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Thinking with data

Thinking with data

Material type
단행본
Personal Author
Lovett, Marsha. Shah, Priti , 1968-
Title Statement
Thinking with data / edited by Marsha C. Lovett, Priti Shah.
Publication, Distribution, etc
New York :   Lawrence Erlbaum Associates ,   c2007.  
Physical Medium
xxi, 466 p : ill. ; 24 cm.
Series Statement
Carnegie Mellon symposia on cognition
ISBN
9780805854213 (hbk.) 0805854215 (hbk.) 9780805854220 (pbk.) 0805854223 (pbk.)
General Note
"This volume presents the papers given at the 33rd Carnegie Symposium on Cognition, held June 4-6, 2005: Thinking With Data"--P. xv.  
Content Notes
Pt. 1. Reasoning about uncertainty and variation -- pt. 2. Statistical reasoning and data analysis -- pt. 3. Learning from and making decisions with data.
Bibliography, Etc. Note
Includes bibliographical references and indexes.
Subject Added Entry-Topical Term
Thought and thinking -- Data processing -- Congresses. Cognition -- Data processing -- Congresses. Human information processing -- Congresses. Uncertainty (Information theory) -- Congresses. Multivariate analysis -- Congresses. Cognitive learning -- Data processing -- Congresses. Distributed cognition -- Congresses.
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010 ▼a 2007298433
020 ▼a 9780805854213 (hbk.)
020 ▼a 0805854215 (hbk.)
020 ▼a 9780805854220 (pbk.)
020 ▼a 0805854223 (pbk.)
035 ▼a (KERIS)REF000013594906
040 ▼a BTCTA ▼c BTCTA ▼d BAKER ▼d ORU ▼d DLC ▼d 211009
042 ▼a lccopycat
050 0 0 ▼a BF444 ▼b .C37 2007
082 0 0 ▼a 153.4 ▼2 22
090 ▼a 153.4 ▼b C289t
111 2 ▼a Carnegie Symposium on Cognition ▼n (33rd : ▼d 2004 : ▼c Carnegie-Mellon University)
245 1 0 ▼a Thinking with data / ▼c edited by Marsha C. Lovett, Priti Shah.
260 ▼a New York : ▼b Lawrence Erlbaum Associates , ▼c c2007.
300 ▼a xxi, 466 p : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Carnegie Mellon symposia on cognition
500 ▼a "This volume presents the papers given at the 33rd Carnegie Symposium on Cognition, held June 4-6, 2005: Thinking With Data"--P. xv.
504 ▼a Includes bibliographical references and indexes.
505 0 ▼a Pt. 1. Reasoning about uncertainty and variation -- pt. 2. Statistical reasoning and data analysis -- pt. 3. Learning from and making decisions with data.
650 0 ▼a Thought and thinking ▼x Data processing ▼v Congresses.
650 0 ▼a Cognition ▼x Data processing ▼v Congresses.
650 0 ▼a Human information processing ▼v Congresses.
650 0 ▼a Uncertainty (Information theory) ▼v Congresses.
650 0 ▼a Multivariate analysis ▼v Congresses.
650 0 ▼a Cognitive learning ▼x Data processing ▼v Congresses.
650 0 ▼a Distributed cognition ▼v Congresses.
700 1 ▼a Lovett, Marsha.
700 1 ▼a Shah, Priti , ▼d 1968-
945 ▼a KINS

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 153.4 C289t Accession No. 111513396 Availability Available Due Date Make a Reservation Service B M

Contents information

Author Introduction

Marsha C. Lovett(엮은이)

카네기멜런대학교의 Eberly Center for Teaching Excellence 교수발달 담당 부소장, 심리학과 강의전담 조교수

Priti Shah(엮은이)

Information Provided By: : Aladin

Table of Contents

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.


Information Provided By: : Aladin

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