A Theoretical Framework for an Intelligent Result Processing Expert System in Nigerian Universities
Journal Title: IOSR Journal of Mobile Computing & Application (IOSR-JMCA) - Year 2018, Vol 5, Issue 1
Abstract
Computation of GPA (Grade point average) and CGPA (Cumulative grade point average) in Nigerian universities is usually carried out by contracting the services of the ICT units of such institutions. The ICT approach uses portal management platform to manage and compute students’ results. Unfortunately, the contracted ICT approach does not consider the departmental policies and regulations as well as that of the University governing body in graduating students. Moreover, the existing approach does not provide an avenue for the various departments to compare their computation results (if any) with that of the ICT units. This paper presents a framework for developing departmental expert system that uses Boolean logic to ascertain if a student has met with the requirements of the Nigeria’s National University Commission (NUC), the respective individual universities and the various departments before graduation. The expert system framework is designed to first accept knowledge base and decision support data from hosting academic departments and secondly to accept registration data from students per level, and results from course lecturers. It uses the supplied knowledge base data to form inferential rules for the computation of students’ GPA’s and CGPA’s respectively. An algorithm for the framework is presented using Java programming language.
Authors and Affiliations
Ukekwe Emmanuel, Udanor Collins (P. Hd)
Keywords
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- EP ID EP439366
- DOI 10.9790/0050-0501010916.
- Views 137
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