Thinking With Data (eBook, PDF)

Redaktion: Lovett, Marsha C.; Shah, Priti

• Format: PDF

Produktbeschreibung

Thinking with data is the set of cognitive processes used to identify, integrate, and communicate the information in complex numerical, categorical, and graphical data. Containing chapters based on presentations given at the 33rd Carnegie Symposium on Cognition, this book focuses on uncertainty and variation and how people understand these ideas.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 488
• Erscheinungstermin: 22. Mai 2007
• Englisch
• ISBN-13: 9781136679438
• Artikelnr.: 38270060

Autorenporträt

Lovett, Marsha C. ; Shah, Priti

Inhaltsangabe

Contents: Preface. Part I:Reasoning About Uncertainty and Variation. A. Masnick
D. Klahr
B. Morris
Separating Signal From Noise: Children's Understanding of Error and Variability in Experimental Outcomes. C. Schunn
L. Saner
S. Kirschenbaum
J.G. Trafton
E.B. Littleton
Complex Visual Data Analysis
Uncertainty
and Representation. S. Trickett
J.G. Trafton
L. Saner
C. Schunn
"I Don't Know What's Going on There": The Use of Spatial Transformations to Deal With and Resolve Uncertainty in Complex Visualizations. B. delMas
Y. Liu
Students' Conceptual Understanding of the Standard Deviation. J. Garfield
B. delMas
B. Chance
Using Students' Informal Notions of Variability to Develop an Understanding of Formal Measures of Variability. R. Lehrer
L. Schauble
Contrasting Emerging Conceptions of Distribution in Contexts of Error and Natural Variation. G. Leinhardt
J. Larreamendy-Joerns
Discussion of Part I: Variation in the Meaning and Learning of Variation. Part II:Statistical Reasoning and Data Analysis. K. Dunbar
J. Fugelsang
C. Stein
Do Naïve Theories Ever Go Away? Using Brain and Behavior to Understand Changes in Concepts. P. Thompson
Y. Liu
L. Saldanha
Intricacies of Statistical Inference and Teachers' Understandings of Them. K. McNeill
J. Krajcik
Middle School Students' Use of Appropriate and Inappropriate Evidence in Writing Scientific Explanations. C. Konold
Designing a Data Analysis Tool for Learners. M. Lovet
N. Chang
Data-Analysis Skills: What and How Are Students Learning? D.L. Schwartz
D. Sears
J. Chang
Reconsidering Prior Knowledge. K. Koedinger
Discussion of Part II: Statistical Reasoning and Data Analysis. Part III: Learning From and Making Decisions With Data.D. Danks
Causal Learning From Observations and Manipulations. P. Sedlmeier
Statistical Reasoning: Valid Intuitions Put to Use. W.B. de Bruin
J. Downs
B. Fischhoff
Adolescents' Thinking About the Risks of Sexual Behaviors. M. Burrage
M. Epstein
P. Shah
Discussion of Part III: Learning From and Making Decisions About Data.