This paper is from Session 9B: Data science in secondary education
which comes under Topic 9: Technology and multimedia in statistics education
Paper 9B3 (Monday 9th, 14:00-15:30)
Data Moves: one key to data science at the school level
Presenter
- Tim Erickson (Epistemological Engineering, United States)
Co-authors
- Frieda Reichsman (Concord Consortium, United States)
- Michelle Wilkerson (University of California at Berkeley, United States)
- William Finzer (Concord Consortium, United States)
Abstract
Can secondary-school students and their teachers, with limited computational experience, actually do something that seems like data science? In this paper, we propose a set of “data moves” that are characteristic of data science, but are seldom taught or identified explicitly in statistics curricula. These moves are accessible to teachers and students before they deal with the full scope of “professional” data science tasks or the full array of powerful—and sometimes opaque—tools. We suggest that by being aware of these moves, we can create curriculum materials that better prepare students, both for a future in data science and a future as informed citizens.