Benford’s model as a Tool for analysing students performance pattern and anomaly

Abstract

Studies on existing methods of analyses are still insufficient due to the lack of investigation of students’ performance pattern. Prior
studies found that there is a limit in the existing systems that can be used to make a comparative analysis and monitoring of the student
academic performance. To look into this problem, this study explores the possibility of analysing students’ performance pattern in higher
institutions. A system based on Benford’s law was designed to analyse students’ performance pattern and the system was tested with
students Cumulative Grade Point Average (CGPA). Python programming language, Malplot library, wxpython graphical user interface
and Atom text and source code editor were used for developing and testing the application. After a couple of error debugging and fixes,
a well-functioning application that met the requirements of the system was achieved. This study also features a spiral model which was
adopted as the methodological approach in the development of the Benford’s Analysis system. The interaction between users and the
Benford’s Analysis system was described. Furthermore, a brief description of Benford’s law, pattern recognition, students’ performance
and stochastic modeling was given.