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|Abstract=In this work we'll present an overview of all the quality-relevant data occurring in the context of e-learning applications. This compilation may be used as a basis for the modelling and implementation of quality information systems within the scope of e-learning. Firstly we'll have a look on the state of the art related to this work. Then we'll present different types of quality-relevant data, which should be the principal constituents every quality information system for e-learning applications should have. Afterwards we'll close with a conclusion and an outlook. | |Abstract=In this work we'll present an overview of all the quality-relevant data occurring in the context of e-learning applications. This compilation may be used as a basis for the modelling and implementation of quality information systems within the scope of e-learning. Firstly we'll have a look on the state of the art related to this work. Then we'll present different types of quality-relevant data, which should be the principal constituents every quality information system for e-learning applications should have. Afterwards we'll close with a conclusion and an outlook. | ||
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Version vom 15. August 2009, 12:04 Uhr
Quality-Relevant Data in the Context of eLearning Applications
Quality-Relevant Data in the Context of eLearning Applications
Published: 2002
März
Herausgeber: Erwin Wagner, Andras Szücs
Buchtitel: Proceedings of the Second Research Workshop of the European Distance and E-Learning Network (EDEN) "Research and Policy in Open and Distance Learning", Hildesheim, 21.-23.03.2002
Seiten: 137-140
Referierte Veröffentlichung
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Kurzfassung
In this work we'll present an overview of all the quality-relevant data occurring in the context of e-learning applications. This compilation may be used as a basis for the modelling and implementation of quality information systems within the scope of e-learning. Firstly we'll have a look on the state of the art related to this work. Then we'll present different types of quality-relevant data, which should be the principal constituents every quality information system for e-learning applications should have. Afterwards we'll close with a conclusion and an outlook.
Betriebliche Informations- und Kommunikationssysteme„Betriebliche Informations- und Kommunikationssysteme“ befindet sich nicht in der Liste (Effiziente Algorithmen, Komplexitätsmanagement, Betriebliche Informationssysteme, Wissensmanagement, Angewandte Technisch-Kognitive Systeme, Information Service Engineering, Critical Information Infrastructures, Web Science und Wissensmanagement, Web Science, Ökonomie und Technologie der eOrganisation, ...) zulässiger Werte für das Attribut „Forschungsgruppe“.