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Adaptive Learning Environments

Foundations and Frontiers

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Marlene Jones

    1. Advanced Computing and Engineering, Alberta Research Council, Calgary, Canada

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  2. Philip H. Winne

    1. Faculty of Education, Simon Fraser University, Burnaby, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 85)

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Table of contents (20 papers)

  1. Front Matter

    Pages I-VIII
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Marlene Jones
      Pages 3-10

  3. Systems and Architectures for Instruction

    1. Front Matter

      Pages 11-11
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    2. Systems and Architectures for Instruction

      • Peter Goodyear, Benedict du Boulay
      Pages 13-17

    3. Designing Instructional Computing Systems for Meaningful Learning

      • Thomas J. Shuell
      Pages 19-54

    4. Artificial Instruction: A Method for Relating Learning Theory to Instructional Design

      • Stellan Ohlsson
      Pages 55-83

  5. Environments to Support Learning

    1. Front Matter

      Pages 147-147
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    2. Environments to Support Learning

      • Jim Greer, Ellen Mandinach
      Pages 149-153

    3. Exploratory Multi-media Environments

      • W. Patrick Dickson, Carrie Heeter, Mark Rosenberg, Pericles Gomes, Itzik Artzi
      Pages 155-171

    4. Technological Support for the Learning and Doing of Design

      • Elliot Soloway, Mark Guzdial, Kathy Brade, Luke Hohmann, Iris Tabak, Peri Weingrad et al.
      Pages 173-200

  6. Diagnosing Students’ Learning and Adjusting Plans for Instruction

    1. Front Matter

      Pages 201-201
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    2. Diagnosing Students’ Learning and Adjusting Plans for Instruction

      • Benedict du Boulay, Peter Goodyear
      Pages 203-208

    3. Towards a Computational Model of Tutoring

      • Beverly Park Woolf
      Pages 209-231

    4. Phenomenographic Research and the Design of Diagnostic Strategies for Adaptive Tutoring Systems

      • Diana Laurillard
      Pages 233-248

  7. Models of Students’ Metacognition, Motivation, and Learning Strategies

    1. Front Matter

      Pages 249-249
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Keywords

About this book

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.

Editors and Affiliations

  • Advanced Computing and Engineering, Alberta Research Council, Calgary, Canada

    Marlene Jones

  • Faculty of Education, Simon Fraser University, Burnaby, Canada

    Philip H. Winne

Bibliographic Information

  • Book Title: Adaptive Learning Environments

  • Book Subtitle: Foundations and Frontiers

  • Editors: Marlene Jones, Philip H. Winne

  • Series Title: NATO ASI Subseries F:

  • DOI: https://doi.org/10.1007/978-3-642-77512-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1992

  • Softcover ISBN: 978-3-642-77514-7Published: 16 December 2011

  • eBook ISBN: 978-3-642-77512-3Published: 06 December 2012

  • Series ISSN: 0258-1248

  • Edition Number: 1

  • Number of Pages: VIII, 408

  • Topics: Artificial Intelligence, IT in Business

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