this goal, the project funded a development group: the Astronomical Society of the Pacific, and a research group: Institute for Learning Innovation. These two groups were to work as partners, both to study the barriers and challenges that existed for amateur astronomy clubs to educational outreach, and to apply what was learned from those
WGBH has produced NOVA scienceNOW (NsN) since 2005, with major funding from the National Science Foundation, the Howard Hughes Medical Institute, and the Alfred. P. Sloan Foundation. Along with the associated web site and outreach initiative, all NsN resources share the overarching goals of: (a) increasing the public's use of multimedia resources to learn about current science research, (b) increasing public awareness and understanding of cutting edge science content and its relevance to their lives, and (b) increasing public engagement in science-related activities. Goodman Research Group