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
Northern ecosystems are rapidly changing; so too are the learning and information needs of Arctic and sub-Arctic communities who depend on these ecosystems for wild harvested foods. Public Participation in Scientific Research (PPSR) presents a possible method to increase flow of scientific and local knowledge, enhance STEM-based problem solving skills, and co-create new knowledge about phenology at local and regional or larger scales. However, there remain some key challenges that the field of PPSR research must address to achieve this goal. The proposed research will make substantial contributions to two of these issues by: 1) advancing theory on the interactions between PPSR and resilience in social-ecological systems, and 2) advancing our understanding of strategies to increase the engagement of youth and adults historically underrepresented in STEM, including Alaska Native and indigenous youth and their families who play an essential role in the sustainability of environmental monitoring in the high latitudes and rural locations throughout the globe. In particular, our project results will assist practitioners in choosing and investing in design elements of PPSR projects to better navigate the trade-offs between large-scale scientific outcomes and local cultural relevance. The data collected across the citizen science network will also advance scientific knowledge on the effects of phenological changes on berry availability to people and other animals.
The Arctic Harvest research goals are to 1) critically examine the relationship between PPSR learning outcomes in informal science environments and attributes of social-ecological resilience and 2) assess the impact of two program design elements (level of support and interaction with mentors and scientists, and an innovative story-based delivery method) on the engagement of underserved audiences. In partnership with afterschool clubs in urban and rural Alaska, we will assess the impact of participation in Winterberry, a new PPSR project that investigates the effect of changes in the timing of the seasons on subsistence berry resources. We propose to investigate individual and community-level learning outcomes expected to influence the ability for communities to adapt to climate change impacts, including attributes of engagement, higher-order thinking skills, and their influence on the level of civic action and interest in berry resource stewardship by the youth groups. Using both quantitative and qualitative approaches, we compare these outcomes with the same citizen science program delivered through two alternate methods: 1) a highly supported delivery method with increased in-person interaction with program mentors and scientists, and 2) an innovative method that weaves in storytelling based on elder experiences, youth observations, and citizen science data at all stages of the program learning cycle. This 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 also has support from the Office of Polar Programs.
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TEAM MEMBERS:
Katie SpellmanElena SparrowChrista MulderDeb Jones