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Psychology of Learning and Motivation, Volume 57 [Hardback]

Series edited by (Professor of Psychology and of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign)
  • Formāts: Hardback, 316 pages, height x width: 229x152 mm, weight: 510 g
  • Sērija : Psychology of Learning and Motivation
  • Izdošanas datums: 11-Jul-2012
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0123942934
  • ISBN-13: 9780123942937
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 316 pages, height x width: 229x152 mm, weight: 510 g
  • Sērija : Psychology of Learning and Motivation
  • Izdošanas datums: 11-Jul-2012
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0123942934
  • ISBN-13: 9780123942937
Citas grāmatas par šo tēmu:
The Psychology of Learning and Motivation series publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving.

* Volume 57 of the highly regarded Psychology of Learning and Motivation series * An essential reference for researchers and academics in cognitive science * Relevant to both applied concerns and basic research

Recenzijas

Praise for the Series: "A remarkable number of landmark papers... An important collection of theory and data." --Contemporary Psychology

Papildus informācija

The Psychology of Learning and Motivation series publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving.
Contributors ix
1 Meta-Cognitive Myopia and the Dilemmas of Inductive-Statistical Inference
1(56)
Klaus Fiedler
1 Introduction
3(4)
2 Conspicuous Cases of Myopia in Judgment and Decision Making
7(2)
3 Meta-Cognitive Inability to Discard Irrelevant Information (Level A)
9(3)
4 Utilizing Selectively Sampled Information (Level B)
12(4)
5 Myopia and Biases in Conditional Inference (Level C)
16(10)
6 Myopia and Sample-Size Neglect (Level D)
26(9)
7 MM for Category Levels and Aggregation Effects (Level E)
35(7)
8 Origins and Adaptive Consequences of MM
42(3)
9 Concluding Remarks
45(1)
References
46(11)
2 Relations Between Memory and Reasoning
57(46)
Evan Heit
Caren M. Rotello
Brett K. Hayes
1 Introduction
58(2)
2 Applying Memory Methods to Reasoning
60(18)
3 Studying Memory and Reasoning Together
78(16)
4 Conclusion
94(2)
Acknowledgements
96(1)
References
96(7)
3 The Visual World in Sight and Mind: How Attention and Memory Interact to Determine Visual Experience
103(44)
James R. Brockmole
Christopher C. Davoli
Deborah A. Cronin
1 Introduction
104(3)
2 Attention and the Encoding of Information in Visual Working Memory
107(10)
3 Attention and the Maintenance of Information in Visual Working Memory
117(6)
4 Visual Working Memory and the Guidance of Attention
123(5)
5 Attention and Visual Long-Term Memory
128(4)
6 Concluding Remarks
132(3)
References
135(12)
4 Spatial Thinking and STEM Education: When, Why, and How?
147(36)
David H. Uttal
Cheryl A. Cohen
1 Introduction
148(3)
2 STEM Learning and Spatial Training: A Skeptical First Look
151(1)
3 What is Spatial Thinking?
152(1)
4 Relations between Spatial Thinking and STEM Achievement and Attainment
153(4)
5 Spatial Cognition and Expert Performance in STEM Disciplines
157(5)
6 The Nature of Expertise in Spatially Demanding STEM Disciplines
162(6)
7 The Role of Spatial Abilities in Early STEM Learning
168(1)
8 The Malleability of Spatial Thinking
169(6)
9 Models of Spatial Training for STEM
175(2)
10 Conclusions: Spatial Training Really Does Have the Potential to Improve STEM Learning
177(1)
Acknowledgements
178(1)
References
178(5)
5 Emotions During the Learning of Difficult Material
183(44)
Arthur C. Graesser
Sidney D'Mello
1 Introduction
184(7)
2 Learning Materials and Tasks
191(5)
3 Emotions that Occur During Difficult Learning Materials and Tasks
196(18)
4 Responding to and Eliciting Student Emotions
214(3)
5 Conclusions
217(2)
Acknowledgements
219(1)
References
219(8)
6 Specificity and Transfer of Learning
227(28)
Alice F. Healy
Erica L. Wohldmann
1 Introduction
228(1)
2 Definitions and Contrasts
228(1)
3 Measuring Transfer
229(2)
4 Empirical Studies
231(19)
5 Conclusions
250(1)
Acknowledgements
251(1)
References
251(4)
7 What Do Words Do? Toward a Theory of Language-Augmented Thought
255(44)
Gary Lupyan
1 Introduction
256(3)
2 From Labeling Our Concepts to Language Augmented Cognition
259(3)
3 Eskimo Snow, William James, and Grecious Aliens
262(5)
4 Effects of Language on Visual Memory: The Categorization-Memory Tradeoff
267(4)
5 Effects of Labels Run Deep: Penetrability of Visual Processing by Language
271(6)
6 Language Augmented Thought: A Model
277(10)
7 How Special are Labels?
287(4)
8 So, What Do Words Do?
291(2)
References
293(6)
Index 299(8)
Contents of Recent Volumes 307
Brian H. Ross is a Professor of Psychology and of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. His research areas have included problem solving, complex learning, categorization, reasoning, memory, and mathematical modeling. He has been funded by the National Science Foundation, the Air Force Office of Scientific Research, and the Institute of Education Sciences. Ross has been Editor-in-Chief of the journal Memory & Cognition, Chair of the Governing Board of the Psychonomic Society, and co-author of a textbook, Cognitive Psychology. He has held temporary leadership positions on the University of Illinois campus as Department Head of Psychology, Associate Dean of the Sciences, and Dean of Liberal Arts and Sciences. Ross has degrees from Brown University (B.S., Honors in Psychology), Rutgers University (M.S. in Mathematical Statistics), Yale University (M.S. in Psychology), and Stanford University (PhD.). Ross has been Editor of The Psychology of Learning and Motivation since 2000.