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resource research Media and Technology
This "mini-poster," a two-page slideshow presenting an overview of the project, was presented at the 2023 AISL Awardee Meeting.
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resource research Media and Technology
Cities need to know how their cultural institutions related to each other; yet these institutions themselves struggle to understand what their niche can and should be in a city (Kloosterman, 2014). However the public often implicitly ‘knows’ the role of a particular cultural institution within an urban ecology; increasingly this knowledge is made manifest on a variety of digital apps and social media platforms (Budge, 2020; Moreno-Mendoza et al., 2020). Cultural institutions can learn from visitors and other institutions by utilizing digital apps to view area content offerings and attendance
resource evaluation Media and Technology
This summary report gives an overview of the Bringing Science Home with PEEP project research and key findings.
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TEAM MEMBERS: Megan Silander Michelle Cerrone Leslie Cuellar Lindsey Hiebert Jennifer Stiles
resource project Media and Technology
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.
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resource evaluation Media and Technology
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
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TEAM MEMBERS: Mary Haggerty Heather Lavigne Jessica Andrews
resource research Media and Technology
Digital Observation Technology Skills (DOTS) is a framework for integrating modern, mobile technology into outdoor, experiential science education. DOTS addresses longstanding tensions between modern technology and classical outdoor education by carefully selecting appropriate digital technology for educational purposes and by situating these tools in classical experiential pedagogy.
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TEAM MEMBERS: R. Justin Hougham Marc Nutter Caitlin Graham
resource research Media and Technology
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
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TEAM MEMBERS: Cary Funk Amy Mitchell Tom Caiazza
resource project Media and Technology
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.
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TEAM MEMBERS: Nichole Pinkard
resource project Media and Technology
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.
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TEAM MEMBERS: Bill Penuel Tamara Sumner Nichole Pinkard
resource project Media and Technology
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 Hamilton Katherine McMillan Priya Mohabir
resource research Media and Technology
Public opinions toward emergent technologies may be highly dependent on the manner in which people are introduced to these technologies for the very first time. In this light, understanding how such first introductions are related to adolescents’ information seeking behaviors and their developing opinions may be particularly interesting because this target public can be considered to be not only future users of the technology but also future decision makers of its development. The present paper presents a case study of the introduction of ecogenomics among 246 adolescents who were asked to
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TEAM MEMBERS: Mark Bos Roy Kloet Cees Koolstra Jaap Willems
resource evaluation Media and Technology
Under a subcontract with Randi Korn & Associates, who conducted a study of the on‐site museum exhibit, RMC was engaged to conduct an evaluation of the Places of Invention online map site for the Jerome and Dorothy Lemelson Center for the Study of Invention and Innovation. The Places of Invention online map, part of the 3,500 square foot on‐site exhibit, was developed as a platform for collecting invention stories related to specific places or landscapes submitted by Smithsonian staff, Smithsonian Affiliations, and visitors to the online map. RMC investigated three key topics related to
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TEAM MEMBERS: Elizabeth Goldman Kim Streitburger