Intelligent tutoring systems: evolutions in design
L. Erlbaum, Mar 1, 1991 - Psychology - 297 pages
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Evaluating Communication Knowledge
19 other sections not shown
Other editions - View all
answer application approach Artificial Intelligence assert goal behavior Bonar case-based reasoning change cost chlorophyll cognitive communication complex components curriculum described device diagnosis dialogue discourse display Expository DMAP domain expert domain knowledge domain-independent instructional strategies educational environment evaluation example Expert CML expert system expertise explanations expository tutorial Failure Rate Figure function graphics high performance Hillsdale Human-Computer Interaction ICAI implementation INFLITE instantiations instructional design instructional theory Intelligent tutoring systems interaction interface ISD Expert ITSs knowledge base knowledge engineering knowledge representation Lawrence Erlbaum Associates learner learning malfunction probability MATISSE methodology module MYCIN natural language NEOMYCIN novice object operations outcomes particular phase photophosphorylation photosynthesis plans presentation problem problem-solving procedure programming question reference concept represent rule ID simulation situations skills solving specific structure student model teaching techniques technology assessment theory training systems troubleshooting view type viewpoint