This project will research and develop the Circuit, a mobile phone and web-based application that will empower families and the general public to discover the broad spectrum of informal Science, Technology, Engineering and Mathematics (STEM) opportunities that exist in most communities. These informal STEM resources include science and children's museums, science and computer camps, maker spaces, afterschool programs, citizen science and much more. There is currently no "one-stop" searching for these resources. Instead, participants must conduct multiple, inefficient Internet searches to find the sought for STEM resources. The Circuit will enable users to efficiently search a rich informal STEM database, identifying resources by location, geography, age levels, science discipline, type of program and other factors. The Circuit builds on SciStarter, an existing online platform that connects thousands of prospective and active citizen scientists to citizen science projects. SciStarter has made possible the collection and organization of several thousand citizen science projects that would otherwise be scattered across the web. The Circuit will build on SciStarter's technical achievements in the citizen science sector, while systematically encompassing the offerings of established national networks. By integrating existing networks of informal STEM resources, the app will afford the public with unrivaled access to informal STEM opportunities, while collecting data that reveals patterns of engagement towards understanding factors of influence between different types of STEM experiences.
The app will provide researchers with new opportunities for researching how families and adults participate in the ecosystem of informal STEM resources in their communities. The Circuit will develop web tools to aggregate and organize digital content from trusted, currently siloed, informal STEM networks of content providers. These include science festivals, science and children's museums, the American Association for the Advancement of Science (AAAS), and Discover Magazine (3 million readers), the largest general interest science publication. Each content partner will feed the app with information directly or through their membership and encourage adoption of The Circuit within their respective communities. The project will design digital tools, including APIs (application program interfaces) to acquire and share digital content, embeddable tools to record and analyze data about movement, engagement, and persistence across domains, and social media tools and related APIs to distribute, track, and analyze content, engagement and demographics. (An API is a code that allows two software programs to communicate with each other.) The project will conduct small-scale, proof-of-conduct studies, to test the viability of the platform to support future, independent full-scale research. An analytics dashboard will be designed and tested with partners, researchers, and evaluators to ensure access to data on patterns of visits, clicks, referrals, searches, "joins," bookmarks, shares, contributions, user-locations, persistence, and more, within and across domains. Because each partner will feed their analytics into the shared dashboard, this will provide unprecedented and much-needed data to advance research in informal STEM learning. The Circuit will allow the tracking of patterns of engagement across networks and programs. Anonymized analytics of behavioral data from end users of The Circuit will support new approaches to advance evidence-based understanding of connected informal STEM learning by exhibiting engagement patterns across informal STEM domains. Through volunteer participation by the public, the Circuit will explore the geographic and demographic patterns of participants in the system, and derive important design lessons for its own and future efforts to create curated systems of connected learning across STEM education in informal settings.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
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
The Crowd & The Cloud, a three-year project, developed by Passport To Knowledge and funded by the National Science Foundation, uses multimedia to engage different audiences around citizen science and crowdsourcing. The project team created four episodes of a broadcast television series, which appeared on PBS stations and via PBS.org, an interactive website, and a robust social media presence in an attempt to reach three target audiences: the general public, scientists, and citizen scientists. Rockman et al (REA), an independent educational research and evaluation firm, conducted an external
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
Charles Darwin is largely unknown and poorly understood as a historical figure. Similarly, the fundamental principles of evolution are often miss-stated, misunderstood, or entirely rejected by large numbers of Americans. Simply trying to communicate more facts about Darwin, or facts supporting the principles of evolution is inadequate; neither students nor members of the public will care or retain the information. On the contrary, building facts into a one-on-one conversational narrative creates an memorable opportunity to learn. Here, we create a digital-media, self-guided question and answer
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TEAM MEMBERS:
David J. LampeBrinley KantorskiJohn Pollock
In March of 2016, the Exploratorium transmitted a live webcast of a total solar eclipse from Woleai, a remote island in the southwestern Pacific. The webcast reached over 1 million viewers. Evaluation reveals effective use of digital media to engage learners in solar science and related STEM content.
Edu, Inc. conducted an external evaluation study that shows clear and consistent evidence of broad distribution of STEM content through multiple online channels, social media, pre-produced videos, and an app for mobile devices. IBM Watson did a deep analysis of tweets on eclipse topics that
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.
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 Research in Service to Practice project, a collaboration of Pepperdine University and the New York Hall of Science, will establish a network of STEM-related Media Making Clubs comprised of after-school students aged 12 - 19 and teachers in the U.S. and in three other countries: Kenya, Namibia and Finland. The media produced by the students may include a range of formats such as videos, short subject films, games, computer programs and specialized applications like interactive books. The content of the media produced by the students will focus on the illustration and teaching of STEM topics, where the shared media is intended to help other students become enthused about and learn the science. This proposal builds on the principal investigator's previous work on localized media clubs by now creating an international network in which after-school students and teachers will collaborate at a distance with other clubs. The central research questions for the project pertain to three themes at the intersection of learning, culture and collaboration: the impact of participatory teaching, virtual networks, and intercultural, global competence. The research will combine qualitative, cross-cultural and big data methods. Critical to the innovation of the project, the research team will also develop a network assessment tool, adapting epistemic network analysis methods to the needs of this initiative. This work is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
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TEAM MEMBERS:
Eric HamiltonKatherine McMillanPriya Mohabir