The week's pick
Random Articles
Reseach Article
A Methodology for Implementing the Analytic Hierarchy Process to Students� Academic Performance
| 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
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.
References
- Akessa, G.M, Dhufera, A.G. (2015). Factors that Influences Students Academic Performance. Journal of Education and Practice.
- Ali, N., Jusoff, K., Ali, S., Mokhtar, N., & Salamat, A.S.A. (2009). The Factors Influencing Students’ Performance at University Technology, Malaysia. International Journal of Education.
- Enrique Mu and Milagros Pereyra-Rojas (2017). Practical Decision Making: An Introduction to the Analytic Hierarchy Process (AHP) Using Super Decisions v2. Springer.
- Jack R. Fraenkel and Norman E. Wallen (1996), Research Pathways: Writing Professional Papers, Theses, and Dissertations in Workforce Education.
- John W. Santrock (2006). Educational Psychology, McGraw-Hill.
- Kyoshaba Martha (2009). Factors Affecting Academic Performance of Undergraduate Students at Uganda Christian University.
- Mertens, Karel (2015). Marginal Tax Rates and Income: New Time Series Evidence, National Bureau of Economic Research Working Paper 19171.
- Nasir Naqvi, Baba Shiv, Antoine Bechara (2006), the Role of Emotion in Decision Making.
- Saaty, T. L. (2012). Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a complex World. Third revised edition. Pittsburgh; RWS Publications.
- Saaty, T.L., 1980. “The Analytic Hierarchy Process.” McGraw-Hill, New York.
- Yavuz, M. (2015). Equipment Selection based on the AHP and Yager’s Method. Journal of South African Inst. Min. Metall. 115, 425 – 443.
- Noble J. P., Roberts, W. L., and Sawyer R. L. (2006). Student Achievement Behaviour, Perception and other Factors Affecting ACT scores. ACT Research Report Series, 2006-1. ACT Inc.
- Singh S. P., Savita Malik (2006). Factors Affecting Performance of Students. Indian Journal of Research.
- Raychaduri, A., Debnath, M., Sen, S., and Majumder, B. G. (2010). Factors Affecting Students’ Academic Performance. A case study in Agartala Municipal Council Area. Bandladesh e-journal of Sociology. 7(2). 34-41.
- Gonzales, N. A., Cauce, A. M., Friedman, R. J., and Mason, C. A., (1996). Family Peer, and Neighbourhood Influences on Academic Achievement Among African-American Adolescents: One-year Prospective Effects. American Journal of Community Psychology. 24(3). 365-387.
- Goethals, G. R. (2001). Peer Effects, Gender, and Intellectual Performance among Students at a Highly Selective College: A Social Comparison of Abilities Analysis. Williams Project on the Economics of Higher Education, 1-20.
- Hanushek, E. A., Kain J. F., Markman, J. M. and Rivkin, S. G. (2003). Does Peer Ability Affect Student Achievement? Journal of Applied Econometrics, 18(5), 527-544.
Index Terms
Keywords