The data sets used in statistics education have changed over time, from mathematically "well-behaved" ones that facilitated computation, to more context-rich sources and now, with the increasing influence of data science practices, to "found" data, often from open data sites. As data sources change, it is important for…

Scientists use judgment in deciding what and how much data to present in publications but science degrees rarely address this issue. Instead, scientific knowledge is presented as certain and students have limited opportunities to use their own judgment in the laboratory. A consequence of this may be that students approach science with a moral…

The author says it's not enough just to have less homework or even better homework. We should change the fundamental expectation in our schools so that students are asked to take schoolwork home only when there's a reasonable likelihood that a particular assignment will be beneficial to most of them. The bottom line: No homework except for those…

Showing simply how statistical thinking can help in weighing evidence and reaching decisions can be useful both as an introduction to an extended presentation of statistical theory and as an introduction to a looser discussion of the nature and value of data.

In self-paced learning, when the regulation of effort is goal driven (e.g., allocated to different items according to their relative importance), judgments of learning (JOLs) increase with study time. When it is data driven (i.e., determined by the ease of committing the item to memory), JOLs decrease with study time (Koriat, Ma'ayan, &…

This paper identifies and discusses misconceptions that students have in making judgments of center and variability when data are presented graphically. An assessment addressing interpreting center and variability in histograms and stem-and-leaf plots was administered to, and follow-up interviews were conducted with, undergraduates enrolled in…

This case study of one middle school focuses on improving teachers' skills in data-driven decision making through analysis of student work and their own professional practice. The expectation that schools will make adequate yearly progress has pushed evaluation practice down to the teacher level, where teachers are asked to analyze and…