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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Framework for Automated Generation of Questions Based on First-Order Logic
verfasst von : Rahul Singhal, Martin Henz , Shubham Goyal
Erschienen in: Artificial Intelligence in Education
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In this work, questions are tasks posed to students to help them understand a subject, or to help educators assess their level of competency in it. Automated question generation is important today as content providers in education try to scale their efforts. In particular, MOOCs need a continuous supply of new questions in order to offer educational content to thousands of students, and to provide a fair assessment process. In this paper we establish first-order logic as a suitable formal tool to describe question scenarios, questions and answers. We apply this approach to the domain of mechanics (physics) in high school education.