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  • 标题:Intelligent Electronic Assessment for Subjective Exams
  • 本地全文:下载
  • 作者:Alla Defallah Alrehily ; Muazzam Ahmed Siddiqui ; Seyed M Buhari
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2018
  • 卷号:8
  • 期号:8
  • 页码:47-63
  • DOI:10.5121/csit.2018.80804
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In education, the use of electronic (E) examination systems is not a novel idea, as Eexaminationsystems have been used to conduct objective assessments for the last few years.This research deals with randomly designed E-examinations and proposes an E-assessmentsystem that can be used for subjective questions. This system assesses answers to subjectivequestions by finding a matching ratio for the keywords in instructor and student answers. Thematching ratio is achieved based on semantic and document similarity. The assessment systemis composed of four modules: preprocessing, keyword expansion, matching, and grading. Asurvey and case study were used in the research design to validate the proposed system. Theexamination assessment system will help instructors to save time, costs, and resources, whileincreasing efficiency and improving the productivity of exam setting and assessments.
  • 关键词:Subjective Assessments; E-Examination; WordNet; semantic similarity.
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