This project will use a complex systems approach to hazard reduction across multiple scales of risk by developing a new generation of socio-technical digital twin that integrates models of physical infrastructure systems and virtual networks of communication with social games to engage community awareness and commitment to collective action.
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TEAM MEMBERS:
Kenichi SogaLouise ComfortStephen CollierMichael GollnerJ. Keith Gilless
Data is increasingly important in all aspects of people’s lives, from the day-to-day, to careers and to civic engagement. Preparing youth to use data to answer questions and solve problems empowers them to participate in society as informed citizens and opens doors to 21st century career opportunities. Ensuring equitable representation in data literacy and data science careers is critical. For many girls underrepresented in STEM, developing a "data science identity" requires personally meaningful experiences working with data. This project aims to promote middle school-aged girls’ interest and aspirations in data science through an identity-aligned, social game-based learning approach. The goals are to create a more diverse and inclusive generation of data scientists who see data as a resource and who are equipped with the skills and dispositions necessary to work with data in order to solve practical problems. The research team will run 10 social clubs and 10 data science clubs mentored by women in data science recruited through the University of Miami’s Institute for Data Science and Computing. Participants will be 250 middle school-aged girls recruited in Miami, FL, and Yolo County, CA, through local and national girls’ organizations. Youth will participate in a data science club and will learn key data science concepts and skills, including data structures, storage, exploration, analysis, and visualization. These concepts will be learned from working with their own data collected in personally meaningful ways in addition to working with data collected by others in the same social game eco-system. The project will also develop facilitator materials to allow adult volunteers to create game-based informal data science learning experiences for youth in their areas. 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 and is co-funded by the Innovative Technology Experiences for Students and Teachers (ITEST), which seeks to engage underrepresented students in technology-rich learning environments, including skills in data literacy, and increase students’ knowledge and interest in information and communication technology (ICT) careers.
Researchers will focus on two primary research questions: 1) Across gameplay and club experiences, in what ways do participants engage with data to pursue personal or social goals? 2) How do gameplay and club experiences shape girls’ perceptions of data, data science, and their fit with data and data science? The project will use design-based research methods to iteratively design the game and social club experiences. To ensure that uses of data feel personally and socially meaningful to young girls, the virtual world’s goals, narratives, and activities will be co-designed with girls from groups underrepresented in data science. The project will research engagement with game data in two informal, game-based learning scenarios: organic, self-directed, social play club, and structured, adult-facilitated data science clubs. The research will use a combination of quantitative and qualitative methods including surveys, focus groups, interviews, and gameplay and club observations. Project evaluation will determine how gameplay and club experiences impact participants' attitudes toward and interest in data-rich futures. The project holds the potential for broadening participation and promoting interest in data science by blending game-based learning with the rich social and adult mentoring through club participation. The results will be disseminated through conference presentations, scholarly publications, and social media. The game and facilitator materials will be designed for dissemination and made freely available to the public.
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TEAM MEMBERS:
Lisa HardyGary GoldbergerJennifer Kahn
Access to STEM information is unequal, with rural and poor communities often receiving the fewest public education science and science literacy opportunities. Rural areas also face unique STEM teaching and technology integration challenges. In fact, LatinX communities in rural areas are less likely to have access to educational resources and language supports available to LatinX communities in urban centers. This project will help address these inequities by engaging rural librarians, bilingual science communicators, polar scientists, and a technical team to create a series of five bilingual virtual reality (VR) experiences to enhance STEM understanding and appreciation. Project researchers will create a new channel for disseminating polar science, working first with rural Latinx communities in Wisconsin to create a new network between rural communities and university researchers. Involving rural librarians in the co-design of instruction process will produce new ways for rural libraries to engage their local communities and their growing Latinx populations with polar science learning experiences. Each of the five VR experiences will focus on a different area of research, using the captivating Arctic and Antarctic environments as a central theme to convey science. VR is a particularly powerful and apt approach, making it possible to visit places that most cannot experience first-hand while also learning about the wide range of significant research taking place in polar regions. After design, prototyping and testing are finished, the VR experiences will be freely available for use nationally in both rural and urban settings. Public engagement with science creates a multitude of mutual benefits that result from a better-informed society. These benefits include greater trust and more reasoned scrutiny of science along with increased interest in STEM careers, many of which have higher earning potential. The project team will partner with 51 rural libraries which are valued community outlets valuable outlets to improve science literacy and public engagement with science. The effects of this project will be seen with thousands of community members who take part in the testing of prototype VR experiences during development and scaled engagement through ongoing library programs utilizing the final VR experiences for years to come.
This project will create new informal STEM learning assessment techniques through combining prior efforts in the areas of educational data mining for stealth assessment and viewpoint similarity metrics through monitoring gaze direction. Results of the project contribute to the field of educational data mining (EDM), focusing on adopting its methods for VR learning experiences. EDM is a process of using fine grained interaction data from a digital system to support educationally relevant conclusions and has been applied extensively to intelligent tutors and more recently, educational videogames. This project will continue building on existing approaches by expanding to include the unique affordances of VR learning media, specifically gaze. The project will focus on predicting user quitting as well as assessing key learning goals within each experience and triangulate these predictive models with user observations and post-experience surveys. The eventual application of this foundational research would address the problem in assessing a learner using measures external to the experience itself (i.e., surveys) and instead provide new methods that instrument learners using only data generated by their actions within the learning context. These techniques will provide a new means for evaluating informal learning in immersive technology settings without need for explicit tagging. The findings from this project will enable a greater understanding of the relationship between a user’s experience and their learning outcomes, which may prove integral in the creation of educational interventions using VR technology.
This Innovations in Development project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to (a) advance new approaches to and evidence-based understanding of the design and development of STEM learning in informal environments; (b) provide multiple pathways for broadening access to and engagement in STEM learning experiences; (c) advance innovative research on and assessment of STEM learning in informal environments; and (d) engage the public of all ages in learning STEM in informal environments. This project is also supported by the Office of Polar Programs.