Abstract
Modern e-Learning Systems are expected to be innovative not only concerning comprehensive representation of content enriched by multimedia, but also in the integration of learning situations in contexts suitable for students. Suitable, motivating contexts can be “fun” as found in strategic games or business simulations or of a more “serious” variety in the form of virtual data labs. In the new BMBF Project EMILeAstat11 (e-stat) 13 partners from different organisations are cooperating to construct such an innovative intelligent web based training (I-WBT) system for applied statistics.
This paper describes the formal specification, the architecture, and the implementation of e-stat from a knowledge and content engineering point of view, applying pedagogical and psychological criteria where necessary. Towards the end of the paper we compare our approach with an emerging e-Learning engineering approach which is based on EML a special XML-dialect.
The German Federal Ministry of Education and Research finances e-stat by means of the NMB funding program ”Neue Medien in der Bildung” (New Media in Education).
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Moebus, C., Albers, B., Hartmann, S., Thole, HJ., Zurborg, J. (2002). Towards a Specification of Distributed and Intelligent Web Based Training Systems. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_33
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DOI: https://doi.org/10.1007/3-540-47987-2_33
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