The Green Bank Observatory organized a community workshop on research experiences for high school students in disciplines supported by NSF’s Directorate for Mathematical and Physical Sciences (MPS). The workshop was intended as a forum for sharing, gathering community input, and illuminating best practices in providing research experiences to high school students and organizing such research activities across universities, labs, and observatories. The input gathered from the workshop may be useful to others wanting to support K-12 research activities.
It is often stated that solving the global challenges presented by the 21st century requires a United States workforce with training in STEM fields, and that the STEM workforce may be insufficient to fill that need. Education research literature in STEM suggests that engaging students early and often in authentic research experiences enhances STEM identity, STEM self-efficacy, and STEM career interest: three personal attributes that are linked to entry into and persistence on a STEM career pathway. Much of this literature is focused on college students, however. This workshop convened people and organizations who have designed and implemented research experiences for high school students, and who will examine the role such experiences can play in the development of a student’s interest and STEM identity.
The New York Hall of Science (NYSCI) will convene a two-day participatory design conference of to identify research and education opportunities in informal settings for supporting literacy concerning Artificial Intelligence (AI), especially for diverse and underserved youth whose communities are impacted by the bias in some AI processes. AI uses computer systems that simulate human intelligence. AI systems impact nearly every aspect of daily living, performing tasks underlying navigation apps, facial recognition, e-payments, and social media. AI can perpetuate inequities and biased outcomes in the culture at large. The conference will explore how to promote engagement and conceptual learning among youth about how AI works and what skills are needed to critically use and apply AI. The conference will also explore ways to support the interests of diverse and underserved children and youth in shaping AI and joining the growing STEM workforce that will use AI in their professions.
The conference will identify key features and needs with respect to AI literacy and explore the specific roles that informal learning can play in advancing AI literacy for youth in diverse and underserved communities. Participants in the conference will include designers, learning scientists, researchers, informal and formal educators, and science center professionals. Attendees will work in separate teams and as a group to explore and critique existing AI tools and learning frameworks, discuss lessons learned from promising AI literacy programs, and identify design principles and future directions for research. Specific attention will be paid to informal mechanisms of engagement, promising networks, and research-practice partnerships that take advantage of the unique affordances of informal learning and community services to accelerate AI literacy for historically excluded youth. The insights gained from this work will result in a set of research and programmatic priorities for informal institutions to promote AI literacy in culturally responsive ways. The resulting published guide and community events will broadly disseminate priorities and design principles generated by this convening to help informal learning institutions and community learning organizations identify both assets and priorities for addressing diversity, equity, access, and inclusion issues related to AI literacy.