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Multiple Choice Question Generation Utilizing An Ontology

机译:利用本体的多项选择题生成

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Ontologies provide a structured representation of concepts and the relationships which connect them. This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity structure in a novel way. It also introduces a novel way to generate multiple-choice distractors from the ontology, and compares this to a baseline of using embedding representations of nodes An assessment by an expenenced science teacher shows a significant advantage over a baseline when using the ontology for distractor generation A subsequent study with three science teachers on the results of a modified question generation algorithm finds significant improvements. An iri-depth analysis of the teachers' comments yields useful insights for any researcher working on automated question generation for educational applications.
机译:本体提供概念的概念化表示及其之间的联系。这项工作研究了如何通过一种新颖的方式使用连接结构,利用现有的教育生物学本体来为学生生成有用的实践问题。它还介绍了一种从本体生成多选式干扰物的新颖方法,并将其与使用节点的嵌入表示法的基线进行比较。由经验丰富的理科教师进行的评估显示,在将本体论用于干扰物生成A方面,与基线相比有明显的优势。随后与三位理科教师一起对改进的问题生成算法的结果进行的研究发现了重大改进。对教师评论的iri深度分析可为从事自动生成教育应用问题的任何研究人员提供有用的见解。

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