In this paper we investigate how people become engaged with open data, what their motivations are, and the barriers and facilitators program participants perceive with regard to using open data effectively.
DATE:
TEAM MEMBERS:
Jack ShanleyCamillia MatukOded NovGraham Dove
PocketMacro is a mobile app designed by the Learning Media Design Center at Carnegie Mellon University in collaboration with Stroud Water Research Center, Carnegie Museum of Natural History and Clemson University, and stakeholder input. The PocketMacro app aims to help users better identify benthic macroinvertebrates commonly found in streams and other waterways. Rockman et al Cooperative (REA), an independent educational evaluation group, designed a summative study to explore the effectiveness of the app in supporting users’ aquatic macroinvertebrate identification. The purpose of the
Supported by the National Science Foundation, the Global Soundscapes! Big Data, Big Screens, Open Ears project employs a variety of informal learning experiences to present the physics of sound and the new science of soundscape ecology. The interdisciplinary science of soundscape ecology analyzes sounds over time in different ecosystems around the world. The major components of the Global Soundscapes project are an educator-led interactive giant-screen theater show, group activities, and websites. All components are designed with both sighted and visually impaired students in mind. Multimedia
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.
The Cyberlearning and Future Learning Technologies Program funds efforts that will help in envisioning the next generation of learning technologies and advancing what we know about how people learn in technology-rich environments. Development and Implementation (DIP) Projects build on proof-of-concept work that showed the possibilities of the proposed new type of learning technology, and project teams build and refine a minimally-viable example of their proposed innovation that allows them to understand how such technology should be designed and used in the future and answer questions about how people learn with technology. Although for years researchers have believed technology could afford anytime-anywhere learning, we still don't understand how learners behave differently across contexts, such as home, school, and in the community, and how to get youth to identify as learners across those contexts. This proposal aims to use mobile devices and strategically placed shared kiosks to 'scientize' youth in two low-income communities. Through strategic partnerships with community organizations, educators, and families, the innovation is to get primary and middle-school students engaging in scientific inquiry in the context of their neighborhoods. Research will help determine how the technology can best be deployed, but also answer important questions about how communities can provide support to help kids think like scientists and identify with science. This project will design and implement ubiquitous technology tools that include mobile social media and tangible, community displays (collectively called ScienceKit) that are deeply embedded into two urban neighborhoods, and demonstrate how such ubiquitous technologies and related cyberlearning strategies are vital to improve information flow and coordination across a neighborhood ecosystem, in order to create environments where children can connect their science learning across contexts and time (e.g. scientizing). A program called ScienceEverywhere comprised of partnerships between tightly connected neighborhood organizations with mentors, teachers, parents, and researchers will help learners develop scientifically literate practices both in and out of school, and will demonstrate students' learning to their communities. Research will consist of mixed methods studies of use of the tools, including iterative design-based research, ethnography, and the use of participant observers from the community; these will be triangulated with usage logs of the technologies and content analysis of microblogs by the learners on their identities and interests. Discourse analysis of interviews with focal learners will orient the qualitative work on identity development, and analysis using activity theory will inform the influences of the social practices and sociotechnical systems on learner trajectories. Formative evaluation will help shed light on if and how the sociotechnical system promotes STEM literacy and STEM identity development.
A youth media program called Youthscapes not only helps participants combat negative stereotypes of urban teens, but also gives them a sense of group solidarity that enables them to function as responsible media producers when they venture out into the community.
The Global Soundscapes! Big Data, Big Screens, Open Ears Project uses the new science of soundscape ecology to design a variety of informal science learning experiences that engage participants through acoustic discovery Soundscape ecology is an interdisciplinary science that studies how humans relate to place through sound and how humans influence the environment through the alteration of natural sound composition. The project includes: (1) an interface to the NSF-funded Global Sustainable Soundscapes Network, which includes 12 universities around the world; (2) sound-based learning experiences targeting middle-school students (grades 5-8), visually impaired and urban students, and the general public; and (3) professional development for informal science educators. Project educational components include: the first interactive, sound-based digital theater experience; hands-on Your Ecosystem Listening Labs (YELLS), a 1-2 day program for school classes and out-of school groups; a soundscape database that will assist researchers in developing a soundscape Big Database; and iListen, a virtual online portal for learning and discovery about soundscape. The project team includes Purdue-based researchers involved in soundscape and other ecological research; Foxfire Interactive, an award-winning educational media company; science museum partners with digital theaters; the National Audubon Society and its national network of field stations; the Perkins School for the Blind; and Multimedia Research (as the external evaluator).
