This is a session of Topic 8: Research in statistics education

Research on developing students’ reasoning using simulation methods for introductory statistical inference: Session I

Organizers

• Nicholas Horton (United States)
• Andrew Zieffler (United States) : Session chair

Abstract

In his landmark paper in 2007 (TISE), George Cobb argued for a 21st century approach to teaching introductory statistics. He advocated for the use of randomization and simulation methods for instruction in statistical inference, rather than the traditional formula-based approach (using methods such as the t-test and ANOVA).

Since that time, extensive research has been undertaken to develop, implement, and formally evaluate these computational approaches to teaching statistics. In addition, there has been a slow but steady incorporation of randomization and bootstrap methods topics into textbooks at the introductory level.

This session features speakers who have been instrumental in leading research to assess the impact of simulation methods on students’ statistical reasoning. They will describe and summarize the state of the art of research related to the use of simulation methods in the introductory statistics curriculum. A primary focus will be on the impact of simulation methods on students’ statistical reasoning, as well as discussion of barriers and aspects that require additional study.

Papers