Instructional Models in Computer-Based Learning Environments [electronic resource] / edited by Sanne Dijkstra, Hein P.M. Krammer, Jeroen J.G. van Merrienboer.
Erişim Adresi
ISBN
9783662028407
Dil Kodu
İngilizce
Yer Numarası
DK/15444
Basım Bildirimi
1st ed. 1992.
Yayın Bilgisi
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1992.
Fiziksel Niteleme
X, 516 p. online resource.
Dizi
NATO ASI Subseries F:, Computer and Systems Sciences ; 104
İçindekiler Notu
Instructional models in computer-based learning environments -- Instructional models in computer-based learning environments -- Content and delivery planning -- An introduction to instructional transaction theory -- The useful representation of instructional objectives: A task analysis of task analysis -- The significance of prescriptive decision theory for instructional design expert systems -- Transforming knowledge into learnable content -- Modeling requirements for intelligent training systems -- G’s dynamic learner model -- The description of subject matter and instructional methods for computer-based learning -- The study of problem characteristics in programming tutors -- PEPE: A computational framework for a content planner -- A generic task model for instruction -- Instructional strategies, methods, and techniques -- An instructional strategy to teach a cognitive strategy via intelligent computer-assisted instruction: A design -- A descriptive model of instructional processes in interactive learning environments for elementary computer programming -- Two models of classroom learning using a communal database -- Adaptive tutoring of arithmetic skills -- Cognitive development based on process-learning environments -- Instructional strategies for teaching database query languages -- Extensions of intelligent tutoring paradigms to support collaborative learning -- Contextual module analysis in instructional design -- IByD: Computer support for developing unit plans: A first study -- (S)GML-based hypermedia: Generic resources for exploratory learning -- Hypertext as a strategy for teaching and assessing knowledge representation -- The delicate balance between learner and system control -- Cognitive flexibility theory and its implications for designing CBI -- Exploratory learning fromcomputer-based systems -- A cooperative system for the interactive debugging of novice programming errors -- Programming languages and dynamic instructional tools: Addressing students’ knowledge base -- The instructional design of CAI for problem solving in mathematics -- Dynamic interfaces for computer-based simulations in pharmacology -- Implementing learner control in an automated instructional system.
Özet, vb.
In the last decade there have been rapid developments in the field of computer-based learning environments. A whole new generation of computer-based learning environments has appeared, requiring new approaches to design and development. One main feature of current systems is that they distinguish different knowledge bases that are assumed to be necessary to support learning processes. Current computer-based learning environments often require explicit representations of large bodies of knowledge, including knowledge of instruction. This book focuses on instructional models as explicit, potentially implementable representations of knowledge concerning one or more aspects of instruction. The book has three parts, relating to different aspects of the knowledge that should be made explicit in instructional models: knowledge of instructional planning, knowledge of instructional strategies, and knowledge of instructional control. The book is based on a NATO Advanced Research Workshop held at the University of Twente, The Netherlands in July 1991.
Konu
Education.
System theory.
Control theory.
Computer science.
Artificial intelligence.
Education.
Systems Theory, Control.
Theory of Computation.
Artificial Intelligence.
System theory.
Control theory.
Computer science.
Artificial intelligence.
Education.
Systems Theory, Control.
Theory of Computation.
Artificial Intelligence.
Kurum Adı
Eseri Alıntıla
Referansları kullanmadan önce gözden geçirmeniz ve varsa gerekli düzeltmeleri yapmanız önerilir.
Dijital Kaynak
MARC Görünümü
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245 10|aInstructional Models in Computer-Based Learning Environments|h[electronic resource] /|cedited by Sanne Dijkstra, Hein P.M. Krammer, Jeroen J.G. van Merrienboer.
250 |a1st ed. 1992.
264 1|aBerlin, Heidelberg :|bSpringer Berlin Heidelberg :|bImprint: Springer,|c1992.
300 |aX, 516 p.|bonline resource.
