Automated Domain Model Creation for Adaptive Social Educational Environments

Adaptive educational systems tailor learning material to user goals, needs and characteristics. While supporting more effective learning, they require semantic descriptions enabling adaptation engines to make at least basic reasoning. However, creating such descriptions manually is extremely demanding task. The situation is even more complicated when considering adaptation in social collaborative environment with content generated dynamically by learners on daily basis. In this paper we present a method for automated domain model creation based on processing of resources authored by teachers and social annotations created by learners.

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