IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Adaptive Knowledge Exosomatics for E-Learning

Adaptive Knowledge Exosomatics for E-Learning
View Sample PDF
Author(s): Xiaoqiang Liu (DongHua University, China)and Henk Koppelaar (Delft University of Technology, The Netherlands)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Distance Learning
Source Author(s)/Editor(s): Caroline Howard (HC Consulting, USA), Judith V. Boettcher (Designing for Learning, USA), Lorraine Justice (Hong Kong Polytechnic University, Hong Kong), Karen D. Schenk (K. D. Schenk and Associates Consulting, USA), Patricia L. Rogers (Bemidji State University, USA)and Gary A. Berg (California State University Channel Islands (Retired), USA)
DOI: 10.4018/978-1-59140-555-9.ch006

Purchase

View Adaptive Knowledge Exosomatics for E-Learning on the publisher's website for pricing and purchasing information.

Abstract

In this article, e-learning is considered as “learning activities enabled by computer and networks (Internet and Intranet).” The distributed learning environment and especially the Web-enabled technologies make asynchronous learning possible via Internet. With the development of the Internet and the increasing needs of life-long learning, e-learning is becoming one of the most important applications on the Internet.

Related Content

Sylvia Robertson. © 2023. 28 pages.
Dimitrios Stamovlasis, Charalampos Tsanidis. © 2023. 23 pages.
Ikram Chelliq, Lamya Anoir, Mohamed Erradi, Mohamed Khaldi. © 2023. 26 pages.
Vasiliki Ioakeimidou. © 2023. 27 pages.
Eleni Bonti. © 2023. 25 pages.
Lamya Anoir, Ikram Chelliq, Mohamed Erradi, Mohamed Khaldi. © 2023. 29 pages.
Shibu Puthalath, M. R. Mallaiah, Viswesh Sekhar. © 2023. 17 pages.
Body Bottom