Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-19773-9_114
Title: A framework for automated generation of questions based on First-Order logic
Authors: Singhal, R 
Henz, M 
Goyal, S 
Issue Date: 1-Jan-2015
Publisher: Springer International Publishing
Citation: Singhal, R, Henz, M, Goyal, S (2015-01-01). A framework for automated generation of questions based on First-Order logic 9112 : 776-780. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-19773-9_114
Abstract: 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.
URI: https://scholarbank.nus.edu.sg/handle/10635/200861
ISBN: 9783319197722
ISSN: 03029743
16113349
DOI: 10.1007/978-3-319-19773-9_114
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