Intelligent Educational Machines

Methodologies and Experiences

  • Nadia Nedjah
  • Luiza de Macedo Mourelle
  • Mario Neto Borges
  • Nival Nunes de Almeida

Part of the Studies in Computational Intelligence book series (SCI, volume 44)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Leena Razzaq, Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Goss Nuzzo-Jones et al.
    Pages 23-49
  3. Louise Jeanty de Seixas, Rosa Maria Vicari, Lea da Cruz Fagundes
    Pages 77-102
  4. Cesar A. Collazos, Manuel Ortega, Crescencio Bravo, Miguel A. Redondo
    Pages 103-116
  5. João Carlos Gluz, Cecilia Dias Flores, Rosa Maria Vicari
    Pages 117-146
  6. Ana C. Letichevsky, Marley Vellasco, Ricardo Tanscheit, Reinaldo C. Souza
    Pages 147-165
  7. Annibal Parracho Sant'Anna
    Pages 167-182
  8. Back Matter
    Pages 183-185

About this book

Introduction

Artificial Intelligence and Education is an ever-growing research area. It uses artificial intelligence tools and techniques to provide the foundations for intelligent tutoring and learning systems. The main concern is taking advantage of computer-based technology to examine, discuss and foster the processes of cognition, learning, teaching and related subjects. This book supports and develops innovative teaching methods and learning systems.

The goal of this volume has been to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as applications and interesting experiences in the field. The book should be useful both for beginners and experienced researchers interested in applying computational intelligence to the educational process.

Keywords

Educational Machines Intelligent Educational Machines Intelligent Machines artificial intelligence cognition computational intelligence computer-supported collaborative learning fuzzy fuzzy logic intelligence intelligent systems knowledge-based systems learning model

Editors and affiliations

  • Nadia Nedjah
    • 1
  • Luiza de Macedo Mourelle
    • 2
  • Mario Neto Borges
    • 3
  • Nival Nunes de Almeida
    • 4
  1. 1.Universidade do Estado do Rio de JaneiroFaculdade de EngenhariaMaracanãBrazil
  2. 2.Universidade do Estado do Rio de JaneiroFaculdade de EngenhariaMaracanãBrazil
  3. 3.Federal University of Sao Joao del Rei - UFSJElectrical Engineering Department (DEPEL)Sao Joao del ReiBrazil
  4. 4.Universidade do Estado do Rio de JaneiroFaculdade de EngenhariaMaracanãBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-44921-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-44920-1
  • Online ISBN 978-3-540-44921-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book