Intelligent Tutoring Systems (eBook, PDF)

Evolutions in Design
Redaktion: Burns, Hugh; Redfield, Carol L.; Parlett, James W.; Luckhardt, Carol A.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 312
• Erscheinungstermin: 14. Januar 2014
• Englisch
• ISBN-13: 9781317783718
• Artikelnr.: 40343857

Autorenporträt

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

Inhaltsangabe

Contents: H.L. Burns
Jr.
J.W. Parlett
The Evolution of Intelligent Tutoring Systems: Dimension of Design. K.M. Swigger
Managing Communication Knowledge. J. Bonar
Interface Architectures for Intelligent Tutoring Systems. H.F. O'Neil
Jr.
D.A. Slawson
E.L. Baker
Design of a Domain-Independent Problem- Solving Instructional Strategy for Intelligent Computer-Assisted Instruction. P. Pirolli
Computer-Aided Instructional Design Systems. B. Woolf
Representing
Acquiring
and Reasoning About Tutoring Knowledge. L. Acker
J. Lester
A. Souther
B. Porter
Generating Coherent Explanations to Answer Students' Questions. C.K. Riesbeck
R.C. Schank
From Training to Teaching: Techniques for Case-Based ITS. P.K. Fink
The Role of Domain Knowledge in the Design of an Intelligent Tutoring System. W. Regian
Representing and Teaching High-Performance Tasks Within Intelligent Tutoring Systems. E.L. Baker
Technology Assessment: Policy and Methodological Issues for Training. C.A.L. Redfield
K. Steuck
The Future of Intelligent Tutoring Systems.