论文信息 - An Assessment Framework for eLearning in the Semantic Web

An Assessment Framework for eLearning in the Semantic Web

In this paper we present a flexible assessment framework for eLearning based on semantic web technologies. The assessment techniques are formalized as reasoning rules. These rules are able to reason over resources annotated with semantic web metadata formats and according to the standards LOM and IMS QTI. The framework is tested using TRIPLE, a rule-based language for the semantic web.

Nicola Henze | Lilia Cheniti-Belcadhi | Rafik Braham

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