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.

chapter 1|11 pages

The Evolution of Intelligent Tutoring Systems

Dimensions of Design
ByHugh Burns, James W. Parlett

chapter 2|22 pages

Managing Communication Knowledge

ByKathleen M. Swigger

chapter 3|33 pages

Interface Architectures for Intelligent Tutoring Systems

ByJeffrey G. Bonar

chapter 4|35 pages

Design of a Domain-Independent Problem-Solving Instructional Strategy for Intelligent Computer-Assisted Instruction

ByHarold F. O'Neil, Dean A. Slawson, Eva L. Baker

chapter 5|21 pages

Computer-Aided Instructional Design Systems

ByPeter Pirolli

chapter 6|23 pages

Representing, Acquiring, and Reasoning about Tutoring Knowledge

ByBeverly Woolf

chapter 7|26 pages

Generating Coherent Explanations to Answer Students' Questions

ByLiane Acker, James Lester, Art Souther, Bruce Porter

chapter 8|17 pages

From Training to Teaching:

Techniques for Case-Based ITS
ByChristopher K. Riesbeck, Roger C. Schank

chapter 12|20 pages

The Future of Intelligent Tutoring Systems

ByCarol Luckhardt Redfield, Kurt Steuck