Authoring Tools for Advanced Technology Learning Environments

Toward Cost-Effective Adaptive, Interactive and Intelligent Educational Software

  • Tom Murray
  • Stephen B. Blessing
  • Shaaron Ainsworth

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Authoring Tutors for Device and Process Simulations

    1. Wouter R. Van Joolingen, Ton De Jong
      Pages 1-31
    2. Henry M. Halff, Patricia Y. Hsieh, Brenda M. Wenzel, Tom J. Chudanov, Mary T. Dirnberger, Elizabeth G. Gibson et al.
      Pages 33-59
  3. Authoring Tutors that Encode Human Expertise

  4. Authoring Tutors that Include Instructional Strategies

    1. Shaaron Ainsworth, Nigel Major, Shirley Grimshaw, Mary Hayes, Jean Underwood, Ben Williams et al.
      Pages 205-232
    2. Ana Arruarte, Begoña Ferrero, Isabel Fernández-Castro, Maite Urretavizcaya, Ainhoa Álvarez, Jim Greer
      Pages 233-267
  5. Special Purpose Authoring Tools

  6. General Theories and Designs

  7. Back Matter
    Pages 545-557

About this book

Introduction

Researchers and educational software developers have talked about building authoring tools for intelligent tutoring systems (ITSs), adaptive and knowled- based instructional systems, and other forms of advanced-technology learning environments (ATLEs) ever since these forms of educational software were introduced in the 1970s. The technical complexity and high development costs of these systems contrasts sharply with the common picture of education as a "home grown" activity performed by individual teachers and trainers who craft lessons tailored for each situation. There have been two primary reasons to create authoring tools for ATLEs: to reduce development cost, and to allow practicing educators to become more involved in their creation. The goal of creating usable authoring tools dovetails with the recent trend toward interoperability and reusability among these systems. We use the phrase "advanced-technology learning environment" to refer to educational software on the leading edge of practice and research. These systems go beyond traditional computer-based instruction or educational simulations by providing one or more of the following benefits: ß Providing rich, or even "immersive" interfaces so that students can "learn by doing" in realistic and meaningful contexts. ß Dynamically adapting the interface or content to the student's goals, skill level, or learning style. ß Providing expert hints, explanations, or problem solving guidance. ß Allowing "mixed-initiative" tutorial interactions, where students can ask questions and have more control over their learning.

Keywords

Analysis Usability computer computer science knowledge base knowledge engineering learning organization programming reflection simulation tools visualization

Editors and affiliations

  • Tom Murray
    • 1
  • Stephen B. Blessing
    • 2
  • Shaaron Ainsworth
    • 3
  1. 1.Hampshire CollegeAmherstUSA
  2. 2.Carnegie Learning, Inc.PittsburghUSA
  3. 3.University of NottinghamNottinghamUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-0819-7
  • Copyright Information Springer Science+Business Media B.V. 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6499-8
  • Online ISBN 978-94-017-0819-7
  • About this book
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