#422: Interdisciplinary Contextualizing in Data Storytelling about Immigration Topics

Case studies illuminate interdisciplinary contextualization in data storytelling, within the context of curriculum modules engaging middle school students in data-infused, PBL drawing from disciplines of social studies, English Language Arts, and data science. We address the questions: How do students tell stories with data, and how can data storytelling contribute to students’ data agency and identity? We discuss the potential of telling empirical stories with data and integrating rigorous data analysis with humanistic learning.