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Neural network model for cumulative grade point average (CGPA) computation process in Nigerian tertiary institutions


FI Sadiq
SO Falaki
OS Adewale

Abstract

One of the major tasks performed in any institutions of higher learning is the assessment of students' performance by ways of conducting Tests and Examinations on semester-by-semester basis. Following the examination to be written by student(s), the result would be computed using an appropriate grades and grade point, which will, gave rise to Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA). The paper presents a neural network model for this process of computation in tertiary institutions using Universities of Technology as a focus.

Keywords: institutions, assessment of student, GPA, CGPA and neural network model

The Information Technologist Vol. 3(1) 2006: 54-62

Journal Identifiers


eISSN: 2805-3478
print ISSN: 1597-4316