Generalization of Knowledge

Regular price €65.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
8th Degree Polynomials
adaptive learning technology
Adjacent Relationships
Agrammatic Aphasia
Area CA3
Asl
Asl Sentence
birds
category
Category=CFD
Category=JMA
Category=JMR
cognitive transfer
critical
Digital Library Resources
distributed cognition
Entorhinal Cortex
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Extinction Training
Fear Conditioning
HCI Research
Inductive Biases
inductive reasoning
Infant Generalization
intelligent
Intelligent Tutoring Systems
judgment
language acquisition mechanisms
lures
membership
Mi Fa
multidisciplinary generalization research
Nonadjacent Dependencies
Object Clefts
Pattern Completion
Pattern Separation
perceptual expertise
Revision Questionnaire
Scene Visualization
similarity
Space H1
Speech Language Pathologist
system
tutoring
Vice Versa

Product details

  • ISBN 9781138975064
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 27 Apr 2016
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

While the notion of generalization fits prominently into cognitive theories of learning, there is surprisingly little research literature that takes an overview of the issue from a broad multifaceted perspective. This volume remedies this by taking a multidisciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences.

Researchers from each perspective explain how their field defines generalization - and what practices, representations, processes, and systems in their field support generalization. They also examine when generalization is detrimental or not needed. A principal aim is the identification of general principles about generalization that can be derived from triangulation across different disciplines and approaches.

Collectively, the contributors’ multidisciplinary approaches to generalization provide new insights into this concept that will, in turn, inform future research into theory and application, including tutoring, assistive technology, and endeavors involving collaboration and distributed cognition.

Marie T. Banich, Donna Caccamise