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How Data Science Education Can Enable Exploration of Real World Phenomena
Fri, April 10, 9:45 to 11:15am PDT (9:45 to 11:15am PDT), Los Angeles Convention Center, Floor: Level Two, Room 515ASession Type: Structured Poster Session
Abstract
This symposium explores how real-world phenomena serve as compelling entry points for developing data science and literacy skills while deepening their content understanding. Showcasing nine posters, it highlights how phenomena-based learning, rooted in interdisciplinary, contextual inquiry, can make data science education (DSE) more authentic and meaningful. The papers examine formal classroom settings, informal learning, and teacher development. The phenomena span science, history, English/Language Arts, and student-driven interests, showcasing diverse strategies for integrating data practices. Together, these studies demonstrate how starting with complex, real-world issues can transform DSE into relevant, engaging learning experiences. The session includes poster discussions, a commentary by an expert discussant, and audience dialogue on the affordances and challenges of this approach.
Sub Unit
Chairs
Papers
Developing Critical Data Literate Girls in Informal STEM Settings - Marc Sager, Southern Methodist University; Saki L. Milton, Southern Methodist University
Climate Education & Field-Based Investigations - Venicia Ferrell, Old Dominion University; Alexis Tharpe, Old Dominion University
Supporting Justice‑Oriented Data Literacy in Science and History Classrooms - Bodong Chen, University of Pennsylvania; Regina Lisinker, University of Minnesota; Vivian Leung, Toronto Metropolitan University; David DeLiema, University of Minnesota; Cassandra Scharber, University of Minnesota
Puffins!: Scientific Sensemaking to Improve Middle School Students’ Attitudes Towards Data - Jacob Sagrans, Tumblehome, Inc.; Janice R. Mokros; Pendred E. Noyce, Noyce Foundation
Exploring Real-World Phenomena through Interest-driven Data Investigations in a High School Data Science Curriculum - Rotem Israel-Fishelson, University of Maryland; David Weintrop, University of Maryland
Embodying Data Points a Within Real-world Phenomenon - Mengxi Zhou, Indiana University; Joshua Adam Danish, University of Illinois at Urbana-Champaign
Learning Data Through Embodiment of Real World Sports Movement - Ashley Serine Quiterio, Northwestern University; Marcelo A.B. Worsley, Northwestern University
Data Science Through Physical Computing in a Smart Greenhouse Project: A Case Study - Jaai Uday Phatak, Boston College; Sheikh Ahmad Shah, Boston College; Avneet Hira, Boston College; Helen Zhang, Boston College; Michael Barnett, Boston College
Making Meaning with Data: Integrating Data Literacy in ELA - Chris Cruz-Gonzalez, Indiana University; Merijke Coenraad, Digital Promise Global; Selena Steinberg, Indiana University; Mengxi Zhou, Indiana University; Joshua Adam Danish, University of Illinois at Urbana-Champaign