Integration of Arficial Neural Network To A Web Based Students Information System For Tertiary Institutions

Abstract

The development and economic growth of any nation solely depend on the human resources in the educational system. A lot of data about the students activities are involve in the education system, therefore there is need for managing, securing and accessing the data in real time. One of the main problems facing most of the university lecturers is the ability to use traditional paper-based operation to manage bulky quantities and different types of data they encountered in daily operation, starting from non-public data to numerous varieties of documents. Also students’ records in most institutions have been held in low esteem, especially in the third world where most archival records on students are held in physical systems, giving rise to complications in recovering vital information and reduced access time. Some the university lacks a predicting system that will help student to predict their result, so as to enable know the area to put more effort to improve their academic performance. The aim of this study is to develop a web based student information system integrating artificial neural network. The methodology adopted in this paper is the Object-oriented analysis and design methodology (OOADM) and the application languages used was Hypertext Markup Language (HTML), Hypertext Preprocessor (PHP), MySQL, Cascaded Style Sheet (CSS), Java Script, Dream weaver, and Fireworks. The effective deployment and management of this system will improve greatly the speed and accuracy of student’s information. The Artificial Neural Network used in the study was able to achieve 91% accuracy in predicting student’s academic performance.