In April 2018, FHI 360, under the leadership of Maryann Stimmer and Merle Froschl, convened a meeting of thought leaders in Washington, D.C. to capture a “snapshot” of STEM education. They subsequently conducted additional interviews with more than 50 local and national policy leaders; public and private funders; researchers; PreK-12 and post-secondary educators; parents, and leaders of afterschool programs, science centers and youth-serving organizations. The purpose of this summary report is to identify current trends and gaps to inform research, policy, and practice in order to reinforce
Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data literate society. Yet conspicuously absent from the big data revolution is the field of teaching and learning. The revolution in big data must match a complementary revolution in a new kind of literacy, through a significant infusion of STEM education with the kinds of skills that the revolution in 21st century data-driven science demands. This project represents a concerted effort to determine what it means to be a big data literate citizen, information worker, researcher, or policymaker; to identify the quality of learning resources and programs to improve big data literacy; and to chart a path forward that will bridge big data practice with big data learning, education and career readiness.
Through a process of inquiry research and capacity-building, New York Hall of Science will bring together experts from member institutions of the Northeast Big Data Innovation Hub to galvanize big data communities of practice around education, identify and articulate the nature and quality of extant big data education resources and draft a set of big data literacy principles. The results of this planning process will be a planning document for a Big Data Literacy Spoke that will form an initiative to develop frameworks, strategies and scope and sequence to advance lifelong big data literacy for grades P-20 and across learning settings; and devise, implement, and evaluate programs, curricula and interventions to improve big data literacy for all. The planning document will articulate the findings of the inquiry research and evaluation to provide a practical tool to inform and cultivate other initiatives in data literacy both within the Northeast Big Data Innovation Hub and beyond.
Fusion Science Theater (FST) uses elements of playwriting to make informal science education more engaging as well as educational. FST shows incorporate an overarching scientific question that is asked and then answered by a series of participatory exercises and demonstrations. The shows also use “embedded assessment” of learning, which asks children to “vote their prediction” both before and after these activities. The FST National Training and Dissemination Program had three major goals: (1) To develop and implement a Performance Training Program to train professional audiences to perform
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TEAM MEMBERS:
Madison Area Technical CollegeJoanne Cantor
Our Center works with students from kindergarten through graduate school and beyond. We work with teachers and scientists and combine our knowledge to inspire students to pursue careers in neural engineering and neuroscience. Program activities include summer research programs, curriculum development, school visits, teacher/student workshops, science festivals, and international student exchanges.
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TEAM MEMBERS:
University of WashingtonEric Chudler