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"MAeLE: A Metadata Driven Adaptive eLearning Environment", 52nd IWK – Internationales Wissenschaftliches Kolloquium, Ilmenau, Universitätsverlag, Verlagshaus Monsenstein und Vannerdat OHG, Münster, ISBN 978-3-939473-17-6, Germany, 11-13 September 2007.

Dr.-Ing. Ali Diab
Dr.-Ing. Heinz- Dietrich Wuttke
Dr.-Ing. Prof. h. c. Karsten Henke
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Michael Ruhwedel
Date of publication
The topic eLearning is taking on an increasingly important role in the discussion about modern teaching and learning methods. New technologies and in particular the Internet open many new opportunities, however in many cases these have not yet been exhausted. For example the management of large amounts of information and the provision of eLearning show that many demands remain to be met. Designing and Implementing of adaptive eLearning environments is a major point of interest. Currently, many learning environments offer little or no support for adaptivity. This is especially regrettable for personalize the content. In this paper we present a new SCORM compatible Metadata Driven Adaptive eLearning Environment (MAeLE). MAeLE is a framework for personalized adaptive eLearning. The adaptivity depends on the user characteristics and on adaptation metadata, which describe the contents and define how the adaptivity events should take place. The contents themselves do not contain any sequence logic or metadata. MAeLE generates a personalized course with adequate navigation and strategy at run time. A main advantage of MAeLE is its flexibility, extensibility and compatibility to SCORM standard.
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