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Intelligent and Adaptive Educational-Learning Systems

Achievements and Trends

  • Provides a holistic view of the computers in education paradigms and approaches
  • Presents the underlying components of the Educational-Learning Systems
  • Written by leading experts in the field

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 17)

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Table of contents (20 chapters)

  1. Front Matter

    Pages 1-9
  2. Modeling

    1. Front Matter

      Pages 1-1
    2. Affective Modeling for an Intelligent Educational Environment

      • Yasmín Hernández, L. Enrique Sucar, Gustavo Arroyo-Figueroa
      Pages 3-24
    3. ALEM: A Reference Model for Educational Adaptive Web Applications

      • Mohammed Tadlaoui, Azeddine Chikh, Karim Bouamrane
      Pages 25-48
    4. Proactive Sequencing Based on a Causal and Fuzzy Student Model

      • Alejandro Peña-Ayala, Humberto Sossa
      Pages 49-76
    5. Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach

      • Marianne Holzhüter, Dirk Frosch-Wilke, Ulrike Klein
      Pages 77-105
  3. Content

    1. Front Matter

      Pages 107-107
    2. A Study of a Learning Style Index to Support an Intelligent and Adaptive Learning Systems

      • Mohamed Hamada, Kuseke Nishikawa, John Brine
      Pages 109-132
    3. GRAPPLE: Learning Management Systems Meet Adaptive Learning Environments

      • Paul De Bra, David Smits, Kees van der Sluijs, Alexandra I. Cristea, Jonathan Foss, Christian Glahn et al.
      Pages 133-160
    4. PCMAT – Mathematics Collaborative Educational System

      • Constantino Martins, Luiz Faria, Marta Fernandes, Paulo Couto, Cristina Bastos, Eurico Carrapatoso
      Pages 183-212
    5. Interoperable Intelligent Tutoring Systems as SCORM Learning Objects

      • Gustavo Soares Santos, Joaquim Jorge
      Pages 239-265
  4. Virtuality

    1. Front Matter

      Pages 267-267
    2. A Smart Home Lab as a Pedagogical Tool

      • Antonio Sanchez, Lisa Burnell
      Pages 293-314
    3. Supporting Hybrid Courses with Closed-Loop Adaptive Training Technology

      • James E. McCarthy, John L. Wayne, Brian J. Deters
      Pages 315-337
    4. CELTS: A Cognitive Tutoring Agent with Human-Like Learning Capabilities and Emotions

      • Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou
      Pages 339-365
  5. Applications

    1. Front Matter

      Pages 367-367

About this book

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. 

This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research.  After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications.

This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.

Reviews

From the reviews:

“This book is a collection of 20 papers on intelligent and adaptive educational learning systems (ELSs) research, defined here as educational services for learning and teaching using artificial intelligence (AI) techniques. … The book can be seen as a snapshot of recent work in this area; this is its main merit.” (Rosa Michaelson, ACM Computing Reviews, December, 2012)

Editors and Affiliations

  • WOLNM, Leyes Reforma, Mexico

    Alejandro Peña-Ayala

Bibliographic Information

  • Book Title: Intelligent and Adaptive Educational-Learning Systems

  • Book Subtitle: Achievements and Trends

  • Editors: Alejandro Peña-Ayala

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-642-30171-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2013

  • Hardcover ISBN: 978-3-642-30170-4Published: 11 August 2012

  • Softcover ISBN: 978-3-642-43354-2Published: 20 September 2014

  • eBook ISBN: 978-3-642-30171-1Published: 10 August 2012

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XII, 524

  • Topics: Computational Intelligence, Artificial Intelligence

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access