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Computational Learning Theories (Record no. 61662)

MARC details
000 -LEADER
fixed length control field 03928nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-031-65898-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112632.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240716s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031658983
-- 978-3-031-65898-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-65898-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number LB1028-1028.25
072 #7 - SUBJECT CATEGORY CODE
Subject category code JN
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code EDU037000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code JN
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gibson, David C.
Relator term author.
Authority record control number (orcid)0000-0003-1053-4690
-- https://orcid.org/0000-0003-1053-4690
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 80703
245 10 - TITLE STATEMENT
Title Computational Learning Theories
Medium [electronic resource] :
Remainder of title Models for Artificial Intelligence Promoting Learning Processes /
Statement of responsibility, etc. by David C. Gibson, Dirk Ifenthaler.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 154 p. 20 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Advances in Analytics for Learning and Teaching,
International Standard Serial Number 2662-2130
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Why ‘Computational’ Learning Theories? -- 2. AI and Learning Processes -- 3. A Complex Hierarchical Framework of Learning -- 4. Piaget and the Ontogeny of Intelligence -- 5. Keller and the ARCS Model of Motivation -- 6. Complexity Theory and Learning -- 7. AI Roles for Enhancing Individual Learning -- 8. Informal Social Learning -- 9. How People Learn -- 10. AI Assisting Individuals as Team Members -- 11. AI Roles for the Team or Organization -- 12. A Network Theory of Culture -- 13. AI Roles in Cultural Learning -- 14. Open Questions.
520 ## - SUMMARY, ETC.
Summary, etc. This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity, offering an updated mechanism of learning, which integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology and cultural studies. The book provides a road map for the development of AI that addresses the central problems of learning theory in the age of artificial intelligence including: optimizing human-machine collaboration promoting individual learning balancing personalization with privacy dealing with biases and promoting fairness explaining decisions and recommendations to build trust and accountability continuously balancing and adapting to individual, team and organizational goals generating and generalizing knowledge across fields and domains The book will be of interest to educational professionals, researchers, and developers of educational technology that utilize artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Research.
9 (RLIN) 59832
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57244
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57583
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 69694
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 68557
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57583
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ifenthaler, Dirk.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 73981
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031658976
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031658990
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031659003
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Analytics for Learning and Teaching,
International Standard Serial Number 2662-2130
9 (RLIN) 76488
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-65898-3">https://doi.org/10.1007/978-3-031-65898-3</a>
912 ## -
-- ZDB-2-EDA
912 ## -
-- ZDB-2-SXED

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