A Framework for Automated Generation of Questions Based on First-Order Logic
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.
KeywordsFirst order logic Automated deduction Pattern matching Formal domains Axiomatic approach Constraint handling rules (CHR)
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