SOLS: A Semantically Enriched Learning System Using LOD Based Automatic Question Generation
نویسندگان
چکیده
The purpose of this research is to use Linked Open Data (LOD) to support history learning on the Internet. The main issue to create meaningful content-dependent advice for learners is that the system requires an understanding of the learning domain. The learners use the Semantic Open Learning Space (SOLS) to create a machine-understandable concept map that represent their knowledge. SOLS is able to dynamically generate questions depending on each learner’s concept map. The system uses history domain ontologies to generate questions that aim to help learners develop their deep historical considerations. An evaluation showed that the learners using the question generation function could express deeper historical considerations after learning.
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