Bloom基于分类学的试卷生成系统

Y. Timakova, Kinn Abass Bakon
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引用次数: 2

摘要

评价过程是教育机构检验学习者表现的一项重要活动。试卷的好坏直接关系到对毕业生素质的评价。然而,设计试题对学者来说是一项艰巨的任务。本文旨在研究和分析当前的考试过程,建立自动化试卷生成系统(AQPGS),以取代学术界采用的人工方法。AQPGS原型旨在使学者能够在点击中生成高质量的试卷,这些试卷是公正的,与学习成果一致,同时节省了评估过程中的时间和资源。系统原型采用Visual Basic语言开发,并与MS Access数据库对接。它包括MCQ,真假和开放式问题。结合映射算法,利用关键词查询和随机选择问题,根据Bloom的分类法层次结构对开放式问题进行自动分类。生成的论文可以保存为文本文档和编辑。关键词:评估系统,自动化,试卷生成器,布鲁姆分类法系统,映射算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BLOOM’S TAXONOMY-BASED EXAMINATION QUESTION PAPER GENERATION SYSTEM
Assessment process is an essential activity in educational institutions to test performance of the learners. The essence of examination papers is directly linked to evaluation of quality of the graduates. Nevertheless, designing question papers is laborious task for the academics. This paper is aimed to research and analyze current assessment process and build automated examination question paper generation system (AQPGS) to replace manual method practiced by academics. AQPGS prototype is intended to enable academics to produce quality examination papers on the click, that are unbiased and aligned with learning outcomes, while saving the time and resources in the assessment process. System prototype was developed in Visual Basic language and connects to MS Access database. It includes MCQ, True/False and open-ended questions. Mapping algorithm is integrated for automated categorization of open-ended questions according to Bloom’s Taxonomy hierarchy, using keywords query and random selection of questions. Generated paper can be saved into text document and edited. Key Terms: Assessment System, Automation, Question Paper Generator, Bloom’s Taxonomy System , Mapping Algorithm.
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