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E-grāmata: Psychology of Learning and Motivation

Series edited by (Professor of Psychology and of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign)
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Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving.

Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 65 includes chapters on such varied topics as prospective memory, metacognitive information processing, basic memory processes during reading, working memory capacity, attention, perception and memory, short-term memory, language processing, and causal reasoning.

  • Presents the latest information in the highly regarded Psychology of Learning and Motivation series
  • Provides an essential reference for researchers and academics in cognitive science
  • Contains information relevant to both applied concerns and basic research

Papildus informācija

An authoritative reference on the psychology of learning and motivation that presents empirical and theoretical contributions in cognitive and experimental psychology
1 Cracking the Problem of Inert Knowledge: Portable Strategies to Access Distant Analogs From Memory
1(42)
Maximo Trench
Ricardo A. Minervino
1 Introduction
2(2)
2 Diagnosing Our Ability to Retrieve Analogous Situations
4(17)
3 Overcoming Human Limitations for Retrieving Distant Analogs
21(14)
4 Conclusions
35(8)
References
37(6)
2 The Complexities of Learning Categories Through Comparisons
43(36)
Erin Jones Higgins
1 Introduction
44(2)
2 Analogical Reasoning as a Lens for Understanding the Comparison Benefits
46(7)
3 Effects of Item Order on Learning
53(3)
4 Integrating the Analogical Reasoning and Item Order Research Into a Coherent Framework
56(2)
5 Testing the Highlighter Hypothesis Through a Series of Studies
58(12)
6 Implications and Conclusions
70(9)
Acknowledgments
75(1)
References
75(4)
3 Progress in Modeling Through Distributed Collaboration: Concepts, Tools and Category-Learning Examples
79(38)
Andy J. Wills
Garret O'Connell
Charlotte E.R. Edmunds
Angus B. Inkster
1 Introduction
80(1)
2 Concepts
81(11)
3 Introduction to catlearn
92(2)
4 Examples
94(16)
5 Overview and Conclusion
110(7)
Acknowledgments
112(1)
References
112(5)
4 Replicability, Response Bias, and Judgments, Oh My! A New Checklist for Evaluating the Perceptual Nature of Action-Specific Effects
117(50)
Jessica K. Witt
1 Introduction
118(1)
2 Brief Overview of Action-Specific Methods and Effects
119(3)
3 Checklist Overview and Caveats
122(2)
4 Replicability and Other Statistical Issues
124(4)
5 Response Bias
128(13)
6 Judgment-Based Effects
141(12)
7 Moving Forward: Future Directions for Research
153(7)
8 Conclusion
160(7)
References
160(7)
5 The Two Faces of Selective Memory Retrieval---Cognitive, Developmental, and Social Processes
167(44)
Karl-Heinz T. Bauml
Alp Asian
Magdalena Abel
1 Selective Memory Retrieval Can Be Detrimental for Other Memories
168(5)
2 Can Selective Memory Retrieval Also Be Beneficial for Other Memories?
173(6)
3 The Two Faces of Selective Memory Retrieval
179(8)
4 Developmental Trajectories of the Two Effects of Selective Retrieval
187(6)
5 The Two Faces of Selective Retrieval in Social Settings
193(4)
6 Conclusions and Future Directions
197(6)
7 Take Home Message
203(8)
References
204(7)
6 Prospective Memory in Context
211(40)
Rebekah E. Smith
1 Introduction
212(1)
2 Methodological History
212(4)
3 The Role of Context in Prospective Memory Performance
216(4)
4 Context and Cost to the Ongoing Task
220(20)
5 Initiating Preparatory Attentional Processing: The Role of Transitions
240(2)
6 Conclusions and Avenues for Future Research
242(9)
References
245(6)
7 What Makes Everyday Scientific Reasoning So Challenging?
251(50)
Priti Shah
Audrey Michal
Amira Ibrahim
Rebecca Rhodes
Fernando Rodriguez
1 Introduction
252(5)
2 Defining Quality Evidence Evaluation as Theory-Evidence Coordination
257(10)
3 Heuristic (System 1) Thinking Versus Analytic (System 2) Thinking
267(3)
4 Content and Communication of Evidence
270(6)
5 Individual Differences
276(3)
6 Beyond Heuristic Versus Analytic Thinking: Specific Evidence Evaluation Skills
279(2)
7 Improving Evidence Evaluation
281(5)
8 Concluding Thoughts
286(15)
Acknowledgments
289(1)
References
289(12)
Contents of Previous Volumes 301
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.