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@inproceedings{singh2013psi-2,
month = {July},
author = {Vineet Singh and Bibhya N. Sharma and Anjeela D. Jokhan and Shaveen Singh},
booktitle = {Science for Human Security and Sustainable Development in the Pacific Islands},
address = {Suva, Fiji},
title = {Early Warning System},
publisher = {USP Press},
year = {2013},
journal = {12th Pacific Science Inter-Congress},
pages = {165--169},
url = {http://repository.usp.ac.fj/9321/},
}



Please cite as:

Singh, Vineet and Sharma, Bibhya N. and Jokhan, Anjeela D. and Singh, Shaveen (2013) Early Warning System, in Proceedings of the 12th Pacific Science Inter-Congress Suva, 2013, pp. 165-169.

Abstract:
There is a lot of emphasis nowdays on online management system for teaching and learning. The shift in the pedagogy invariably warrants innovative ways of monitoring student progress in the new and exciting ICT driven learning environment. Early Warning System (EWS) piloted at The University of the South Pacific (USP) monitors student progression using the history of interactions, completion and course achievement as indicators of satisfactory or unsatisfactory performance. Incorporated within Moodle, the real time progress tracking system helps identify underperforming students so that corrective measures and actions can be taken before it is too late. Students are flagged on incomplete tasks, alerted on lack of engagement with online activities, and informed on the progress made on popular course activities. Course coordinators are able to identify student learning patterns and group similar learners, which is a difficult task especially in large classes. The model will also assist the coordinators in evaluating and maintaining courseware by identifying effective and ineffective course activities. The paper presents the implementation report of EWS at USP, highlighting its share of strengths and opportunities.

keywords: {Moodle, Monitor, Early Warning System, Interaction, Alert}

URL: http://repository.usp.ac.fj/9321/

Conference URL: http://www.psi2013.usp.ac.fj/