An Experimental Evaluation of Automatically Generated Multiple Choice Questions from Ontologies

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• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10161
• 期：1
• 页码：24-39
• 丛书名：OWL: Experiences and Directions ?Reasoner Evaluation
• ISBN：978-3-319-54627-8
• 卷排序：10161

文摘

In order to provide support for the construction of MCQs, there have been recent efforts to generate MCQs with controlled difficulty from OWL ontologies. Preliminary evaluation suggests that automatically generated questions are not field ready yet and highlight the need for further evaluations. In this study, we have presented an extensive evaluation of automatically generated MCQs. We found that even questions that adhere to guidelines are subject to the clustering of distractors. Hence, the clustering of distractors must be realised as this could affect the prediction of difficulty.