Integrated Data Science for Secondary Schools
Emmanuel Schanzer, Nancy Pfenning, Flannery Denny, Sam Dooman, Joe Gibbs Politz, Benjamin S. Lerner, Kathi Fisler, Shriram Krishnamurthi
Abstract
We propose that secondary-school data-science curricula should be based on four key ingredients: two are technical (programming and statistics, with visualization sitting at their intersection), while two are human-facing (meaningful domains, and civic responsibility). We describe their relationship and argue for their importance.
Topics & Concepts
Intersection (aeronautics)VisualizationCurriculumComputer scienceData visualizationKey (lock)Data scienceMathematics educationSociologyArtificial intelligencePedagogyEngineeringPsychologyAerospace engineeringComputer securityStatistics Education and MethodologiesGenetics, Bioinformatics, and Biomedical ResearchTeaching and Learning Programming