A Framework for Learning Analytics in Moodle for Assessing Course Outcomes

被引:0
作者
Yassine, Sahar [1 ,2 ]
Kadry, Seifedine [1 ]
Sicilia, Miguel-Angel [2 ]
机构
[1] Amer Univ Middle East, Kuwait, Kuwait
[2] Univ Alcala, Alcala De Henares, Spain
来源
PROCEEDINGS OF 2016 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON2016) | 2016年
关键词
Learning Analytics; Moodle; Course Outcomes; Educational Effectiveness; NUMBERS;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:261 / 266
页数:6
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