TY - JOUR AU - Alsubait , Tahani AU - Parsia , Bijan AU - Sattler , Uli PY - 2012/08/30 Y2 - 2024/03/28 TI - Automatic generation of analogy questions for student assessment: an Ontology-based approach JF - Research in Learning Technology JA - Research in Learning Technology VL - 20 IS - 0 SE - ALT-C 2012 Conference Proceedings - A confrontation with reality DO - 10.3402/rlt.v20i0.19198 UR - https://journal.alt.ac.uk/index.php/rlt/article/view/1366 SP - AB - Different computational models for generating analogies of the form ‘‘A is to B as C is to D’’ 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 students’ 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.Keywords: e-assessment; ontology; analogy questions; relational similarity; vector space model; corpus-based evaluation(Published: 30 August 2012)http://dx.doi.org/10.3402/rlt.v20i0.19198 ER -