This is the report of a working group on Technology and Statistics that explores the role of technology in improving how students model and analyze data to understand the world around them. The paper first addresses curricular goals for students at different grade levels. A section on modeling issues examines data analysis as an investigative process in which students construct, examine, and interpret models of the world. Other sections of the paper describe the unique capabilities technology offers for teaching and learning statistics, provide examples of existing technology designed to help students develop important concepts, and offer recommendations for technology to be developed over the next decade. Research issues and teacher preparation concerns are also addressed.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education