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© Proceedings of the Ruhuna Quality Assurance Sessions 2021 (RUQAS 2021)
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21 September 2021

proposed Early Warning System could be a reliable measure to identify the students who are at risk of
dropping out.

Methodology

The proposed Early Warning System is based on the Management Information System (MIS) of the
Faculty of Agriculture. According to the by-laws of the Faculty, the maximum time period for

st
completing the degrees is four years. The students can attempt 1 year repeat subjects for another 7
nd
rd
th
times, 2 year repeat subjects for another 6 times, 3 year repeat subjects for another 5 times and 4
year repeat subjects for another 4 times. According to the proposed system, students are being
continuously monitored and when a student is at a critical point, an alert is sent to the relevant parties
such as student mentors and academic counsellors if necessary.

Data of the students and
relevant Mentors
Early Warning System
Data
MIS database Enrollment Eligibility

Results Attempts

Feedback given by the Mentor Alert to the Mentor

Figure 1: Proposed Early Warning System

According to the system, the relevant data of the students including the name, registration number,

relevant degree, subjects enrolled numbers of attempts taken and the results should be entered to the
MIS database. Those data are already included in the existing database. Apart from that, relevant

information of the mentor of a particular student needs to be added to the MIS database.

The data from the MIS are sent to the Early Warning System. There are 4 components of the system.

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