This is an expertise exchange in the CIRCLS’23 Expertise Exchange session
Data is everywhere in our lives and society, and embeds a lot of existing biases and assumptions. What does this mean for what we do and think? Now that data science education is emerging as a distinct discipline in K-12 learning, it is essential to think about how we best engage all perspectives and employ a critical lens across them.
This session, designed for both practitioners and researchers, will take up some of the most important questions across K-12 data science education today.
This session will anchor discussion around a series of draft frameworks for critical data literacy and research-based data science learning progressions, directly engaging participants in helping contribute to and provide feedback on these emerging frameworks. Through concrete examples from ongoing work in teaching and learning, participants will consider how data science education may help contribute to or expand their work, and how they may be able to connect with and contribute to this growing field of research and pedagogy.
Participants will receive advance access to early drafts of national frameworks, developing publications, and cutting-edge technology tools for data exploration, and will be connected to ongoing opportunities for engaging with a community of other researchers across the coming year as the frameworks develop.