Ontology-Based Multiple Choice Question Generation
Ontology-Based Multiple Choice Question Generation
复制标题
基于本体的多项选择题生成
DOI：
10.1007/s13218-015-0405-9
复制
发表时间：
2015
期刊：
影响因子：
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通讯作者：
U. Sattler
中科院分区：
文献类型：
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作者：
Tahani Alsubait;B. Parsia;U. Sattler
多项选择题 (MCQ) 被认为非常有用（易于答题或评分），但制作起来相当困难，并且需要大量的题才能形成有效的考试和相关练习材料。重用现有本体来生成 MCQ 的想法几乎不言而喻，并且已经在各种项目中进行了探索。在这个项目中，我们应用有关评估的合适的教育理论和相关方法来评估基于本体的 MCQ 生成。特别是，我们研究是否能够以足够的可靠性来测量本体中概念的相似性，以便该测量可用于控制生成的 MCQ 的难度。在本报告中，我们概述了这项研究的背景，并描述了所采取的主要步骤和获得的见解。
Multiple choice questions (MCQs) are considered highly useful (being easy to take or mark) but quite difficult to create and large numbers are needed to form valid exams and associated practice materials. The idea of re-using an existing ontology to generate MCQs almost suggests itself and has been explored in various projects. In this project, we are applying suitable educational theory regarding assessments and related methods for their evaluation to ontology-based MCQ generation. In particular, we investigate whether we can measure the similarity of the concepts in an ontology with sufficient reliability so that this measure can be used to control the difficulty of the MCQs generated. In this report, we provide an overview of the background to this research, and describe the main steps taken and insights gained.