This project seeks to apply explainable artificial intelligence to the challenge of personalizing training for adult citizen scientists. The approach will be developed in the context of the Native Bee Watch (NBW) biodiversity monitoring project that began in 2016 at Colorado State University.
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TEAM MEMBERS:
Sarath SreedharanNikhil KrishnaswamyJill ZarestkyNathaniel Blanchard
Structural inequities contribute to the disproportionate incarceration of Black and African American women, as well as women from the working class. This project will work toward redressing these inequities through developing and researching an ecosystem designed to support formerly incarcerated women's transition into careers that require technology-based skills or computational thinking.
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
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).
The Accessible Oceans study will design auditory displays that support learning and understanding of ocean data in informal learning environments like museums, science centers, and aquariums. Most data presentations in these spaces use visual display techniques such as graphs, charts, and computer-generated visualizations, resulting in inequitable access for learners with vision impairment or other print-related disabilities. While music, sound effects, and environmental sounds are sometimes used, these audio methods are inadequate for conveying quantitative information. The project will use sonification (turning data into sound) to convey meaningful aspects of ocean science data to increase access to ocean data and ocean literacy. The project will advance knowledge on the design of auditory displays for all learners, with and without disabilities, as well as advance the use of technology for STEM formal and informal education. The study will include 425 participants but will reach tens of thousands through the development of education materials, public reporting, and social media. The study will partner with the Smithsonian National Museum of Natural History, Woods Hole Oceanographic Institution Ocean Discovery Center, the Georgia Aquarium, the Eugene Science Center, the Atlanta Center for the Visually Impaired, and Perkins School for the Blind.
The project will leverage existing educational ocean datasets from the NSF-funded Ocean Observatories Initiative to produce and evaluate the feasibility of using integrated auditory displays to communicate tiered learning objectives of oceanographic principles. Integrated auditory displays will each be comprised of a data sonification and a context-setting audio introduction that will help to make sure all users start with the same basic information about the phenomenon. The displays will be developed through a user-centered design process that will engage ocean science experts, visually impaired students and adults (and their teachers), and design-oriented undergraduate and graduate students. The project will support advocacy skills for inclusive design and will provide valuable training opportunities for graduate and undergraduate students in human-centered design and accessibility. The project will have foundational utility in auditory display, STEM education, human-computer interaction, and other disciplines, contributing new strategies for representing quantitative information that can be applied across STEM disciplines that use similar visual data displays. The project will generate publicly accessible resources to advance studies of inclusive approaches on motivating learners with and without disabilities to learn more about and consider careers in STEM.
This Pilots and Feasibility Studies project is supported by the Advancing Informal STEM Learning 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.