336 |atext|btxt|2rdacontent
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338 |aonline resource|bcr|2rdacarrier
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490 1 |aNATO ASI Subseries F:, Computer and Systems Sciences ;|v104
505 0 |aInstructional models in computer-based learning environments -- Instructional models in computer-based learning environments -- Content and delivery planning -- An introduction to instructional transaction theory -- The useful representation of instructional objectives: A task analysis of task analysis -- The significance of prescriptive decision theory for instructional design expert systems -- Transforming knowledge into learnable content -- Modeling requirements for intelligent training systems -- G’s dynamic learner model -- The description of subject matter and instructional methods for computer-based learning -- The study of problem characteristics in programming tutors -- PEPE: A computational framework for a content planner -- A generic task model for instruction -- Instructional strategies, methods, and techniques -- An instructional strategy to teach a cognitive strategy via intelligent computer-assisted instruction: A design -- A descriptive model of instructional processes in interactive learning environments for elementary computer programming -- Two models of classroom learning using a communal database -- Adaptive tutoring of arithmetic skills -- Cognitive development based on process-learning environments -- Instructional strategies for teaching database query languages -- Extensions of intelligent tutoring paradigms to support collaborative learning -- Contextual module analysis in instructional design -- IByD: Computer support for developing unit plans: A first study -- (S)GML-based hypermedia: Generic resources for exploratory learning -- Hypertext as a strategy for teaching and assessing knowledge representation -- The delicate balance between learner and system control -- Cognitive flexibility theory and its implications for designing CBI -- Exploratory learning fromcomputer-based systems -- A cooperative system for the interactive debugging of novice programming errors -- Programming languages and dynamic instructional tools: Addressing students’ knowledge base -- The instructional design of CAI for problem solving in mathematics -- Dynamic interfaces for computer-based simulations in pharmacology -- Implementing learner control in an automated instructional system.
520 |aIn the last decade there have been rapid developments in the field of computer-based learning environments. A whole new generation of computer-based learning environments has appeared, requiring new approaches to design and development. One main feature of current systems is that they distinguish different knowledge bases that are assumed to be necessary to support learning processes. Current computer-based learning environments often require explicit representations of large bodies of knowledge, including knowledge of instruction. This book focuses on instructional models as explicit, potentially implementable representations of knowledge concerning one or more aspects of instruction. The book has three parts, relating to different aspects of the knowledge that should be made explicit in instructional models: knowledge of instructional planning, knowledge of instructional strategies, and knowledge of instructional control. The book is based on a NATO Advanced Research Workshop held at the University of Twente, The Netherlands in July 1991.
532 8 |aAccessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format.
532 8 |aInaccessible, or known limited accessibility
532 8 |aNo reading system accessibility options actively disabled
532 8 |aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0|aEducation.
650 0|aSystem theory.
650 0|aControl theory.
650 0|aComputer science.
650 0|aArtificial intelligence.
650 14|aEducation.
650 24|aSystems Theory, Control.
650 24|aTheory of Computation.
650 24|aArtificial Intelligence.
700 1 |aDijkstra, Sanne.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aKrammer, Hein P.M.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aMerrienboer, Jeroen J.G. van.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
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776 08|iPrinted edition:|z9783540561590
776 08|iPrinted edition:|z9783642081484
776 08|iPrinted edition:|z9783662028414
830 0|aNATO ASI Subseries F:, Computer and Systems Sciences ;|v104
856 40|uhttps://doi.org/10.1007/978-3-662-02840-7
912 |aZDB-2-SHU
912 |aZDB-2-SXED
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950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aEducation (R0) (SpringerNature-43721)
001 814205
003 TR_AnAIT
005 20260130220912
007 cr nn 008mamaa
008 130806s1992 gw | s |||| 0|eng d
020 |a9783662028407|9978-3-662-02840-7
024 7 |a10.1007/978-3-662-02840-7|2doi
041 |aeng
049 |aTürk Tarih Kurumu Kütüphanesi
050 4|aL1-991
072 7|aJN|2bicssc
072 7|aEDU000000|2bisacsh
072 7|aJN|2thema
082 04|a370|223
090 |aDK/15444
245 10|aInstructional Models in Computer-Based Learning Environments|h[electronic resource] /|cedited by Sanne Dijkstra, Hein P.M. Krammer, Jeroen J.G. van Merrienboer.
