Virtual Reality (VR) shows promise to broaden participation in STEM by engaging learners in authentic but otherwise inaccessible learning experiences. The immersion in authentic learner environments, along with social presence and learner agency, that is enabled by VR helps form memorable learning experiences. VR is emerging as a promising tool for children with autism. While there is wide variation in the way people with autism present, one common set of needs associated with autism that can be addressed with VR is sensory processing. This project will research and model how VR can be used to minimize barriers for learners with autism, while also incorporating complementary universal designs for learning (UDL) principles to promote broad participation in STEM learning. As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches, and resources for use in a variety of settings. This project will build on a prototype VR simulation, Mission to Europa Prime, that transports learners to a space station for exploration on Jupiter's moon Europa, a strong candidate for future discovery of extraterrestrial life and a location no human can currently experience in person. The prototype simulation will be expanded to create a full, immersive STEM-based experience that will enable learners who often encounter cognitive, social, and emotional barriers to STEM learning in public spaces, particularly learners with autism, to fully engage and benefit from this STEM-learning experience. The simulation will include a variety of STEM-learning puzzles, addressing science, mathematics, engineering, and computational thinking through authentic and interesting problem-solving tasks. The project team's learning designers and researchers will co-design puzzles and user interfaces with students at a post-secondary institute for learners with autism and other learning differences. The full VR STEM-learning simulation will be broadly disseminated to museums and other informal education programs, and distributed to other communities.
Project research is designed to advance knowledge about VR-based informal STEM learning and the affordances of VR to support learners with autism. To broaden STEM participation for all, the project brings together research at the intersection of STEM learning, cognitive and educational neuroscience, and the human-technology frontier. The simulation will be designed to provide agency for learners to adjust a STEM-learning VR experience for their unique sensory processing, attention, and social anxiety needs. The project will use a participatory design process will ensure the VR experience is designed to reduce barriers that currently exclude learners with autism and related conditions from many informal learning opportunities, broadening participation in informal STEM learning. Design research, usability, and efficacy studies will be conducted with teens and adults at the Pacific Science Center and Boston Museum of Science, which serve audiences with autism, along with the general public. Project research is grounded in prior NSF-funded research and leverages the team's expertise in STEM learning simulations, VR development, cognitive psychology, universal design, and informal science education, as well as the vital expertise of the end-user target audience, learners with autism. In addition to being shared at conferences, the research findings will be submitted for publication to peer-reviewed journals for researchers and to appropriate publications for VR developers and disseminators, museum programs, neurodiverse communities and other potentially interested parties.
This Innovations in Development award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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TEAM MEMBERS:
Teon EdwardsJodi Asbell-ClarkeJamie LarsenIbrahim Dahlstrom-Hakki
Sense-making with data through the process of visualization—recognizing and constructing meaning with these data—has been of interest to learning researchers for many years. Results of a variety of data visualization projects in museums and science centers suggest that visitors have a rudimentary understanding of and ability to interpret the data that appear in even simple data visualizations. This project supports the need for data visualization experiences to be appealing, accommodate short and long-term exploration, and address a range of visitors’ prior knowledge. Front-end evaluation
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The project 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. 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 project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.
This poster was presented at the 2014 AISL PI Meeting in Washington, DC. It describes the first year partnership to design and implement a social networking platform and digital badges with two science center programs.
