The goal of this project is to promote informal STEM education in polar research through a novel interactive learning display that uses virtual and augmented reality technology. A new display system will be developed that combines the successful techniques of touch-enabled tabletop displays with new low-cost, head-mounted display technology to deliver an immersive 3D learning experience for the IceCube Neutrino Detection system located at the South Pole. The system will provide new means for engaging the public in learning about the IceCube Neutrino Dectection system and the challenges of Antarctic research.
The proposal relies on collaboration between three groups on the University of Wisconsin- Madison campus, including the Living Environments Laboratory (LEL), the Wisconsin IceCube Particle Astrophysics Center (WIPAC), and the Games Learning Society (GLS). Once developed, the display system will be installed at the Wisconsin Institutes for Discovery Town Center, a public space that attracts close to 50,000 people per year. This proposal was submitted as an Exploratory Pathways proposal, meaning that it represents a chance to establish the basis for future research, design, and development of innovations or approaches. Outcomes from this project will inform the PIs of how best to extend the system to add more 3D environments for other research locations in Antarctica. The system will be implemented in an extensible fashion so that a user can select from one of several Antarctic research station locations, not just IceCube, from the main menu of the system and suddenly be immersed in a 3D world that seeks to teach users about polar research at that location. Contents of the interactive learning display will be translated into Spanish, and users will be able to choose which language they want to use. Evaluations of the system will also inform designers about how these museum-type systems impact learning outcomes for the general public.
This project was submitted to the Advancing Informal STEM Learning (AISL) program, but will be funded by the Division of Polar Programs. AISL 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 mixed methods randomized experimental study assessed a model of engagement and education that examined the contribution of SciGirls multimedia to fifth grade girls’ experience of citizen science. The treatment group (n = 49) experienced 2 hours of SciGirls videos and games at home followed by a 2.5 hour FrogWatch USA citizen science session. The control group (n = 49) experienced the citizen science session without prior exposure to SciGirls. Data from post surveys and interviews revealed that treatment girls, compared to control girls, demonstrated significantly greater interest in their
Changes in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.
This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
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TEAM MEMBERS:
David WatkinsBuyung AgusdinataChelsea SchellyRachael ShwomJenni-Louise Evans
This is the fifth volume of the annual proceedings for the Games+Learning+Society (GLS). The GLS conference is a premier event for those from both academia and industry interested in videogames and learning. The GLS conference is one of the few destinations where the people who create high-quality digital learning media can gather for a serious think about what is happening in the field and how the field can serve the public interest. The conference offers an opportunity for in-depth conversation and social networking across diverse disciplines including game studies, education research
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TEAM MEMBERS:
Kyrie CaldwellSean SeylerAmanda OchsnerConstance Steinkuehler
In respect of the different modes of science communication including journalism, radio, online, I would propose that the process of making exhibitions and centres dedicated to science & technology is one of the hardest creative typologies. It also provides a very different type of engagement to other modes, in that it works in real time and space with real tangible objects and responsive media. The power of the real is also extended through the direct and collective involvement of people, providing a refreshing antidote to the potential alienating nature of social media and the ever-growing
The prevalent lack of research on the interrelations between science, research and popular culture led to the organization of the first International Conference on Science and Research in Popular Culture #POPSCI2015, which took place at Alpen-Adria-Universität in Klagenfurt, Austria, from 17--18 September 2015. The aim of the conference was to bring together not only science communication researchers with an interest in popular culture, but also other scholars, scientists and researchers, artists, media professionals and members from the general public. In this issue of JCOM we present four
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. How can we come to terms with the complex social impact of new cutting-edge fields like synthetic biology, robotics, genetics and
machine learning? In order to manage these transformative changes, people not only need to understand science and technology, but also to actively participate in shaping a world where our ability to control the building blocks of life and cognition is vastly expanded. The Transmedia Museum will use the interactive, engaging nature of
Great Lakes Science Center (GLSC), home of the NASA Glenn Visitor Center, is dedicated to sharing NASA content to inform, engage, and inspire students, educators, and the public. To further this goal, GLSC will develop a digital experience focused on collaboration and teamwork, emphasizing the benefits of a systems approach to STEM challenges. At the recently, fully renovated NASA Glenn Visitor Center, GLSC visitors will embark on an exciting mission of discovery, working in teams to collect real data from NASA objects and experiences. Mobile devices will become scientific tools as students, teachers, and families take measurements, access interviews with NASA scientists, analyze results from Glenn Research Center (GRC) test facilities, and link to NASA resources to assemble mission-critical information. This initiative will provide experiences that demonstrate how knowledge and practice can be intertwined, a concept at the core of the Next Generation Science Standards. GLSC’s digital missions will engage students and families in STEM topics through the excitement of space exploration. In addition, this project has the potential to inform the design of future networked visitor experiences in science centers, museums and other visitor attractions.
