Psychology Of Learning And Motivation by RossPsychology Of Learning And Motivation by Ross

Psychology Of Learning And Motivation


Hardcover | July 15, 2016

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Psychology of Learning and Motivationpublishes 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 regardedPsychology of Learning and Motivationseries
  • Provides an essential reference for researchers and academics in cognitive science
  • Contains information relevant to both applied concerns and basic research
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 Found...
Title:Psychology Of Learning And MotivationFormat:HardcoverDimensions:340 pages, 9.41 × 7.24 × 0.98 inPublished:July 15, 2016Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128047909

ISBN - 13:9780128047903

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Table of Contents

The Many Facets of Individual Differences in Working Memory Capacity

Nash Unsworth

An Exemplar-Retrieval Model of Short-Term Memory Search: Linking Categorization and Probe Recognition

Robert M. Nosofsky

Hybrid Causal Representations

Michael R. Waldmann and Ralf Mayrhofer

Increased Wisdom from the Ashes of Ignorance and Surprise: Numerically-Driven Inferencing, Global Warming, and Other Exemplar Realms

Michael Andrew Ranney, Edward L. Munnich and Lee Nevo Lamprey

How Retrieval Attempts Affect Learning: A Review and Synthesis

Nate Kornell and Kalif E. Vaughn

Prediction, Information Structure, and Good Enough Language Processing

Fernanda Ferreira and Matthew W. Lowder

Separating the Activation, Integration, and Validation Components of Reading

Edward J. O Brien and Anne E. Cook

The Politics of Attention: Differences in Visual Cognition between Liberals and Conservatives

Michael D. Dodd, John R. Hibbing and Kevin B. Smith