Automatic generation of analogy questions for student assessment: an Ontology-based approach
| Autor: | Bijan Parsia, Uli Sattler, Tahani Alsubait |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | Research in Learning Technology, Vol 20, Iss 0, Pp 1-7 (2012) |
| Druh dokumentu: | article |
| ISSN: | 2156-7069 2156-7077 |
| DOI: | 10.3402/rlt.v20i0.19198 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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