Bridging Earth and Mars (BEAM): Engineering Robots to Explore the Red Planet engages the general public and K-8 students in exhibits and programs designed to foster awareness of robotic technology, computer programming, and the challenges and opportunities inherent in NASA missions and S-STEM careers. The Saint Louis Science Center (SLSC) of St. Louis, Missouri is the lead institution and project site; partners include Washington University in St. Louis, Saint Louis University, the St. Louis regional FIRST Robotics organization, and the Challenger Learning Center-St. Louis. Project goals are to: 1) inform, engage, and inspire the public to appreciate NASA’s Mission by sharing findings and information about NASA’s missions to Mars; 2) ignite interest in S-STEM topics and careers for diverse K-8 students; and, 3) encourage students in grades 6-8 to sustain participation in educational experiences along the S-STEM careers pipeline. The SLSC will design and build a Martian surface and panorama where two rovers can be remotely controlled. Visitors in the McDonnell Planetarium will use controllers to program rover exploration of the Martian landscape in real-time. Visitors in SLSC’s Cyberville gallery, located one-quarter mile away across a highway-spanning enclosed bridge, will program the second rover with simulated time lag and view its movements via a two-way camera system. SLSC will organize and host a series of Innovation Workshops for K-8 students, each featuring teamwork-building engineering challenges from current and updated NASA-based science curricula. Participants will be recruited from SLSC community partners, which include community centers and faith-based programs for underserved families.
Living Liquid is a full-scale development project that will develop and research a new genre of science exhibit that engage visitors in inquiry with large scientific datasets through interactive visualizations. Building on findings from a prior pathways project, Living Liquid will develop three interactive visualizations on a multi-touch Viz Table with a tangible user interface. Each visualization will support visitors in the exploration of a dataset provided by the project’s science partners: 1) Plankton Patterns will show how the ocean is defined by regions of microscopic life using data from the MIT Darwin Project; 2) Ocean Tracks will reveal the “highways” large marine creatures travel with data from the TOPP project at Stanford University; and 3) Genetic Rhythms will follow the activity of marine creatures’ genes in response to environmental conditions based on data from the Center for Microbial Oceanography Research and Education (C-MORE). Through an iterative process of collaborative research and development among museum professionals, educational researchers, computer scientists, marine biologists, data artists and interaction designers, this project seeks to: (1) Advance public understanding of ocean ecosystems and large data inquiry skills through the development of a Viz Table. (2) Advance STEM professionals’ knowledge of how to engage the public in inquiry with visualizations through an educational research study. (3) Increase the capacity of STEM professionals (both ISE developers and research scientists) to develop visualizations through a collaborative development process that includes graduate student training and residencies.
This REAL project arises from the 2013 solicitation on Data-intensive Research to Improve Teaching and Learning. The intention of that effort is to bring together researchers from across disciplines to foster novel, transformative, multidisciplinary approaches to using the data in large education-related data sets to create actionable knowledge for improving STEM teaching and learning environments in the medium term and to revolutionize learning in the longer term. This project addresses the issue of how to represent and communicate data to young people so that they can track their learning and weaknesses and take advantage of what they learn through that tracking. The project team aims to address this challenge by giving young people (middle schoolers) the tools and support to create, manipulate, analyze, and share representations of their own understanding, capabilities, and participation within the Scratch environment. Scratch is a programming language and online community in which youngsters (mostly middle schoolers) engage in programming together, sometimes to make scientific models and sometimes to express themselves artistically using sophisticated computer algorithms. Scratch community participants are often interested in keeping track of what they are learning, so this population is a good one for exploring ways of helping young people make sense of data that records their participation and learning. The team will extend the Scratch programming language with facilities for manipulating, analyzing, and representing such data, and Scratch participants will be challenged to make sense of their learning and participation data and helped to use the new facilities to do write programs to carry out such interpretation. Scratch participants will become visualizers of their participation patterns and learning trajectories; research will address how such data explorations influence their learning trajectories. Scratch and its community are the place for the proposed investigations, but what is learned will apply far more broadly to construction of tools for allowing learners to understand their participation and learning across a broad range of environments. This project addresses the sixth challenge in the program solicitation: how can information extracted from large datasets be represented and communicated to maximize its usefulness in real-time educational stings, and what delivery mechanisms are right for that? The PIs go right to the learners; rather than looking for delivery mechanisms for communicating the data representations, they give young people tools and support to create manipulate, analyze, and share those representations, bringing together approaches to quantitative evidence-based learning analytics with the constructionist tradition of learning through design experiences. In addition to helping us learn about how to help youngsters analyze data about their perforance and self-assess, the PIs expect that their endeavor will help us better learn how to help young people become data analyzers, an important part of computational thinking. Learners will, in the process of engaging with data representing their development and participation, interact with visualizations, model and troubleshoot data sets, and search for patterns in large data sets. In addition, the tools being developed as part of this project will be applicable for analysis of other types of data sets. The results that will transfer beyond Scratch and the Scratch community, are (1) the kinds of tools that make such analysis possible for youngsters, (2) the kinds of challenges that will get youngsters interested in doing such analyses, (3) the kinds of data youngsters can handle, and (4) the kinds of scaffolding and coaching youngsters need to make sense of that data.
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TEAM MEMBERS:
Benjamin Mako HillMitchel ResnickNatalie Rusk