Automatic generation of analogy questions for student assessment: an Ontology-based approach

Research in Learning Technology

关键词: e-assessment;    ontology;    analogy questions;    relational similarity;    vector space model;    corpus-based evaluation;   

DOI  :  10.3402/rlt.v20i0.19198

来源: DOAJ

【 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.

【 授权许可】

Unknown