The authors present an exploratory study of Black middle school boys who play digital games. The study was conducted through observations and interviews with Black American middle school boys about digital games as an informal learning experience. The first goal of the study is to understand the cultural context that Black students from economically disadvantaged inner-city neighborhoods bring to playing digital games. The second goal of the study is to examine how this cultural context affects the learning opportunities with games. Third, the authors examine how differences in game play are
DATE:
TEAM MEMBERS:
Betsy James DiSalvoKevin CrowleyRoy Norwood
In 2008, the WGBH Educational Foundation, along with the Association of Computing Machinery, was awarded a grant from the National Science Foundation, Directorate for Computer and Information Science and Engineering, under the Broadening Participation in Computing Program (NSF 0753686). The purpose of the grant was to develop a major new initiative to reshape the image of computing among college-bound high school students. Based on its market research results, WGBH developed a website and other resources that were intended for use by teachers, parents and students. Concord Evaluation Group
The PBS NewsHour STEM Learning project is a broadcast and online science journalism and informal science education initiative to report breaking science news and cutting-edge STEM (Science, Technology, Engineering and Mathematics) research and researchers to a national audience. The multi-platform project goals are to: (1) increase and improve the knowledge of the audience with respect to science and technology; (2) stimulate the active engagement of the audience with science and technology through interactive tools; and (3)position the PBS NewsHour as a regular destination for in-depth and innovative science reporting; (4) deploy new and creative digital tools to extend the impact of NewsHour science reporting, especially for youth. The PBS NewsHour is produced by MacNeil/Lehrer Productions and distributed by PBS to PBS television and radio stations across the country, five nights per week. This project is informed by an expert advisory board and other consultants. Project evaluation will be conducted by City Square Associates. The formative evaluation in year one will employ focus groups of adults from the general audience and teens as well as a quantitative survey online to determine a benchmark of current science knowledge, attitudes and behaviors. The evaluation in year two will test digital components of the project in a usability lab setting to gather information to help improve the quality and effectiveness of these deliverables. The summative evaluation will administer a tracking study with the same population surveyed in the first year. Deliverables include: a minimum of 26 science documentary reports broadcast per year plus additional in-studio interviews and coverage of breaking science news; a revamped website, notably "Science and Tech To Go"; a weekly STEM interview or report online featuring Hari Sreenivasan or other reporters; additional weekly digital STEM reporting; and an expanded and redesigned outreach program for teens and educators including an innovative, cloud-based student editing and content-sharing initiative in collaboration with several science centers. Six new PBS NewsHour Student Reporting Labs, established in high-need urban schools, will shoot, edit, and post their videos on the web. The PBS NewsHour science reports will be broadcast and featured on the NewsHour iPhone app, as well as disseminated on the NewsHour's YouTube Channel, Disqus and UStream, Hulu.com, with new science material updated daily on the web. The NewsHour is seen by more than 7 million viewers each week, with additional audiences being reached by radio, the Online NewsHour website, podcasts, and other social media. New community-based programs expand the audience farther. The final summative report will outline the impact of the project and identify the strategies and tactic found to be most effective in making use of digital media to support project goals.
As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative resources for use in a variety of settings. This project will develop and study a cyber-enhanced informal learning environment to improve observational practices and classification skills among citizen scientists. The project will focus on the taxonomic identification skills needed by volunteers to provide high-quality data for water quality monitoring of local streams, lakes, estuaries, wetlands, and ground water resources. To make the task of identifying freshwater insects easier and more engaging, the project will develop an innovative educational resource, the Macroinvertebrate Identification Training Environment, that will use zoomable high-resolution images, interactive media, and annotations of diagnostic features to improve perceptual skills. The goal is to increase the confidence and accuracy of volunteers engaged in identification tasks, while also increasing the reliability and quality of the data they are generating for purposes of scientific research and conservation efforts. This interdisciplinary design research and development project will use networked gigapixel image technology to create a visual environment where users can move seamlessly from full panoramic views of macroinvertebrates to extreme close-ups, with embedded text, images, graphics, audio, and video at various locations and zoom levels. This system will be developed in concert with a cognitive apprenticeship training model designed through a series of design studies. The design studies will be conducted over a two-year period and will include examination of the distinguishing features of various biomonitoring programs, reviews of existing training materials and strategies, expert performance analysis of professional entomologists, and development of user interface features. Project developers will collaborate with five regional volunteer biomonitoring organizations to engage a diverse set of volunteers in the design process, including rural populations, older adults, urban youth, and the trainers who support them. The project work will consist of four integrated strands of activity: design-based learning research, creation of an entomological teaching collection, cyberplatform development, and the external evaluation of the training system. The resulting Macroinvertebrate Identification Training Environment will be evaluated in terms of its impacts on volunteer accuracy, confidence, and engagement in taxonomic classification activities related to macroinvertebrates. The impacts of the learning system on trainers and volunteer biomonitoring organizations will also be examined.