Skip to main content
SpringerLink
Log in

Evolution of Teaching and Learning Paradigms in Intelligent Environment

  • Book
  • © 2007

Overview

Editors:
  1. Lakhmi C. Jain

    1. School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Raymond A. Tedman

    1. School of Medicine, Griffith University Medicine and Oral Health Centre, Brisbane, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Debra K. Tedman

    1. Kings Christian College, Reedy Creek, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Contains the latest research on the technology and pedagogy from conventional to intelligence-centred domain
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 62)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction to the Evolution of Teaching and Learning Paradigms

    • Raymond A. Tedman, Debra K. Tedman
    Pages 1-6

  3. Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE

    • Miguel Baptista Nunes, Maggie McPherson
    Pages 7-30

  4. Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicine

    • Raymond A. Tedman, Heather Alexander, Robert Loudon
    Pages 31-45

  5. Educational Ontologies Construction for Personalized Learning on the Web

    • Apple Wai Ping Fok, Horace Ho Shing Ip
    Pages 47-82

  6. Sequencing in Web-Based Education: Approaches, Standards and Future Trends

    • Sergio Gutiérrez, Belardo Pardo
    Pages 83-117

  7. From Dungeons to Classrooms: The Evolution of MUDs as Learning Environments

    • Brian M. Slator, Otto Borchert, Lisa Brandt, Harold Chaput, Kellie Erickson, Gabriel Groesbeck et al.
    Pages 119-159

  8. The Development of an Approach to Learning Within the Middle Schooling Paradigm

    • Debra Tedman
    Pages 161-181

  9. Applying Data Mining Techniques to e-Learning Problems

    • Félix Castro, Alfredo Vellido, Àngela Nebot, Francisco Mugica
    Pages 183-221

  10. Data Mining of Virtual Campus Data

    • Alfredo Vellido, Félix Castro, Terence A. Etchells, Àngela Nebot, Francisco Mugica
    Pages 223-254

  11. Technology and Pedagogy – How to Learn Technique

    • Riitta Penttinen, Sari Minkkinen
    Pages 255-283

  12. Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study

    • Paul De Bra, Natalia Stash, David Smits, Cristóbal Romero, Sebastián Ventura
    Pages 285-308
Back to top

Keywords

About this book

Teaching and learning paradigms have attracted increased attention in the last few years. Improved access to high speed Internet services and the massive increase in popularity of the Internet have paved the way for alternative but effective approaches in teaching and learning. This book on the evolution of teaching and learning paradigms in intelligent environment presents the latest ideas pertaining to educational pedagogy. The authors have recognised the role of constructivist thinking in teaching and learning plus the importance of providing a wide range of mental resources to encourage cognitive growth in students. Electronic learning or e-learning is rapidly transforming the teaching and learning environments of tertiary education facilities, further moulding the educational pedagogy to match the virtual digital modes of commu- cation favoured by teenagers during their secondary education. Teachers need to recognise that while technology should empower the learning process it is important not to neglect educational issues during the systematic analysis and design of the technologies for specific learning purposes. Recent advances in e-learning have emphasised the importance of personalised learning ontology or customising of learning material and activities to provide a personal environment for each learning activity. This means adapting the learning content, its sequencing and maybe some aspects of the learning process so that it can be adapted to different users with different capabilities. This push for personalised learning has also focused upon the need for refining data mining methods to classify e-learning problems e. g.

Editors and Affiliations

  • School of Electrical and Information Engineering, University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  • School of Medicine, Griffith University Medicine and Oral Health Centre, Brisbane, Australia

    Raymond A. Tedman

  • Kings Christian College, Reedy Creek, Australia

    Debra K. Tedman

Bibliographic Information

  • Book Title: Evolution of Teaching and Learning Paradigms in Intelligent Environment

  • Editors: Lakhmi C. Jain, Raymond A. Tedman, Debra K. Tedman

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-71974-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Hardcover ISBN: 978-3-540-71973-1Published: 06 August 2007

  • Softcover ISBN: 978-3-642-09113-1Published: 22 November 2010

  • eBook ISBN: 978-3-540-71974-8Published: 07 April 2011

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VIII, 308

  • Number of Illustrations: 57 b/w illustrations

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation