4D: GAISE II: K-12 Statistics and Data Science

Anna Bargagliotti (Loyola Marymount University), Chris Franklin (ASA), Leticia Perez, Sheri Johnson (Mount Vernon School), & Pip Arnold (Karekare Education)


Every high school graduate should be able to use sound statistical reasoning to intelligently cope with making evidence based decisions as a member of society, for one’s employment, one’s being informed on current events, one’s family and to be prepared for a healthy, happy, and productive life. Teachers must be adequately prepared to teach students through the K-12 grades to meet these statistical needs. To respond to these needs, the ASA and NCTM commissioned the writing of the new Guidelines for Assessment and Instruction (GAISE) II report to published in late 2020. GAISE II discusses the changing needs in statistics, new improvements in technology, data science, and it unpacks the teaching and learning of probability to a fine-grained level. This session will introduce GAISE II and engage participants in activities using pictures as data and applets to collect data to show the important principles of data science and statistics in K-12 and how to address these needs in training teachers.