This book provides a framework for the fas developing field of artificial intelligence and education. It reconciles the perspectives of intelligent tutoring systems and learning environments. This framework has been constructed partly because the field needs a clearer basis upon which to compare approaches, and partly because of a move away from the `traditional' architecture of tutoring systems.
Inhaltsverzeichnis
General Issues
Guided Discovery Tutoring - Mark Elsom-Cook
Interface Issues for Guided Discovery Learning Environments - Claire O Malley
Generative Student Models - Diana Laurillard
The Limits of Diagnosis and Remediation
Architectures
A Tutor for Procedural Skills - Mark Elsom-Cook and Fiona Spencley
Architecture of a Knowledge-Based Music Tutor - Simon Holland and Mark Elsom-Cook
Extended Computer-Assisted Learning - Mark Elsom-Cook
Minimalism in Guided Discovery
Teaching Dialogues
Analysis of a Tutorial Dialogue - Mark Elsom-Cook
Freedom of Speech - Alison Petrie-Brown
The Concepts of Guidance and Dialogue in Intelligent Tutoring
Arguing with the Tutor - Michael Baker
Student Modelling
Why Bugs Are Not Enough - Sara Hennessy
Formal Semantic Systems and Student Modelling - Pat Fung
Generating Critical Problems in Student Modelling - Rick Evertsz and Mark Elsom-Cook
