What Is Being Covered in Stand-Alone Secondary School Data Science Curricula?

• In Event: Advanced Technologies for Learning Roundtable Session

Abstract

There has been increased interest in introducing data science education into K-12 settings, but what form data science education would take in K-12 is yet to be determined. Informally, it should involve both statistics and computing, but we do not know what content from those respective areas are core to a data science curriculum. Through a document analysis of two formally designated NSF-funded secondary school data science curricula, we identify what are overlaps in content and approaches covered. We also examine what kinds of data are used, how students are asked to engage with those data sets, and how lessons introducing common content differ between the two curricula with respect to how much they emphasize statistics or computing practices.

Authors

• Victor R. Lee, Stanford University

• Victoria Delaney, Stanford University