Making Stuff Season Two is designed to build on the success of the first season of Making Stuff by expanding the series content to include a broader range of STEM topics, creating a larger outreach coalition model and a “community of practice,” and developing new outreach activities and digital resources. Specifically, this project created a national television 4-part miniseries, an educational outreach campaign, expanded digital content, promotion activities, station relations, and project evaluation. These project components help to achieve the following goals: 1. To increase public understanding that basic research leads to technological innovation; 2. To increase and sustain public awareness and excitement about innovation and its impact on society; and 3. To establish a community of practice that enhances the frequency and quality of collaboration among STEM researchers and informal educators. These goals were selected in order to address a wider societal issue, and an important element of the overall mission of NOVA: to inspire new generations of scientists, learners, and innovators. By creating novel and engaging STEM content, reaching out to new partners, and developing new outreach tools, the second season of Making Stuff is designed to reach new target audiences including underserved teens and college students crucial to building a more robust and diversified STEM workforce pipeline. Series Description: In this four-part special, technology columnist and best-selling author David Pogue takes a wild ride through the cutting-edge science that is powering a next wave of technological innovation. Pogue meets the scientists and engineers who are plunging to the bottom of the temperature scale, finding design inspiration in nature, and breaking every speed limit to make tomorrow's "stuff" "Colder," "Faster," "Safer," and "Wilder." Making Stuff Faster Ever since humans stood on two feet we have had the basic urge to go faster. But are there physical limits to how fast we can go? David Pogue wants to find out, and in "Making Stuff Faster," he’ll investigate everything from electric muscle cars and the America’s cup sailboat to bicycles that smash speed records. Along the way, he finds that speed is more than just getting us from point A to B, it's also about getting things done in less time. From boarding a 737 to pushing the speed light travels, Pogue's quest for ultimate speed limits takes him to unexpected places where he’ll come face-to-face with the final frontiers of speed. Making Stuff Wilder What happens when scientists open up nature's toolbox? In "Making Stuff Wilder," David Pogue explores bold new innovations inspired by the Earth's greatest inventor, life itself. From robotic "mules" and "cheetahs" for the military, to fabrics born out of fish slime, host David Pogue travels the globe to find the world’s wildest new inventions and technologies. It is a journey that sees today's microbes turned into tomorrow’s metallurgists, viruses building batteries, and ideas that change not just the stuff we make, but the way we make our stuff. As we develop our own new technologies, what can we learn from billions of years of nature’s research? Making Stuff Colder Cold is the new hot in this brave new world. For centuries we've fought it, shunned it, and huddled against it. Cold has always been the enemy of life, but now it may hold the key to a new generation of science and technology that will improve our lives. In "Making Stuff Colder," David Pogue explores the frontiers of cold science from saving the lives of severe trauma patients to ultracold physics, where bizarre new properties of matter are the norm and the basis of new technologies like levitating trains and quantum computers. Making Stuff Safer The world has always been a dangerous place, so how do we increase our odds of survival? In "Making Stuff Safer," David Pogue explores the cutting-edge research of scientists and engineers who want to keep us out of harm’s way. Some are countering the threat of natural disasters with new firefighting materials and safer buildings. Others are at work on technologies to thwart terrorist attacks. A next-generation vaccine will save millions from deadly disease. And innovations like smarter cars and better sports gear will reduce the risk of everyday activities. We’ll never eliminate danger—but science and technology are making stuff safer.
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TEAM MEMBERS:
WGBH Educational FoundationPaula Apsell
The University of Central Florida Media Convergence Laboratory, New York Hall of Science, and the Queens Museum of Art are developing a 3-D, multi-user virtual environment (MUVE) of the 1964/65 New York World's Fair. Virtual fairgoers of all ages will be immersed in an accurately modeled historical world with more than 140 pavilions on science, technology, engineering, and mathematics (STEM) disciplines and an array arts and humanities exhibits. The virtual world can be freely explored through self-designed avatars, and avatar-led guided tours. Discovery Points throughout the virtual environment will afford opportunities for in-depth engagement in STEM topics that will empower participants to explore the broader consequences of technological innovations. The centerpiece of user-generated content is FutureFair, an area where online users can create and share their personal visions of the future. Interconnections reaches beyond its virtual component through its partnership with the New York Hall of Science and the Queens Museum of Art, which are both situated in the heart of Queens in Flushing Meadows Corona Park, a 1255 acre urban park that hosted the 1939/1940 and 1964/65 Fairs. The New York Hall of Science will provide face-to-face youth workshops that employ problem-based learning. Single and multi-session programs will connect adolescents to STEM content presented at the Fair through the virtual world environment. Participants will create multimedia content for inclusion in the project's website. Multi-touch interactive stations at the Queens Museum of Art will enhance their NY World's Fair Exhibit Hall by empowering visitors to individually or collectively explore various STEM topics and the symbiotic relationships between STEM and the humanities, and by serving as an attractor for visitors to the online Fair exploration. The project will be completed in time for the 50th Anniversary celebration of the 1964 World's Fair. Building upon prior research on learning in virtual worlds, the project team will investigate how STEM concepts are advanced in a simulated multi-user virtual environment and studying the effectiveness of using Virtual Docents as enhancements to the informal learning process. The research and development deliverables have strong potential to advance the state of informal science education, research on modeling and simulation in virtual world development, and education research. Michigan Technological University will conduct the project formative and summative evaluations.
