Monitoring Students' Academic Performance Using Clustering Algorithm Paradigm

Nwosu P. C, E. Onuodu

Abstract


The capability of monitoring students’ academic performance is a very big challenge to the academic community, especially institutions of higher education. A research work implore with K-means clustering algorithm method to monitor students’ academic performance. The developed system was used to observe the progression of students’ academic performance in the Department of Computer Science, University of Port Harcourt. The system was implemented using JAVA programming language and the methodology applied is Structured Systems Analysis and Design Methodology (SSADM) approach and MySQL as database. The result of this work will be useful in academic environment as performance monitoring and evaluation system tools. It will also enhance the decision making process of academic planners as the students' academic  performance can be monitored session by session.


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