Building a Semantic Open Learning Space with Adaptive Question Generation Support

Abstract

This research aims to give learners more content-dependent scaffolding in the self-directed learning of history. Learners use a system to build a concept map containing a chronology. The system is able to generate content dependent support adapted to the learners. To enable this support, we built a semantic open learning space using a natural language online encyclopedia and semantic information using the open linked data. The support is provided by the automatically generated questions and documents. The learners request questions when they need and the system will generate the questions depending on the concept map of the learner. The generated questions aim to leads the learners to new knowledge deepening their understanding.