Instructional Models in Computer-Based Learning Environments

✍ Scribed by Sanne Dijkstra, Hein P. M. Krammer, Jeroen J. G. van Merriënboer (auth.), Sanne Dijkstra, Hein P. M. Krammer, Jeroen J. G. van Merriënboer (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 1992
Tongue: English
Leaves: 508
Series: NATO ASI Series 104
Edition: 1
Category: Library

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✦ Synopsis

In the last decade there have been rapid developments in the field of computer-based learning environments. A whole new generation of computer-based learning environments has appeared, requiring new approaches to design and development. One main feature of current systems is that they distinguish different knowledge bases that are assumed to be necessary to support learning processes. Current computer-based learning environments often require explicit representations of large bodies of knowledge, including knowledge of instruction. This book focuses on instructional models as explicit, potentially implementable representations of knowledge concerning one or more aspects of instruction. The book has three parts, relating to different aspects of the knowledge that should be made explicit in instructional models: knowledge of instructional planning, knowledge of instructional strategies, and knowledge of instructional control. The book is based on a NATO Advanced Research Workshop held at the University of Twente, The Netherlands in July 1991.

✦ Table of Contents

Front Matter....Pages I-X
Instructional models in computer-based learning environments....Pages 1-13
An introduction to instructional transaction theory....Pages 15-41
The useful representation of instructional objectives: A task analysis of task analysis....Pages 43-59
The significance of prescriptive decision theory for instructional design expert systems....Pages 61-81
Transforming knowledge into learnable content....Pages 83-96
Modeling requirements for intelligent training systems....Pages 97-111
G’s dynamic learner model....Pages 113-125
The description of subject matter and instructional methods for computer-based learning....Pages 127-141
The study of problem characteristics in programming tutors....Pages 143-152
PEPE: A computational framework for a content planner....Pages 153-170
A generic task model for instruction....Pages 171-194
An instructional strategy to teach a cognitive strategy via intelligent computer-assisted instruction: A design....Pages 195-212
A descriptive model of instructional processes in interactive learning environments for elementary computer programming....Pages 213-228
Two models of classroom learning using a communal database....Pages 229-241
Adaptive tutoring of arithmetic skills....Pages 243-261
Cognitive development based on process-learning environments....Pages 263-277
Instructional strategies for teaching database query languages....Pages 279-289
Extensions of intelligent tutoring paradigms to support collaborative learning....Pages 291-311
Contextual module analysis in instructional design....Pages 313-322
IByD: Computer support for developing unit plans: A first study....Pages 323-348
(S)GML-based hypermedia: Generic resources for exploratory learning....Pages 349-364
Hypertext as a strategy for teaching and assessing knowledge representation....Pages 365-384
Cognitive flexibility theory and its implications for designing CBI....Pages 385-403
Exploratory learning from computer-based systems....Pages 405-419
A cooperative system for the interactive debugging of novice programming errors....Pages 421-444
Programming languages and dynamic instructional tools: Addressing students’ knowledge base....Pages 445-457
The instructional design of CAI for problem solving in mathematics....Pages 459-469
Dynamic interfaces for computer-based simulations in pharmacology....Pages 471-486
Implementing learner control in an automated instructional system....Pages 487-498
Back Matter....Pages 499-515

✦ Subjects

Education (general); Systems Theory, Control; Theory of Computation; Artificial Intelligence (incl. Robotics)

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