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100325s1987 caua ob 001 0 eng d |
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|a OCLCE
|b eng
|e pn
|c OCLCE
|d OCLCQ
|d OCLCF
|d OCLCO
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|d DEBSZ
|d OCLCQ
|d MERUC
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|d OCLCQ
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|a 638660677
|a 638660680
|a 897645967
|a 974615525
|a 974662171
|a 1028220074
|a 1153040933
|a 1175732413
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|a 9780934613262
|q (electronic bk.)
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|a 0934613265
|q (electronic bk.)
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|a 9781483221113
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|a 1483221113
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|a (OCoLC)573810414
|z (OCoLC)638660677
|z (OCoLC)638660680
|z (OCoLC)897645967
|z (OCoLC)974615525
|z (OCoLC)974662171
|z (OCoLC)1028220074
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|z (OCoLC)1175732413
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|a dlr
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|a Q336
|b .W46 1987
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|a COM
|x 000000
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|a 006.3
|2 19
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|a 81.68
|2 bcl
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|a Wenger, Etienne,
|d 1952-
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|a Artificial intelligence and tutoring systems :
|b computational and cognitive approaches to the communication of knowledge /
|c by Etienne Wenger ; foreword by John Seely Brown and James Greeno ; [illustrations, Matthew Bennett].
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|a Los Altos, Calif. :
|b Morgan Kaufmann Publishers,
|c �1987.
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|a 1 online resource (xxiii, 486 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references (pages 433-460).
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
|2 pda
|5 MiAaHDL
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|a Print version record.
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|a Front Cover; Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge; Copyright Page; Foreword; Acknowledgments; Table of Contents; Part I: A first glance:introducing the field; Chapter 1. Knowledge communication systems; 1.1 Implicit versus explicit encoding of knowledge; 1.2 Knowledge communication; 1.3 Practical and theoretical implications; 1.4 An interdisciplinary enterprise; Summary and conclusion; Bibliographical notes; Chapter 2. Basic issues; 2.1 Domain knowledge: the object of communication
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|a 2.2 Student model: the recipient of communication2.3 Pedagogical knowledge: the skill of communication; 2.4 Interface: the form of communication; Summary and conclusion; Bibliographical notes; Part II: A panorama:people, ideas, and systems; Chapter 3. Tutorial dialogues: from semantic netsto mental models; 3.1 SCHOLAR: launching a new paradigm; 3.2 Natural reasoning and tutorial dialogues; 3.3 WHY: the Socratic method; 3.4 From local strategies to multiple mental models; Summary and conclusion; Bibliographical notes; Chapter 4. SOPHIE:from quantitativeto qualitative to qualitative simulation
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|a 4.1 Simulation: dialogues and learning environments4.2 Natural-language interface: semantic grammars; 4.3 SOPHIE-I: simulation-based inferences; 4.4 SOPHIE-II: an articulate expert; 4.5 SOPHIE-III: humanlike reasoning; 4.6 Mental models: qualitative reasoning; Summary and conclusion; Bibliographical notes; Chapter 5. Interactive simulations: communicatingmental models; 5.1 STEAMER: simulation and abstraction; 5.2 QUEST: progressions of qualitative models; Summary and conclusion; Bibliographical notes; Chapter 6. Existing CAI traditions:other early contributions
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|a 6.1 Early attempts to tailor problem-solving experiences6.2 Pedagogical experiments: teaching expertise; Summary and conclusion; Bibliographical notes; Chapter 7. Learning environments:coaching ongoing activities; 7.1 LOGO: knowledge communication as learning; 7.2 WEST: relevance and memorability of interventions; 7.3 The design of learning environments; 7.4 WUSOR: toward learner-oriented models of expertise; 7.5 Architectures organized around curricula; Summary and conclusion; Bibliographical notes; Chapter 8. Bugs in procedural skills:the 'buggy repair step' story
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|a 8.1 BUGGY: an enumerative theory of bugs8.2 DEBUGGY: a diagnostic system; 8.3 REPAIR theory: a generative theory of bugs; 8.4 STEP theory: a learning model of bug generation; Summary and conclusion; Bibliographical notes; Chapter 9. More on student modeling: toward domain-independentmechanisms; 9.1 PSM/ACE: interactive diagnosis; 9.2 LMS: inferential diagnosis with rules and mal-rules; 9.3 PIXIE: generating mal-rules; 9.4 UMFE: a generic modeling subsystem; Summary and conclusion; Bibliographical notes; Chapter 10. Bug reconstruction:beyond libraries of bugs
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|a Artificial Intelligence and Tutoring Systems.
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546 |
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|a English.
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650 |
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|a Artificial intelligence
|x Data processing.
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650 |
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|a Computer-assisted instruction.
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650 |
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|a Knowledge, Theory of.
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650 |
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2 |
|a Computer-Assisted Instruction
|0 (DNLM)D003194
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650 |
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6 |
|a Intelligence artificielle
|x Informatique.
|0 (CaQQLa)201-0131916
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650 |
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|a Enseignement assist�e par ordinateur.
|0 (CaQQLa)201-0027485
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650 |
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|a Th�eorie de la connaissance.
|0 (CaQQLa)201-0004936
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650 |
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|a epistemology.
|2 aat
|0 (CStmoGRI)aat300054288
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650 |
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7 |
|a COMPUTERS
|x General.
|2 bisacsh
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650 |
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|a Artificial intelligence
|x Data processing
|2 fast
|0 (OCoLC)fst00817255
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650 |
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7 |
|a Computer-assisted instruction
|2 fast
|0 (OCoLC)fst00872725
|
650 |
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7 |
|a Knowledge, Theory of
|2 fast
|0 (OCoLC)fst00988194
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650 |
1 |
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|a Kunstmatige intelligentie.
|2 gtt
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650 |
1 |
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|a Computergestuurd onderwijs.
|2 gtt
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776 |
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|i Print version:
|a Wenger, Etienne, 1952-
|t Artificial intelligence and tutoring systems.
|d Los Altos, Calif. : Morgan Kaufmann Publishers, �1987
|w (DLC) 87003170
|w (OCoLC)15415519
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856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780934613262
|z Texto completo
|