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Framework for integrating outcome-based assessment in online assessment: Research in progress

机译:将基于结果的评估纳入在线评估的框架:正在进行的研究

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The use of online examination in place of paper-based assessment has attracted a plethora of attention from educators and researchers alike. The reason for this stems from the advantages of online examinations, such as effectiveness, objectiveness, and flexibility. However, creating valid and reliable examinations remains a challenge. Often used as a framework for educational assessments, bloom's taxonomy greatly influences the formulation of course outcomes and examination questions. An ideal examination should consist of set of well-aligned questions that extensively meet all the course outcomes and correspond to the different levels of Bloom's taxonomy. Moodle is a popular widespread open source Learning Management System (LMS) that can be used to create examination questions. However, it is lacking in its reporting mechanisms that enables the classification of various questions based on the course outcomes and Bloom's Taxonomy. The objective of this paper is to propose and describe a framework to integrate outcome-based assessment into LMS. This alignment is significant in order to ensure high quality examination assessment as well as to help teachers develop a balanced examination that encompasses all the course outcomes and different levels of Bloom's taxonomy.
机译:使用在线考试代替纸质评估已经引起了教育工作者和研究人员的广泛关注。这样做的原因来自在线考试的优势,例如有效性,客观性和灵活性。但是,创建有效和可靠的检查仍然是一个挑战。 Bloom的分类法通常被用作教育评估的框架,极大地影响了课程结果和考试题的制定。理想的考试应由一系列能够很好地满足所有课程结果并且与布鲁姆分类法的不同层次相对应的,排列合理的问题组成。 Moodle是一种流行的,广泛使用的开源学习管理系统(LMS),可用于创建考试题。但是,其报告机制不足,无法根据课程结果和Bloom的分类法对各种问题进行分类。本文的目的是提出并描述一个将基于结果的评估整合到LMS中的框架。这种一致性非常重要,可以确保高质量的考试评估,并帮助教师进行平衡的考试,涵盖所有课程结果和不同级别的Bloom分类法。

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