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

Mathematics in Virtual Knowledge Spaces: User Adaptation by Intelligent Assistants

Mathematics in Virtual Knowledge Spaces: User Adaptation by Intelligent Assistants
View Sample PDF
Author(s): Sabina Jeschke (Berlin University of Technology, Germany) and Thomas Richter (Berlin University of Technology, Germany)
Copyright: 2008
Pages: 23
Source title: Virtual Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Jerzy Kisielnicki (Warsaw University, Poland)
DOI: 10.4018/978-1-59904-955-7.ch103

Purchase

View Mathematics in Virtual Knowledge Spaces: User Adaptation by Intelligent Assistants on the publisher's website for pricing and purchasing information.

Abstract

The workplace of scientists and engineers is about to change: even though numerical software and computer algebra systems remove the burden of routine calculation, it becomes more important than ever to get familiar with new concepts and methods quickly. Given the rapid growth of knowledge in today’s sciences, traditional “learning on supply” (i.e., defining the learning goal as the accumulation of knowledge) is no longer applicable; instead, adequate learning and teaching methods have to be established to guide learners towards efficient self-controlled learning.

Related Content

Xiaoxiao Liu, Ka Yin Chau, Hoi Sze Chan, Yan Wan. © 2022. 20 pages.
Jiancong Ye, Junpei Zhong. © 2022. 20 pages.
Yui-yip Lau, Ivy Chan. © 2022. 22 pages.
Haoyu Liu, Bowen Dong, Pi-Ying Yen. © 2022. 22 pages.
Karen Sie, Yuk Ming Tang, Kenneth Nai Kuen Fong. © 2022. 25 pages.
N. Raghavendra Rao. © 2022. 21 pages.
Yuk Ming Tang, Hoi Sze Chan, Wei Ting Kuo. © 2022. 29 pages.
Body Bottom