Authors:
Klaus P. Jantke
1
;
Steffen Lange
1
;
Gunter Grieser
2
;
Peter Grigoriev
2
;
Bernhard Thalheim
3
and
Bernd Tschiedel
4
Affiliations:
1
German Research Center for Artificial Intelligence, Germany
;
2
Technical University of Darmstadt, Germany
;
3
Christian-Albrechts-University of Kiel, Germany
;
4
Technical University of Cottbus, Germany
Keyword(s):
E-Learning, Knowledge Discovery, Data Mining, Decision Support, Learning on Demand
Related
Ontology
Subjects/Areas/Topics:
Applications
;
e-Business
;
Education/Learning
;
e-Learning
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
Abstract:
In this paper, e-learning meets decision support in enterprises’ business practice. This presentation is based on an on-line e-learning system named DaMiT for the domain of knowledge discovery and data mining (see http://damit.dfki.de). The DaMiT system has primarily been developed for technology enhanced learning in German academia. It is now on the cusp of entering training on demand in enterprises. Simple stand-alone e-learning seems quite unrealistic and does not meet the needs of industry. It is very unlikely that employees take a detour to study theory of whatever sort. More likely, they are willing to engage in studies whenever the need derives directly from their practical work. In those cases, they might even be willing to dive into theory. How to dovetail e-learning and enterprise business applications, such that both sides benefit from it?