Intelligent Tutoring Systems

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adaptive learning systems
advanced computer-based instruction research
air
Air Force Human Resources Laboratory
automated explanation generation
Automotive Electrical System
Category=JNV
Category=UYQ
Communicat Ion
Da Ta
designers
Developm Ent
Domain Knowledge
domain knowledge modeling
educational software evaluation
Energy Density
environm
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eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
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Expert System
Expository Instance
Expository Tutorial
force
furtherm
High Performance Tasks
high-performance skills training
human
Inquisitory Instance
instructional
Instructional Design
instructional interface design
Intelligent Computer Assisted Instruction
ISD Expert
ITSs
Knowledge Acquisition
Knowledge Rich Domains
laboratory
ore
Reference Concept
resources
Rule Id
Speech Synthesis Device
Teract Ions
Tutoring System
Unit Strip
View Type

Product details

  • ISBN 9780805806823
  • Weight: 740g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Mar 1991
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This is a collection of essays on issues related to the evolutionary design and the practical future of intelligent tutoring systems. Following in the tradition of Foundations of Intelligent Tutoring Systems and Intelligent Tutoring Systems: Lessons Learned, this volume examines some of the visions and near-term issues that have been further explored and better defined since those groundbreaking books first appeared. Questions addressed in this volume include:

*How can knowledge bases generate explanations?
*Will case-based reasoning techniques be worth pursuing in the ITS framework?
*Will high performance skills be successfully taught in an ITS design?
*Are there dimensions of ITS design which the research laboratories are ignoring, and ignoring at the customer's peril?
Of particular importance to those engaged in research and development, this book will be of value to all who wish to apprise themselves of the advances being made in the rapidly evolving field of intelligent tutoring systems.

Hugh Burns, Carol A. Luckhardt, Hugh Burns, James W. Parlett, Carol L. Redfield