Evolution of Teaching and Learning Paradigms in Intelligent Environment / Edition 1

Evolution of Teaching and Learning Paradigms in Intelligent Environment / Edition 1

by Raymond A. Tedman
     
 

ISBN-10: 3540719733

ISBN-13: 9783540719731

Pub. Date: 09/26/2007

Publisher: Springer Berlin Heidelberg

This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. It presents the latest ideas coming out of educational computing research. The three Australian authors include a number of chapters on issues of real relevance to today’s teaching practice, including an introduction to the evolution of teaching

Overview

This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. It presents the latest ideas coming out of educational computing research. The three Australian authors include a number of chapters on issues of real relevance to today’s teaching practice, including an introduction to the evolution of teaching and learning paradigms; why designers cannot be agnostic about pedagogy, and the influence of constructivist thinking in design of e-learning for HE.

Product Details

ISBN-13:
9783540719731
Publisher:
Springer Berlin Heidelberg
Publication date:
09/26/2007
Series:
Studies in Computational Intelligence Series, #62
Edition description:
2007
Pages:
308
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

to the Evolution of Teaching and Learning Paradigms.- Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE.- Problem-Based Learning in an e-Learning Environment: A Case Study at Griffith University School of Medicine.- Educational Ontologies Construction for Personalized Learning on the Web.- Sequencing in Web-Based Education: Approaches, Standards and Future Trends.- From Dungeons to Classrooms: The Evolution of MUDs as Learning Environments.- The Development of an Approach to Learning Within the Middle Schooling Paradigm.- Applying Data Mining Techniques to e-Learning Problems.- Data Mining of Virtual Campus Data.- Technology and Pedagogy – How to Learn Technique.- Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study.

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