Although data modeling, the employment of statistical reasoning for the purpose of investigating questions about the world, is central to both mathematics and science, it is rarely emphasized in K-16 instruction. The current work focuses on developing thinking about data modeling with undergraduates in general and preservice teachers in…

Quantitative reasoning is a key intellectual skill, applicable across disciplines and best taught in the context of authentic, relevant problems. Here, I describe and assess a laboratory exercise that has students calculate their "carbon footprint" and evaluate the impacts of various behavior choices on that footprint. Students gather…

Students in a junior- and senior-level Anatomy and Physiology course have the opportunity to correct missed exam questions ("regrade") and earn up to half of the original points missed. The three objectives of this study were to determine if: (a) performance on the regrade assignment was correlated with scores on subsequent exams, (b)…

College instruction aims not only to expand students' content knowledge, but also to help students develop practical skills, such as the ability to think critically. This study was conducted in a chemistry course for non science majors offered as part of a liberal education core curriculum at a large public university in the Midwest. Students…

Clickers were used for real-time data collection in two introductory biology laboratory courses so that students could perform statistical analysis on large data sets. Student attitudes toward this use of clickers were surveyed and students were administered a pre- and posttest on statistical content. Capture of large data sets allowed instructors…

Identifies and explains some of the crucial elements of team research and data analysis, points out common pitfalls, and makes some helpful suggestions. Sections include general recommendations and communicating in statistical language. (ZWH)