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There is a need for a framework that conceptualizes data science learning at the K-12 level which could serve as a guide to policy makers, practitioners and researchers alike. In an attempt to build such a framework, the Concord Consortium and Data Science 4 Everyone joined together, with seed funding from NSF and the Valhalla Foundation to facilitate a series of workshops across the field with the goal of building consensus Learning Progressions (LP) for K-12 DSE. 

Climate change is a pressing societal challenge. It is also a pedagogical challenge and a worldwide phenomenon, whose local impacts vary across different locations. Climate change reflects global inequity; communities that contribute most to emissions have greater economic resources to shelter from its consequences, while the lowest emitters are most vulnerable. It is scientifically complex, and simultaneously evokes deep emotions. These overlapping issues call for new ways of science teaching that center personal, social, emotional, and historical dimensions of the crisis. In this article, we describe a middle school science curriculum approach that invites students to explore large-scale data sets and author their own data stories about climate change impacts and inequities by blending data and narrative texts. Students learn about climate change in ways that engage their personal and cultural connections to place; engage with complex causal relationships across multiple variables, time, and space; and voice their concerns and hopes for our climate futures. Connections to relevant science, data science, and literacy standards are outlined, along with relevant data sets and assessments. 

There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concerns. We demonstrate through two examples how our proposed humanistic stance highlights ways that efforts to make data personally relevant for youth also necessarily implicate cultural and sociopolitical dimensions that affect the design and learning opportunities in data-rich learning environments. We offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data.