Career Guidance through Admission Procedures in Nigerian Universities Using Artificial Neural Networks (original) (raw)

2015

Abstract

The study describes the application of Artificial Neural Network model in guiding students for suitable career through admission procedures in Nigerian universities. Before a candidate can be admitted to any of the Nigerian universities, he/she must be appraised based on some factors. The researchers looked into and identified various factors that may likely influence the performance of a student. These factors include ordinary level subjects' scores and subjects' combination, universal tertiary matriculation examination scores, post-universal tertiary matriculation examination scores, age on admission, parental background, types and location of secondary school attended, gender, number of sitting for Senior Secondary Certificate Examination, among others. These factors then served as input variables for the Artificial Neural Network model. A model based on the Multilayer Perceptron Topology was deployed and trained using final year students' data from faculty of Science...

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