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ERIC Number: EJ1003117
Record Type: Journal
Publication Date: 2012
Pages: 7
Abstractor: As Provided
Reference Count: 22
ISBN: N/A
ISSN: ISSN-2156-7069
Automatic Generation of Analogy Questions for Student Assessment: An Ontology-Based Approach
Alsubait, Tahani; Parsia, Bijan; Sattler, Uli
Research in Learning Technology, v20 suppl p95-101 2012
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. (Contains 3 tables and 1 figure.) [This paper was published in the ALT-C 2012 Conference Proceedings.]
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Publication Type: Journal Articles; Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A