DESIGN AND IMPLEMENTATION OF AN AUTOMATED STUDENT RESULT PROCESSING SYSTEM
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DESIGN AND IMPLEMENTATION OF AN AUTOMATED STUDENT RESULT PROCESSING SYSTEM
1.0 Introduction
As we all know, computer applications are very relevant in all aspects of human life, and everyone must be familiar with current technologies. The computer is used to complete tasks and aid people in business, research, education, and other areas of life.
The creation of computers for use in offices and homes as a replacement for manual data processing methods is the best technology that has ever occurred in office administration.
In light of this, it is required to computerise the student result processing management system at Kogi State Polytechnic Lokoja in order to facilitate the timely processing of student records.
Computerization is the process of turning or converting manual labour into an automated process utilising a computer.
As a result, the student result processing management system is an automated system that uses software to improve the reliability and convenience of calculating student scores and generating their respective grades in each course.
The majority of the reports are in simple text format for fast printing. It also includes a document (a database record) that contains full information about each student and their academic performance. The database keeps track of each student’s course, including exam requirements and subjects.
The goal of this project was to computerise the result processing management system at the Department of Computer Science, Kogi State Polytechnic Lokoja.
1.2 Background of the Study
History of Computer Science at Kogi State Polytechnic Lokoja
The Department of Computer Science at Kogi State Polytechnic Lokoja was founded in 2002 as a section inside the Department of Mathematics/Statistics in the School of Technology. In 2003, accreditation was required to meet the National Board of Technical Education’s (NBTE) requirements.
In 2004, the Computer Science Department withdrew from the Mathematic/Statistics Department, becoming an independent department known as Mathematic/Statistics. Hall “A” was officially assigned to them, and Mr. Desmond Eneche was appointed as the pioneer Head of Department (HOD) until 2007.
One of his responsibilities was to represent and speak for the Department at board meetings. Miss Juliet Amadi, the successor to the pioneer Head of Department (HOD), was appointed in 2008, and the Department continued to produce numerous National Diploma Graduates section by section.
HND was accredited in 2009, and the necessary resources were in place to meet the requirements. However, they used a manual or conventional result processing mechanism. After a new building was allocated to the new HND as a lecture theatre in 2009.
Mr. C.I Okoye was appointed as a new HOD at the Department of Computer Science in 2010, with the goal of developing an automated system for result processing, with the intention that by the end of the 2010/2011 session, the department will produce its first HND Graduate of Computer Science.
In the 2010/2011 session, Mr. Stanley was appointed as Head of Department (HOD), attempting to preserve the automated technique of result processing system, but Mrs. ODEKINA Juliet was re-appointed as Head of Department (HOD), returning them to the traditional manner of processing.
In order to improve performance, the Department appointed 14 academic personnel and 4 non-academic staff in 2012. The Educational Trust Fund (ETF) donated a story building, which was expected to be occupied by the beginning of the 2012/2014 academic session.
One can only become a student of the department if he or she meets the department’s academic requirements and is awarded provisional admission by the registrar of the institution.
1.2 Statement of Problem
The following are some of the issues experienced when employing the manual technique for result processing.
A significant amount of time is wasted as a result of the enormous volume of data processing involved and the compute approach used.
Inability to handle or process massive amounts of student data leads to inaccuracies in student results.
The exercise is cumbersome and tedious.
Delay in computation (time constraint)
More manpower is required.
The procedure of updating is arduous (it entails going through each student record one by one).
Error due to oversight.
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