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Content-Dependent Question Generation for History Learning in Semantic Open Learning Space

Corentin Jouault, Kazuhisa Seta

This research’s objective is to support learners in self-directed learning of history in an open learning space. Learners who request help are provided with a list of questions to orient them to new information. All the support is provided only on request and gives them multiple possibilities to give them more freedom in self-directed learning. The originality of our research is that the generated questions are content-dependent. To be able to generate such support, we had to overcome one major problem: the information in the open learning space needs to be understood by our system. The construction of this “semantic open learning space” permits the system to generate questions depending on the studied contents and the learner’s concept map.

The final publication is available at Springer via https://link.springer.com/chapter/10.1007/978-3-319-07221-0_37.