Literaturnachweis - Detailanzeige
| Autor/inn/en | Alsubait, Tahani; Parsia, Bijan; Sattler, Uli |
|---|---|
| Titel | Automatic Generation of Analogy Questions for Student Assessment: An Ontology-Based Approach |
| Quelle | In: Research in Learning Technology, 20 (2012), S.95-101 (7 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2156-7069 |
| DOI | 10.3402/rlt.v20i0.19198 |
| Schlagwörter | Computer Assisted Testing; Programming; Computer Software; Computer Software Evaluation; Computational Linguistics; Experiments; Student Evaluation; Multiple Choice Tests; Logical Thinking; Test Construction; Test Items; Theories; Educational Testing |
| Abstract | 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.] (As Provided). |
| Anmerkungen | Co-Action Publishing. Ripvagen 7, SE-175 64 Jarfalla, Sweden. Tel: +46-18-4951138; e-mail: info@co-action.net; Web site: http://www.co-action.net/journals/Journals_index.php? |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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