Early Warning System In Education
Volume 2 - Issue 9, September 2018 Edition
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Author(s)
Reginald Arvind JNR Kumar
Keywords
Learning analytics, At-risk students, Early warning system, Moodle, Elearning
Abstract
With the changes in education from face to face teaching to more online based learning and teaching, there is an increasing number of students enrolled into online courses and virtual classes. One of the major disadvantages of online learning is the difficulty to track students who are at risk of failure in a course. A method that can be used to keep track of these students is the Early Warning System (EWS). Only identifying students that are at risk does not ease their risk factors or assists students to graduate or progress in a course, however, the EWS has the ability to predict which students would have difficulty in completing a course or programme, ultimately this would also enable success of students. The EWSs assists educators to ensure students do not “fall through the cracks†and they receive the required attention.
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