A framework for learning analytics in moodle for assessing course outcomes

Sahar Yassine, S. Kadry, M. Sicilia
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引用次数: 44

Abstract

Assessment of course learning outcomes is a fundamental measure of student learning success in a course. This assessment is core measure for educational effectiveness required by any specialized accreditation body. Learning analytics is a powerful mean to inform learners, instructors and educational institutions about the student's performance and the progress of the learning process and to support the student success. Many useful LA tools are available in different LMS platforms such as Moodle. They are used to report student performance in specific activity. However there is a lack of integrated LA tool that can assess course learning outcomes and predict the student performance and achievement against specific outcomes. In this paper, we propose a new framework for developing learning analytics tool to assess these outcomes in the well-known open source LMS Moodle. Our framework is based on direct measure of the course learning outcomes through embedded examination of each outcome and its associated LMS activities, then to analyze the result in order to evaluate the achievement of program outcomes and to propose improvement for the coming semester where the studied course will be offer.
一个用于评估课程结果的moodle学习分析框架
课程学习成果评价是衡量学生在一门课程中学习成功与否的基本标准。该评估是任何专业认证机构要求的教育有效性的核心措施。学习分析是告知学习者、教师和教育机构有关学生的表现和学习过程的进展,并支持学生成功的有力手段。在不同的LMS平台(如Moodle)中可以使用许多有用的LA工具。它们被用来报告学生在特定活动中的表现。然而,目前缺乏一种综合的学习效果评估工具,可以根据具体的结果来预测学生的表现和成就。在本文中,我们提出了一个开发学习分析工具的新框架,以评估众所周知的开源LMS Moodle中的这些结果。我们的框架是基于对课程学习成果的直接测量,通过对每个成果及其相关的LMS活动进行嵌入式考试,然后分析结果,以评估项目成果的实现,并为即将提供的学习课程提出改进建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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