Integrating Data Science into High School Physics

As science and society become increasingly data-driven, integrating data science into high school physics is no longer optional, it is essential. This article explores how embedding data literacy within physics instruction can equip students with critical tools to analyze real-world phenomena and engage in evidence-based reasoning. Using OpenSciEd’s High School Physics unit on the 2021 Texas blackouts, the piece showcases how students use publicly available energy and demographic data, analyzed through the Common Online Data Analysis Platform (CODAP), to explore questions of correlation, causation, and equity. By modeling power distribution, evaluating outage data, and questioning fairness in energy access, students learn not only key data science concepts but also how social systems shape scientific outcomes. The investigation fosters deep engagement with NGSS-aligned practices, including recognizing data limitations and addressing the sociopolitical contexts in which data is produced and used. This approach lowers barriers for teachers through thoughtfully designed, research-based curriculum materials, and offers a model for how physics instruction can both reflect contemporary scientific practice and empower students to see the human and ethical dimensions of data. In doing so, educators help students build the data fluency required for future STEM pathways and for meaningful participation in a complex world.