首页> 外文会议>International Conference on Decision Aid Sciences and Application >Ontology-Based Approach to Determine the Coverage of Examination Papers
【24h】

Ontology-Based Approach to Determine the Coverage of Examination Papers

机译:基于本体的方法确定考试论文的覆盖范围

获取原文

摘要

Examinations play an important role in the learning process and the whole education system. It is a way of assessing what the students have learned concerning particular subjects. The strengths and weaknesses of the students can be assessed through the examination. Therefore, examination papers should have a standard and quality attributes. The question preparation process is a very challenging step for academics. Sometimes, academics fail to prepare the question papers to address all the points in the syllabus. It is a critical problem in education when it fails to cover all the learning outcomes. Currently, there is no automated system to check the depth of the examination papers. Checking the depth manually is a very difficult and time-consuming task. In this research, the ontology-based approach is proposed to determine the depth of the examination papers. First, the ontology for a particular subject was created using Protégé software. Then, the soft copies of the examination papers were collected relevant to the subject. Then the stop words of the examination papers were removed. The created ontology was read by Java and Jena library. After that, a list of the subclasses of the ontology had been retrieved. Next, the path of the word was included in the ontology was discovered. In parallel, the number of all concepts in the ontology was counted. Using the paths of the words, the depth of the examination papers was evaluated. The average of 84.81% is shown by the ontology based approach and 79.99% was provided by the experts as the coverage for 5 subjects we analyzed. The empirical study of our prototyping system has proved the effectiveness of our proposed ontology-based method.
机译:考试在学习过程和整个教育系统中发挥着重要作用。这是一种评估学生们了解的特定主题的方法。可以通过考试评估学生的优势和弱点。因此,考试论文应该具有标准和质量属性。问题准备过程是学者的一个非常具有挑战性的一步。有时,学者未能准备问题文件,以解决教学大纲中的所有要点。当它未能涵盖所有学习结果时,这是一个关键问题。目前,没有自动化系统来检查检查纸的深度。手动检查深度是一个非常困难且耗时的任务。在这项研究中,提出了基于本体的方法来确定考试纸的深度。首先,使用Protégé软件创建特定主题的本体。然后,与受试者收集检查纸的软拷贝。然后去除检查纸的停止单词。创建的本体由Java和Jena Library读取。之后,已检索本体学的子类列表。接下来,发现本体中包含单词的路径。并行地,计算了本体中所有概念的数量。使用单词的路径,评估检查纸的深度。基于本体的方法显示了84.81%的平均值,专家提供了79.99%作为我们分析的5个受试者的覆盖范围。我们的原型系统的实证研究证明了我们所提出的基于本体论的方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号