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Reseach Article

A Methodology for Implementing the Analytic Hierarchy Process to Students� Academic Performance

by Olufemi Sunday Adeoye, Robinson Samuel Akpan
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 11
Year of Publication: 2018
Authors: Olufemi Sunday Adeoye, Robinson Samuel Akpan
10.5120/ijais2018451744

Olufemi Sunday Adeoye, Robinson Samuel Akpan . A Methodology for Implementing the Analytic Hierarchy Process to Students� Academic Performance. International Journal of Applied Information Systems. 12, 11 ( Mar 2018), 31-37. DOI=10.5120/ijais2018451744

@article{ 10.5120/ijais2018451744,
author = { Olufemi Sunday Adeoye, Robinson Samuel Akpan },
title = { A Methodology for Implementing the Analytic Hierarchy Process to Students� Academic Performance },
journal = { International Journal of Applied Information Systems },
issue_date = { Mar 2018 },
volume = { 12 },
number = { 11 },
month = { Mar },
year = { 2018 },
issn = { 2249-0868 },
pages = { 31-37 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number11/1024-2018451744/ },
doi = { 10.5120/ijais2018451744 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:08:51.485871+05:30
%A Olufemi Sunday Adeoye
%A Robinson Samuel Akpan
%T A Methodology for Implementing the Analytic Hierarchy Process to Students� Academic Performance
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 11
%P 31-37
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Several tools exist for determining the dominant factor affecting students’ academic performance. Among the tools that have been used so far are correlation regression analysis, linear regression analysis, t-test, ANOVA, content analysis technique, and chi-square. This research deployed the use of analytical hierarchy process (AHP) to determine the dominant factor influencing students’ academic performance. The AHP is done by evaluating the normalized weights of four criteria suggested by the data collected through questionnaires administered to students of the University of Uyo, Nigeria. The result of the study revealed that student-based factor with the eigenvector (priority) of 55.9% is the dominant factor among the four.

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Index Terms

Computer Science
Information Sciences

Keywords

Methodology Analytic hierarchy process students’ academic performance institution-based factor parental-based factor environmental-based factor student-based factor