Ruff Family Science is an exploratory project funded by the National Science Foundation (NSF) that aims to foster joint media engagement and hands-on science exploration among diverse, low-income parents and their 4- to 8-year-old children. Building on the success of the PBS series FETCH! with Ruff Ruffman, the project leverages FETCH’s funny and charismatic animated host, along with its proven approach to teaching science, to inspire educationally disadvantaged families to explore science together. More specifically, the project is undertaking a research and design process to create prototype
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 study explored how different presentations of an object in deep space affect understanding, engagement, and aesthetic appreciation. A total of n = 2,502 respondents to an online survey were randomly assigned to one of 11 versions of Cassiopeia A, comprising 6 images and 5 videos ranging from 3s to approximately 1min. Participants responded to intial items regarding what the image looked like, the aesthetic appeal of the image, perceptions of understanding, and how much the participant wanted to learn more. After the image was identified, participants indicated the extent to which the
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TEAM MEMBERS:
Lisa SmithKimberly ArcandRandall SmithJay BookbinderJeffrey Smith
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The goal of this project is to make 21st century quantum science comprehensible and engaging to non-expert informal adult learners. This project has strong potential to add new knowledge about the public's perception and understanding of quantum physics. This scientific content is often difficult for informal audiences to grasp, and there are relatively few accessible learning resources for a non- professional audience. The development of this online, interactive resource with short animations, graphics, and simulations has strong potential to fill this gap. It will develop a visually driven online resource to engage non-expert audiences in understanding the basics of quantum physics. The web design will be modular, incorporating many multimedia elements and the structure will be flexible allowing for future expansion. All content would be freely available for educational use. There is potential for extensive reach and use of the resources by informal adult learners online as well as learners in museums, science centers, and schools. Project partners are the Joint Quantum Institute at the University of Maryland and the National Institute of Standards and Technology, College Park. An independent evaluation of the project will add new knowledge about informal learners' perceptions and/or knowledge about quantum science and technology. An initial needs assessment via focus groups with the general public will be designed to find out more about what they already know about quantum physics topics and terminology, as well as what they want to know and what formats they prefer (games, simulations, podcasts, etc.). In person user testing will be used with early versions of the project online resource using a structured think-aloud protocol. Later in year 1 and 2, online focus groups with the general public will be conducted to learn what they find engaging and what they learned from the content. Iterative feedback from participants during the formative stage will guide the development of the content and format of the online resources. The Summative Evaluation will gather data using a retrospective post-survey embedded with a pop-up link on the Atlas followed by interviews with a subset of online users. Google Analytics will be used to determine the breadth and depth of their online navigation, what resources they download, and what websites they visit afterward. A post-only survey of undergraduate and graduate students who participated in resource development will focus on changes in students' confidence around their science communication skills and level of quantum physics understanding.
A majority of Americans rely on general outlets for science news but more say specialty sources get the facts right about science. This report presents findings from a survey conducted among a nationally representative sample of 4000+ adults from May 30-June 12, 2017. The survey asked about a range of issues from how the public encounters science news and assesses what and who to trust to other ways that people engage with science information in everyday life, including participation in citizen science research projects, hobbies, and consumption of entertainment programming built around
Beginning in September 2015, with funding from the National Science Foundation (NSF), Twin Cities Public Television (TPT) initiated the three-year project Latina SciGirls: Promoting Middle School-Age Hispanic Girls' Positive STEM Identity Development. The cornerstone of the project is a fourth season of the Emmy Award-winning television and transmedia project SciGirls, to premiere in 2017, in this case involving six half-hour SciGirls episodes filmed in Spanish showing groups of Hispanic girls and their Hispanic STEM mentors investigating science and engineering problems. The television
Ideas from social justice can help us understand how equity issues are woven through out-of-school science learning practices. In this paper, I outline how social justice theories, in combination with the concepts of infrastructure access, literacies and community acceptance, can be used to think about equity in out-of-school science learning. I apply these ideas to out-of-school science learning via television, science clubs and maker spaces, looking at research as well as illustrative examples to see how equity challenges are being addressed in practice. I argue that out-of-school science
From 2013-2016, Pacific Science Center, implemented the Exploring Earth Systems Sciences (EESS) project with the purpose of developing and delivering scripted demonstrations utilizing the Science On a Sphere (SOS) technology in order to promote understanding of and increase interest in Earth systems sciences. Specifically, the grant allowed the Science Interpretation team to research and write 20-minute presentations, targeted towards visitors aged 11 and older, about nine unique topics such as: climate change, weather, seasons, or the Polar Regions. Staff were then provided training in
As part of the National Science Foundation (NSF) funding for the In Defense of Food project directed by Kikim Media, the independent evaluation firm Knight Williams Inc.1 conducted a summative evaluation of the project’s key deliverables, which included: a PBS television broadcast program, an outreach effort, and an educational curriculum. This report (Study 2 of 3) focuses on the outreach effort.
As part of the National Science Foundation (NSF) funding for the In Defense of Food project directed by Kikim Media, the independent evaluation firm Knight Williams Inc. conducted a summative evaluation of the project’s key deliverables, which included: a PBS television broadcast program, an outreach effort, and an educational curriculum. This report (Study 1 of 3) considers the film’s overall appeal, clarity, learning value, and motivational impact among viewers matching the film’s target audience, and focuses on the following six questions:
1) Did viewers find the film appealing, engaging
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.