Excited to share a new paper out in the British Journal of Educational Technology. I worked with collaborators to assess what data feminism looks like in K-12 data science education. We retrospectively review 42 youth data programs and projects, assessing each against the key principles of data feminism.
Taking data feminism to school: A synthesis and review of pre-collegiate data science education projects
Victor R. Lee, Daniel R. Pimentel, Rahul Bhargava, Catherine D’Ignazio
As the field of K-12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data feminism to review 42 different educational research and design approaches that engage youth with data, many of which are educational technology intensive and bear on future data-intensive educational technology research and design projects. We describe how the projects engage students with examining power, challenging power, elevating emotion and lived experience, rethinking binaries and hierarchies, embracing pluralism, considering context, and making labour visible. In doing so, we articulate ways that current data education initiatives involve youth in thinking about issues of justice and inclusion. These projects may offer examples of varying complexity for future work to contend with and, ideally, extend in order to further realize data feminism in K-12 data science education.