ALOA: A Web Services Driven Framework for Automatic Learning Object Annotation

Authors:
Mohamed Amine Chatti;Nanda Firdausi Muhammad;Matthias Jarke
Affiliations:
Informatik 5 (Information Systems), RWTH Aachen University, Germany;Informatik 5 (Information Systems), RWTH Aachen University, Germany;Informatik 5 (Information Systems), RWTH Aachen University, Germany
Venue:
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Year:
2008

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Abstract

Generating learning object metadata is a complex task to be done manually. An automated approach is therefore required. This work presents the concepts and ideas behind the automatic generation of metadata. We propose a Web Services driven framework for IEEE LOM-compliant automatic learning object annotation called ALOA. The primary focus has been on the flexibility and extensibility of the framework, such that new metadata generation services can easily be plugged into the basic system.