%0 Journal Article
%T Automatic generation of analogy questions for student assessment: an Ontology-based approach
%A Tahani Alsubait
%A Bijan Parsia
%A Uli Sattler
%J Research in Learning Technology
%D 2012
%I Co-Action Publishing
%R 10.3402/rlt.v20i0.19198
%X Different computational models for generating analogies of the form Ą°A is to B as C is to DĄ± have been proposed over the past 35 years. However, analogy generation is a challenging problem that requires further research. In this article, we present a new approach for generating analogies in Multiple Choice Question (MCQ) format that can be used for studentsĄŻ assessment. We propose to use existing high-quality ontologies as a source for mining analogies to avoid the classic problem of hand-coding concepts in previous methods. We also describe the characteristics of a good analogy question and report on experiments carried out to evaluate the new approach.
%K e-assessment
%K ontology
%K analogy questions
%K relational similarity
%K vector space model
%K corpus-based evaluation
%U http://www.researchinlearningtechnology.net/index.php/rlt/article/view/19198/pdf_1