Development of INPLANS: an analysis of student performance using neuro-fuzzy

Abstract

This paper presents a simulation of Neuro-Fuzzy application for analysing students' performance based on their CPA and GPA. The analysis is an extension of our previous study, which was called An Analysis on Student's Performance Using Fuzzy Systems. The main function of this analysis is to support the development of Intelligent Planning System (INPLANS) using Fuzzy Systems, Neural Networks, and Genetic Algorithms which will be used by the Academic Advisory Domain in educational institutions by evaluating and predicting students' performance as well as comparing the results with the previous study. The Neuro-Fuzzy model is connectionist feed-forward architecture with five layers of neurons and four connections. The system has been tested for 26 cases of students' results. The results show that the students' performances have improved significantly compared to the prediction of the same case using Fuzzy Systems.