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TEAM MEMBERS:
Lori WaltersMichael MoshellCharles HughesEileen Smith
The University of Southern California's Institute for Creative Technologies and the Museum of Science, Boston will create life-sized, 3-D Virtual Humans that will interact with visitors as interpretive guides and learning facilitators at science exhibits. Through the use of advanced artificial intelligence and intelligent tutoring techniques, Virtual Humans will provide a highly responsive functionality in their dialogue interpretation that will generate sophisticated interaction with visitors about the STEM content related to the exhibit. The project exemplifies how the confluence of science, technology, engineering, mathematics and education can creatively and collaboratively advance new tools and learning processes. The Virtual Human project will begin to present to the visitor a compelling, real life, interactive example of the future and of the related convergence of various interdisciplinary trends in technology, such as natural language voice recognition, mixed reality environments, para-holographic display, visitor recognition and prior activity recall, artificial intelligence, and other interdisciplinary trends. The 3-D, life-sized Virtual Humans will serve as museum educators in four capacities: 1) as a natural language dialogue-based interactive guide that can suggest exhibits to explore in specific galleries and answer questions about particular STEM content areas, such as computer science; 2) as a coach to help visitors understand and use particular interactive exhibits; 3) be the core focus of the Science behind the Virtual Humans exhibit; and 4) serve as an ongoing research effort to improve human and virtual human interactions at increasingly sophisticated levels of complexity. The deliverables will be designed to build upon visitor experiences and stimulate inquiry. A living lab enables visitors to become part of the research and development process. The project website will introduce visitors to the technologies used to build virtual humans and the research behind their implementation. The site will be augmented with videos and simulations and will generate user created content on virtual human characters. Project evaluation and research will collect language and behavioral data from visitors to inform the improvement of the virtual guide throughout the duration of the grant and to develop a database that directly supports other intelligent systems, and new interface design and development that will have broad impact across multiple fields.
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TEAM MEMBERS:
William SwartoutDavid TraumJacquelyn MorieDiane PiepolH. Chad Lane
The Scientific Reasoning Research Institute at the University of Massachusetts, Amherst will conduct a feasibility study for engaging museum visitors in data analysis through this planning grant. Intellectual Merit: This project builds on the extensive prior work of the PI in developing Tinkerplots software for middle school students. At the same time, it potentially takes advantage of the many museum exhibitions that include various kinds of data but provide no mechanisms for visitors to analyze the data and draw conclusions. This project makes the connection by seeking to demonstrate the proof of concept for the transfer of this data analysis program from the formal to the informal setting. Broader Impact: This project will purposefully test three very different settings -- Museum of Science, Boston, MA; Naismith Basketball Hall of Fame, Springfield, MA; and Missouri Botanical Garden, St. Louis, MO -- to explore the advantages and limitations of this approach in those learning environments. If successful, the software could have very wide application.
The Challenger Center for Space Science Education located in Alexandria, Virginia, a nonprofit organization with a mission to increase the number of youth interested in science and space, is requesting $303,170 over two years from the National Science Foundation (NSF) to develop a new scenario for its Challenger Learning Centers. Located in science centers. museums and schools around the country. Learning Centers house equipment and educational programming for hands-on training during a simulated mission. Scenarios use mathematics, science and problem-solving skills to provide participants with simulated experiences of working in a space laboratory and a "Mission control" laboratory. Challenger Center requests assistance and partnership from NSF to develop, field test, implement and evaluate a new scenario on the environment, "Mission to Planet Earth" scenario. This project will involve collaboration of expert scientists, educators, Challenger staff, and science museum professionals. Annually more than 180,000 students and between 10,000 and 15,000 adults will participate in the scenario at Learning Centers, using space as a format for learning about environmental issues. Challenger is working on the preliminary planning stage between June and December 1991. Two years of funding are requested from NSF beginning in January 1992.
This volume explores how technology-supported learning environments can incorporate physical activity and interactive experiences in formal and informal education. It presents cutting-edge research and design work on a new generation of "body-centric" technologies such as wearable body sensors, GPS tracking devices, interactive display surfaces, video game controller devices, and humanlike avatars. Contributors discuss how and why each of these technologies can be used in service of learning within K-12 classrooms and at home, in museums and online. Citing examples of empirical evidence and