TrueSight Learning - An Innovative Tool for Learning Analytics

被引:0
|
作者
Sungkur, Roopesh Kevin [1 ]
Santally, Mohammad Issack [1 ]
Peerun, Saamiyah [1 ]
Wah, Randy Foo Yee Wu Tai [1 ]
机构
[1] Univ Mauritius, Reduit, Mauritius
来源
2016 IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND INNOVATIVE BUSINESS PRACTICES FOR THE TRANSFORMATION OF SOCIETIES (EMERGITECH) | 2016年
关键词
Learning Analytics; Learners; Teaching; Prediction; Algorithm;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the 21st century, with the growing importance of education and the increase use of internet, Learning Management Systems (LMS) or Virtual Learning Environments (VLE) have become a must amongst learners and instructors. One of the main objectives of these platforms is to implement technology with traditional learning methods so as to enhance the effectiveness of learning and teaching particularly in large cohorts of students. But does that really help to improve the process of learning? To be able to answer, Learning Analytics is perhaps the right tool. This area of study is concerned with the improvement of learning through the analysis of massive amount of data and information generated by the teaching and learning process. This paper demonstrates a prototype implementation of Learning Analytics, named TrueSight Learning and eventually shows how it can be used to predict the learning outcomes of learners and to identify the learners that are at risk and that will perhaps need special attention and double effort.
引用
收藏
页码:235 / 240
页数:6
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