250 |a1st ed. 1992.
264 1|aBerlin, Heidelberg :|bSpringer Berlin Heidelberg :|bImprint: Springer,|c1992.
300 |aX, 516 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aNATO ASI Subseries F:, Computer and Systems Sciences ;|v104
505 0 |aInstructional models in computer-based learning environments -- Instructional models in computer-based learning environments -- Content and delivery planning -- An introduction to instructional transaction theory -- The useful representation of instructional objectives: A task analysis of task analysis -- The significance of prescriptive decision theory for instructional design expert systems -- Transforming knowledge into learnable content -- Modeling requirements for intelligent training systems -- G’s dynamic learner model -- The description of subject matter and instructional methods for computer-based learning -- The study of problem characteristics in programming tutors -- PEPE: A computational framework for a content planner -- A generic task model for instruction -- Instructional strategies, methods, and techniques -- An instructional strategy to teach a cognitive strategy via intelligent computer-assisted instruction: A design -- A descriptive model of instructional processes in interactive learning environments for elementary computer programming -- Two models of classroom learning using a communal database -- Adaptive tutoring of arithmetic skills -- Cognitive development based on process-learning environments -- Instructional strategies for teaching database query languages -- Extensions of intelligent tutoring paradigms to support collaborative learning -- Contextual module analysis in instructional design -- IByD: Computer support for developing unit plans: A first study -- (S)GML-based hypermedia: Generic resources for exploratory learning -- Hypertext as a strategy for teaching and assessing knowledge representation -- The delicate balance between learner and system control -- Cognitive flexibility theory and its implications for designing CBI -- Exploratory learning fromcomputer-based systems -- A cooperative system for the interactive debugging of novice programming errors -- Programming languages and dynamic instructional tools: Addressing students’ knowledge base -- The instructional design of CAI for problem solving in mathematics -- Dynamic interfaces for computer-based simulations in pharmacology -- Implementing learner control in an automated instructional system.
520 |aIn the last decade there have been rapid developments in the field of computer-based learning environments. A whole new generation of computer-based learning environments has appeared, requiring new approaches to design and development. One main feature of current systems is that they distinguish different knowledge bases that are assumed to be necessary to support learning processes. Current computer-based learning environments often require explicit representations of large bodies of knowledge, including knowledge of instruction. This book focuses on instructional models as explicit, potentially implementable representations of knowledge concerning one or more aspects of instruction. The book has three parts, relating to different aspects of the knowledge that should be made explicit in instructional models: knowledge of instructional planning, knowledge of instructional strategies, and knowledge of instructional control. The book is based on a NATO Advanced Research Workshop held at the University of Twente, The Netherlands in July 1991.
532 8 |aAccessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format.
532 8 |aInaccessible, or known limited accessibility
532 8 |aNo reading system accessibility options actively disabled
532 8 |aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0|aEducation.
650 0|aSystem theory.
650 0|aControl theory.
650 0|aComputer science.
650 0|aArtificial intelligence.
650 14|aEducation.
650 24|aSystems Theory, Control.
650 24|aTheory of Computation.
650 24|aArtificial Intelligence.
700 1 |aDijkstra, Sanne.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aKrammer, Hein P.M.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aMerrienboer, Jeroen J.G. van.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9783540561590
776 08|iPrinted edition:|z9783642081484
776 08|iPrinted edition:|z9783662028414
830 0|aNATO ASI Subseries F:, Computer and Systems Sciences ;|v104
856 40|uhttps://doi.org/10.1007/978-3-662-02840-7
912 |aZDB-2-SHU
912 |aZDB-2-SXED
912 |aZDB-2-BAE
950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aEducation (R0) (SpringerNature-43721)
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