A Study of a Conductive and Adaptive E-Learning Environment | E-learning Teaching and Learning Artificial Intelligence online learning

David Asirvatham (u. a.)

ISBN 10: 3847336800 / ISBN 13: 9783847336808

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

A Study of a Conductive and Adaptive E-Learning Environment | E-learning Teaching and Learning Artificial Intelligence online learning | David Asirvatham (u. a.) | Taschenbuch | 356 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847336808 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106437490

Bibliographic Details

• Title: A Study of a Conductive and Adaptive E-Learning Environment | E-learning Teaching and Learning Artificial Intelligence online learning
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3847336800
• ISBN 13: 9783847336808
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 22D millimeters 220 millimeters width by 150 millimeters height by 22 millimeters depth
• Weight: 548 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The great potential of e-learning is yet to be tapped. Most e-learning systems are designed with the concept that one-shore-fits-all. That is, the same set of learning materials are presented to all learners. This is termed as the static learning model. The learning theories clearly state that each individual learn differently. Learners have different styles of learning, different pace of learning, and different preferences. With technology, it is possible to present different learning materials to different learners based on the competency level. This is termed as adaptive learning model. This book will highlight the adaptive learning model that is able to deliver content based on the learner’s competency level. It will also outline and highlight the experiments conducted. The adaptive e-learning models operate within an e-learning environment which is supported by an array of technologies. Applying the systems approach concept, it is important that a conducive e-learning environment is defined first prior to testing the adaptive models.

About the Author

Dr. David Asirvatham is currently the Director for Centre for Information Technology at University of Malaya, Malaysia. He has held numerous posts such the Associate Dean for Faculty of Information Technology (Multimedia University), Project Manager for the Multimedia and IT Infrastructure Development for university campus.