New Directions for Intelligent Tutoring Systems

1. Front Matter

   Pages I-X

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2. Foundations

   1. Front Matter

      Pages 1-1

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   2. New Perspectives on Cognition and Instructional Technology

      • William J. Clancey

      Pages 3-14

   3. A Genetic Structure for the Interaction Space

      • Pierre Dillenbourg, Patrick Mendelsohn

      Pages 15-27

   4. COLAPSES: A Modular Architecture and Language for Modelling Meta-Control and Uncertainty

      • R. López de Mántaras, C. Sierra, J. Agustí

      Pages 28-37

   5. Computational Mathetics: The Missing Link in Intelligent Tutoring Systems Research?

      • John Self

      Pages 38-56

   6. What’s in an ITS? A Functional Decomposition

      • Radboud Winkels, Joost Breuker

      Pages 57-68

3. Student Modelling

   1. Front Matter

      Pages 69-69

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   2. Meta-Reasoning and Student Modelling

      • Marta Cialdea

      Pages 71-90

   3. Machine Learning, Explanation-Based Learning and Intelligent Tutoring Systems

      • Ernesto Costa, Paulo Urbano

      Pages 91-106

   4. The Central Importance of Student Modelling to Intelligent Tutoring

      • Gordon I. McCalla

      Pages 107-131

4. ITS: Principles and Practices

   1. Front Matter

      Pages 133-133

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   2. Student Models, Scratch-Pads, and Simulation

      • Dick J. Bierman, Paul A. Kamsteeg, Jacobijn A. C. Sandberg

      Pages 135-145

   3. A Framework for Instructional Planning and Discourse Modelling in Intelligent Tutoring Systems

      • M. Felisa Verdejo

      Pages 146-170

   4. Uses of ITS: Which Role for the Teacher?

      • Martial Vivet

      Pages 171-180

5. Belief Systems

   1. Front Matter

      Pages 181-181

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   2. A Belief Revision Model of Repair Sequences in Dialogue

      • Alison Cawsey

      Pages 183-197

   3. A Structure for Epistemic States

      • João Pavão Martins

      Pages 198-212

   4. Building an Intelligent Second Language Tutoring System from Whatever Bits You Happen to Have Lying Around

      • Yorick Wilks, David Farwell

      Pages 213-226

6. Interaction among Agents

   1. Front Matter

      Pages 227-227

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This book is a result of the NATO Advanced Research Workshop on New Directions for Intelligent Tutoring Systems, held in Sintra, Portugal, October 6-10, 1990. The main idea behind the workshop was to bring together scientists with different concerns about Intelligent Tutoring Systems (ITS) in order to discuss the positive and negative aspects of the current architecture paradigm (expert module, student module, instructional module, and interface module) and, eventually, propose some modifications or radical changes to it. This was a consequence of the increasing malaise felt currently by researchers in the area of artificial intelligence and education and in particular by those concerned with ITS. One symptom of this state of affairs is the fact that people have started talking about Intelligent Learning Environ­ ments (lLE) instead of ITS. To understand the reasons for this situation we promoted the discussion of questions like: - To what extent do we need the technology of expert systems in ITS? Which other relevant AI techniques and methodologies are urgently needed? - Is ITS a tool for knowledge communication or is it rather a belief system? - How can the research already done on interactions among agents be utilized? - Is it possible to find a fonnal theory to describe and solve the current problems with ITS? The book contains the revised versions of the papers presented at the workshop. The new texts reflect the discussions that took place at the meeting.

• Artifical intelligence
• Pädagogische Psychologie
• agents
• artificial intelligence
• cognition
• computer assisted instruction
• computerunterstütztes Lernen
• educational psychology
• intelligence
• intelligent tutoring systems
• learning
• machine learning
• modeling
• simulation
• uncertainty

• Department of Electronic Engineering, University of Coimbra, Coimbra, Portugal

  Ernesto Costa

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