An Intelligent Model for Student Admission System

Abstract

The use of intelligent systems in various fields to solve practical problems cannot be over emphasized. Today in the educational sector, the use of intelligent systems is being applied in areas such as automating basic grading and intelligent tutor. The need to apply intelligent systems in  admission system has becomes imperative, as admission is a major activity in every tertiary institution because  it is the process through which students enter tertiary education at universities and colleges . One major problem with this systems is that, regardless of the system of admission, an applicant’s past educational record remains central to the admission process because they are the major criteria in deciding whether an applicant gets admitted or not. While past educational records are central key elements in deciding who gets admitted, the decision of which course suits an applicant still remains an issue. The aim of this research is to design an intelligent model for student admission system; a system that considers an applicant IQ level, Interest level and combines it with the applicants past educational record to decide which course best suits an applicant. Before the design, a comprehensive analysis of the existing system was carried out. The results were used to bring out all the required variables and entities for the actualization of the system. The variable and entities covers both the front end, middle end and the back end requirement. The design was started by the use of Unified Modelling Language (UML) tools, the front end of the application was design using Active Server Pages (ASP) using MVC pattern, the Middle end was design using an object oriented programming (C#) and finally the backend which contains both the database and inference engine was design using fuzzy logic and Microsoft SQL Server Database.