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Session Type: Structured Poster Session
Data science education (DSE)—as a distinctly transdisciplinary subject—expands engagement possibilities in K-12 because learners construct ideas directly from data through epistemic acts that are inextricably tied to the social and cultural contexts from which they are derived. Some constructionists attribute this to data’s underlying material nature and its cultural embeddedness, both which inform how data is generated, shaped, and represented. In the learning sciences, this makes data—and the science of harnessing it—powerful “objects to think with.” These inroads raise critical policy, practice, and research questions about how DSE is defined, who is eligible to participate, and how participation is organized. This session engages here to re-envision learning within a DSE framework where intellectual inclusivity accompanies community-driven innovation by design.
Justice Toshiba Walker, University of Maryland
Joshua Rosenberg, University of Tennessee
Colby Tofel-Grehl, Teachers College, Columbia University
Expanding and Enriching K-12 Computational Thinking Pathways with Data Science Competencies - Shuchi Grover, Looking Glass Ventures; Quinn Burke, Digital Promise; Sharin R. Jacob, Digital Promise Global
Teaching the Past to Build Equitable AI Futures with Emancipatory Artificial Intelligence - Thema Monroe-White, George Mason University
Data Science: A Pathway for Integration Across K-12 Disciplines - Kathi Fisler, Brown University
Developing Data Arguments: The Case of a Professional Learning Community of Secondary Mathematics Teachers - Travis Weiland, University of North Carolina - Charlotte; Caitlin Ireland, University of North Carolina - Charlotte; Laura Shelton, University of Houston; Mandana Delavari, University of Houston
How Elementary Teachers Design and Implement Inclusive and Interest-Based Data Science Units - Danielle C. Herro, Clemson University; Golnaz Arastoopour Irgens, Vanderbilt University
Getting Local with Data: Possibilities and Pitfalls Across Three US Place-based Data Science Research Projects - Leah Rosenbaum, Teachers College, Columbia University; Kathryn Lanouette, William & Mary; Cody C. Pritchard, University of Tennessee; Bradley Russell Holtz, University of Tennessee
Data Science in K-12 Social Studies: Censoring Teacher Voice - Hyein Jee, Michigan State University; Anne Drew Hu, Michigan State University; Aman Yadav, Michigan State University
Finding the Sweet Spot in Interdisciplinary Data Science Education: The Data Puzzles Model - Kerri Wingert, Good Question Research & Evaluation; Jonathan Griffith, Cooperative Institute for Research in Environmental Sciences; Joshua Rosenberg, University of Tennessee; Christine Okochi, University of Colorado - Boulder; Kristin Hunter-Thomson, Dataspire Education & Evaluation LLC; Kimberly Jones, University of Tennessee; Karla Citlali Lemus Gordillo, University of Colorado - Boulder; Annette Brickley, Dataspire Education & Evaluation, LLC; Anne Gold, University of Colorado - Boulder; Alyse Thurber, University of Colorado - Boulder