Psychology of Learning and Motivation, Volume 66, the latest release in this longstanding series 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 66 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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für Beruf und Forschung
Researchers and students in cognitive psychology
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-0-12-812118-4 (9780128121184)
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Schweitzer Klassifikation
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.
1. Cracking the Problem of Inert Knowledge: Portable Strategies to Access Distant Analogs From Memory
2. The Complexities of Learning Categories Through Comparisons
3. Progress in Modeling Through Distributed Collaboration: Concepts, Tools and Category-Learning Examples
4. Replicability, Response Bias, and Judgments, Oh My! A New Checklist for Evaluating the Perceptual Nature of Action-Specific Effects
5. The Two Faces of Selective Memory Retrieval-Cognitive, Developmental, and Social Processes
6. Prospective Memory in Context
7. What Makes Everyday Scientific Reasoning So Challenging?
