© 2010

Advances in Intelligent Tutoring Systems

  • Roger Nkambou
  • Jacqueline Bourdeau
  • Riichiro Mizoguchi


  • Presents recent results in intelligent tutoring systems

  • Written by leading experts in this field

  • State-of-the-Art book


Part of the Studies in Computational Intelligence book series (SCI, volume 308)

Table of contents

  1. Front Matter
  2. Introduction: What Are Intelligent Tutoring Systems, and Why This Book?

    1. Roger Nkambou, Jacqueline Bourdeau, Riichiro Mizoguchi
      Pages 1-12
  3. Part I: Domain Modeling

    1. Front Matter
      Pages 13-13
    2. Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo
      Pages 81-101
    3. Amal Zouaq, Roger Nkambou
      Pages 103-119
  4. Part II: Tutor Modeling and Learning Environments

    1. Front Matter
      Pages 121-121
    2. Jacqueline Bourdeau, Monique Grandbastien
      Pages 123-143
    3. Daniel Dubois, Roger Nkambou, Jean-François Quintal, François Savard
      Pages 145-179
    4. Andrew M. Olney, Arthur C. Graesser, Natalie K. Person
      Pages 181-206
    5. Beverly Park Woolf, Ivon Arroyo, David Cooper, Winslow Burleson, Kasia Muldner
      Pages 207-227
    6. Riichiro Mizoguchi, Yusuke Hayashi, Jacqueline Bourdeau
      Pages 229-247
    7. Wouter R. van Joolingen, Lars Bollen, Frank A. J. Leenaars
      Pages 249-264
  5. Part III: Student Modeling

    1. Front Matter
      Pages 265-265
    2. Beverly Park Woolf
      Pages 267-279
    3. Cristina Conati
      Pages 281-299
    4. Susan Bull, Judy Kay
      Pages 301-322
    5. Ryan S. J. d. Baker
      Pages 323-337

About this book


The idea for this book on Intelligent Tutoring Systems (ITS) was sparked by the success of the ITS’08 international conference. The number of presentations and their quality bore witness to the vitality and maturity of the field, and the enthusiasm of the participants held out a promise of sustainability and innovative research. Long life to ITS research! The book is divided into five parts. The introductory chapters to these parts, which summarize foundations, developments, strengths and weaknesses in each of the areas covered, are addressed to all readers. For those who want more in-depth knowledge, we give the floor to researchers who present their work, their results, and their view of what the future holds. It is our hope that all readers will find the book informative and thought-provoking.


Artificial Intelligence in Education Computational Intelligence E-learning Emotion Intellignet Tutoring Simulation knowledge learning modeling natural language ontology

Editors and affiliations

  • Roger Nkambou
    • 1
  • Jacqueline Bourdeau
    • 2
  • Riichiro Mizoguchi
    • 3
  1. 1.University of QuebecMontrealCanada
  2. 2.Télé-université, UQAMMontrealCanada
  3. 3.Osaka UniversityOsakaJapan

Bibliographic information

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