Fr. 160.00

Psychology of Learning and Motivation

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more

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 61 includes chapters on such varied topics as problems of Induction, motivated reasoning and rationality, probability matching, cognition in the attention economy, masked priming, motion extrapolation and testing memory

List of contents

1. Descriptive and Inferential Problems of Induction: Toward a Common Framework
2. What Does it Mean to be Biased: Motivated Reasoning and Rationality
3. Probability Matching, Fast and Slow
4. Cognition in the Attention Economy
5. Memory Recruitment: A Backwards Idea about Masked Priming
6. Role of Knowledge in Motion Extrapolation: The Relevance of an Approach Contrasting Experts and Novices
7. Retrieval-Based Learning: An Episodic Context Account
8. Consequences of Testing Memory

Product details

Assisted by Brian H. Ross (Editor), Ross Brian H. (Editor of the series)
Publisher Elsevier Science & Technology
 
Languages English
Product format Hardback
Released 12.05.2014
 
EAN 9780128002834
ISBN 978-0-12-800283-4
Dimensions 152 mm x 19 mm x 229 mm
Weight 610 g
Series Psychology of Learning and Motivation
Subjects Humanities, art, music > Psychology > Theoretical psychology

PSYCHOLOGY / Cognitive Psychology & Cognition, Learning, Cognition and cognitive psychology, Cognitivism, cognitive theory

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.