The week's pick
Reseach Article
An Enhanced System for Allocation of Resources in Nigerian Universities
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 168 - Number 11 |
| Year of Publication: 2017 |
| Authors: Rhoda Ikono, Abimbola Babalola, Olaronke Iroju, Ishaya Gambo |
10.5120/ijca2017914556
|
Rhoda Ikono, Abimbola Babalola, Olaronke Iroju, Ishaya Gambo . An Enhanced System for Allocation of Resources in Nigerian Universities. International Journal of Computer Applications. 168, 11 ( Jun 2017), 35-41. DOI=10.5120/ijca2017914556
Abstract
Education is a fundamental right and access to higher education plays a vital role in shaping an individual’s career in life. However, the process of securing admission into Nigerian universities is highly competitive. This is because the population of students who seek admission into Nigerian Universities annually is exponential. Nevertheless, one of the majors of securing admission into Nigerian Universities is through the pre-degree program. This process is however manually done, time consuming and fraught with errors. Consequently, this paper designs an enhanced system that automatically allocates courses to students seeking admission into Nigerian Universities through the pre-degree program. The system uses artificial neural network for its decision making capabilities. This will help to eliminate bias that unaided human judgment is prone to during admission process.
References
- Jackson- Teague, L. (2014). Higher Education Plays Critical Role in the Society: More Women Leaders can make a Difference. Forum on Public Policy.
- Mansmann, S. and Scholl, M.H. (2007). Decision Support System for Managing Educational Capacity Utilization. IEEE transactions on education, Vol. 50(2). pp. 143-150.
- Ikono R., Babalola, A. and Iroju, O. (2017). A Resource Allocation Model for Admission into Nigerian Universities. Journal of Current Research, 9(04): 49188-49195.
- Asein, J. and Lawal, Y. (2007). Admission into Tertiary Institutions in Nigeria. Annual Conference of the International Association for Educational Assessment.
- Diana-Abasi, I. F. (2015). Solving the problem of poor quality of university graduates in Nigeria-A proposed holistic approach. British Journal of Education, 3(7):52–70.
- Moti, U. G. (2010). The Challenges of Access to University Education in Nigeria. DSM Business Review, 2(2): 4-6.
- Wabwoba, F. and Mwakondo, F. (2011). Students Selection for University Course Admission at the Joint Admissions Board (Kenya) using Trained Neural Networks. Journal of Information Technology Education: Research, 10(1):333–347.
- Cruz, J. A. and Wishart, D. S. (2006). Applications of Machine Learning in Cancer Prediction and Prognosis. Cancer Informatics. 2: 59-75.
- Russell, S. and Norvig, P. (2003). Artificial Intelligence: A Modern Approach. Prentice hall.
- McConnell, C. R., Brue, S. L. and Flynn, S. M. (2011). Economics: Principle, Problems and Policies. 19th Edition. Mc-Graw-Hill/Irwin, New York.
- Horny, A. S. (2001). Oxford Advanced Learner’s Dictionary of Current English. 6th Edition. Oxford: Oxford University Press.
- Asechemie, A. (1999). The History of the University of Port Harcourt. Port Harcourt: University of Port Harcourt press ltd.
- Grinager, H. (2006). How Education Technology Leads to Improved Student Achievement. Educational Issues, National Conference of State Legislatures.
- Meenyinikor, J. N. D. (2012). Higher Educational Resources in Nigeria: A Managerial Analysis. Global Advanced Research Journal of Educational Research and Review, 1(9): 196-201.
- Okebukola, P. C. (2008). Education reform: Imperatives for achieving vision 20-2020. Paper Presented at the National Summit on Education Organized by Senate Committee on Education.
- Mabu, A. M. and Muhammed, F. A. (2016). An Admission Decision Support System for Nigerian Universities. International Journal of Computer Applications, 133(2): 1-6.
- Ajayi, O. O., Ojeyinka, T. O., Isheyemi, O. G. and Lawal, M. A. (2014). A Rule-Based Higher. Institution of Learning Admission Decision support System. Journal of Information Engineering and Applications, 4(1): 7-17.
- Waters, A. and Miikkulainen, R. (2013). GRADE: Machine Learning Support for Graduate Admissions. In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 11-18.
- Tanna, M. (2012). Decision Support System For Admission in Engineering Colleges Based on Entrance Exam Marks. International Journal of Computer Applications, 52(11):38–41.
- Rojas, R. (1996). Neural Networks. Springer-Verlag, Berlin.
- Heaton, J. (2011). Programming Neural Networks with Encog3 in C#. Heaton Research, Inc.
- Menzies, T., Greenwald, J. and Frank, A. (2007). Data Mining Static Code Attributes to Learn Defect Predictors. Institute of Electrical and Electronics Engineer Transactions on Software Engineering, 32 (1): 2-13.
- Sahu, R., Dash, M. and Kumar, A. (2017). Applying Predictive Analytics within the Service Sector. IGI Global Business Science Reference, Hershey, USA
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