Learning Issues for Intelligent Tutoring Systems
Published on 13. June 1988
Book
Paperback/Softback
XIX, 307 pages
978-0-387-96616-8 (ISBN)
Description
Learning Issues for Intelligent Tutoring Systems
arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems.
Learning Issues for Intelligent Tutoring
Systems
is an important and useful introduction to this rapidly changing field.
More details
Series
Edition
1988 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIX, 307 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-0-387-96616-8 (9780387966168)
DOI
10.1007/978-1-4684-6350-7
Schweitzer Classification
Other editions
Additional editions
Heinz Mandl | Alan Lesgold
Learning Issues for Intelligent Tutoring Systems
E-Book
12/2012
Springer
€96.29
Available for download
Content
1. The Computer as a Tool for Learning Through Reflection.- 2. Toward a Theory of Impasse-Driven Learning.- 3. Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis.- 4. Modeling the Knowledge Base of Mathematics Learners: Situation-Specific and Situation-Nonspecific Knowledge.- 5. The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions.- 6. Toward a Theory of Curriculum for Use in Designing Intelligent Instructional Systems.- 7. Enhancing Incremental Learning Processes with Knowledge-Based Systems.- 8. Mental Models and Metaphors: Implications for the Design of Adaptive User-System Interfaces.- 9. Improvement of the Acquisition of Knowledge by Informing Feedback.- 10. Socializing the Intelligent Tutor: Bringing Empathy to Computer Tutors.- 11. Cognitive Economy in Physics Reasoning: Implications for Designing Instructional Materials.- 12. Experimental Data for the Design of a Microworld-Based System for Algebra.- 13. Computer-Aided Model Building.