Automatic Generation Of Analogy Questions For Student Assessment: An Ontology-Based Approach
RESEARCH IN LEARNING TECHNOLOGY(2012)
摘要
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.
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关键词
e-assessment, ontology, analogy questions, relational similarity, vector space model, corpus-based evaluation
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