ABSTRACT
The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support peopl
TABLE OF CONTENTS
part |1 pages
Reasoning About Uncertainty and Variation
chapter 1|24 pages
Separating Signal From Noise: Children’s Understanding of Error and Variability in Experimental Outcomes
Amy M. Masnick
chapter 2|37 pages
Complex Visual Data Analysis, Uncertainty, and Representation
Christian D. Schunn Lelyn D. Saner
chapter 3|21 pages
“I Don’t Know What’s Going On There”: The Use of Spatial Transformations to Deal With and Resolve Uncertainty in Complex Visualizations
Susan Bell Trickett
chapter 4|30 pages
Students’ Conceptual Understanding of the Standard Deviation
Robert C. delMas Yan Liu
chapter 5|31 pages
Using Students’ Informal Notions of Variability to Develop an Understanding of Formal Measures of Variability
Joan Garfield
chapter 7|13 pages
Discussion of Part I: Variation in the Meaning and Learning of Variation
Gaea Leinhardt Jorge Larreamendy-Joerns
part |1 pages
Statistical Reasoning and Data Analysis
chapter 8|13 pages
Do Naïve Theories Ever Go Away? Using Brain and Behavior to Understand Changes in Concepts
Kevin N. Dunbar Jonathan A. Fugelsang
chapter 9|25 pages
Intricacies of Statistical Inference and Teachers’ Understandings of Them
Patrick W. Thompson Yan Liu
chapter 10|33 pages
Middle School Students’ Use of Appropriate and Inappropriate Evidence in Writing Scientific Explanations
Katherine L. McNeill
chapter 12|26 pages
Data-Analysis Skills: What and How Are Students Learning?
Marsha C. Lovett Norma M. Chang
chapter 14|12 pages
Discussion of Part II: Statistical Reasoning and Data Analysis
Kenneth R. Koedinger
part |1 pages
Learning From and Making Decisions With Data
