Overview

Adaptive Learning Environments (ALEs) can be viewed as the intersection of two traditionally distinct areas of research: instructional science and computer science. They encompass intelligent tutoring systems, interactive learning environments, and situated learning environments. There is increasing interest in effective instructional systems from education, industry, military and government sectors. Given recent advances in hardware architecture and reduction of hardware costs, the time is right to define the next steps in research and development of ALEs. This book is an outgrowth of the presentations and discussions that took place at the NATO Advanced Study Institute held at the University of Calgary in July 1990. It contains chapters from both researchers in instructional science and researchers in computer science on the following topics: - Systems and architectures for instruction - Representing curriculum and designing instructional tasks - Environments to support learning - Diagnosing students' learning and adjusting plans for instruction - Models of students' metacognition, motivation and learning strategies - Student-system interactions. The book containsintroductions/critiques of each pair of chapters, and a final chapter discusses the synthesis of instructional science and computer science.

Full Product Details

Author:   C. Tubman ,  Marlene Jones ,  Philip H. Winne
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 1992
Volume:   85
Dimensions:   Width: 17.00cm , Height: 2.40cm , Length: 24.20cm
Weight:   0.722kg
ISBN:  

9783642775147

ISBN 10:   3642775144
Pages:   408
Publication Date:   16 December 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1. Systems and Architectures for Instruction.- Designing Instructional Computing Systems for Meaningful Learning.- Artificial Instruction: A Method for Relating Learning Theory to Instructional Design.- 2. Representing Curriculum and Designing Instructional Tasks.- The Search for Adaptability, Flexibility, and Individualization: Approaches to Curriculum in Intelligent Tutoring Systems.- The Curriculum and Instructional Tasks: Goals, Strategies, and Tactics for Interactive Learning.- 3. Environments to Support Learning.- Exploratory Multi-media Environments.- Technological Support for the Learning and Doing of Design.- 4. Diagnosing Students’ Learning and Adjusting Plans for Instruction.- Towards a Computational Model of Tutoring.- Phenomenographic Research and the Design of Diagnostic Strategies for Adaptive Tutoring Systems.- 5. Models of Students’ Metacognition, Motivation, and Learning Strategies.- Metacognitive Models of Learning and Instructional Systems Design.- The Language Shift: a Mechanism for Triggering Metacognitive Activities.- 6. Student-System Interactions.- Nobile: User Model Acquisition in a Natural Laboratory.- State-of-the-Art Instructional Computing Systems that Afford Instruction and Bootstrap Research.- 7. Synthesis.- Synthesizing Instructional and Computational Science.- Contributors.

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