Abstract
Nigeria being the most populous nation in Africa with over 55 % of its population as children and youths of school age has not witnessed a corresponding development in infrastructure, educational facilities and resources to cater for the growing population of students. In quest for better standards, especially since the mid-1980s, there has been high mobility of students, academic staff and professionals. Also, new methods of delivery educational services and cross-border providers have emerged over the years, coupled with globalization issues in education, Quality Assurance (QA) in education has drawn concerns from governments, industry and other stakeholders in international education. A number of QA procedures have been presented by regulatory bodies of various nationalities. As a result of the observed disparity between the high population of school age youth in Nigeria and the inadequate educational resources, coupled with the low level integration of Information Technology (IT) tools in administration of education in the country, QA in education has not been fully achieved. It is of the view that except conscious and serious effort is made to develop environment specific technologies to deploy IT tools in educational administration, manual procedures for pursuing QA programmes may not yield desirable results. In this study, a model for building a system that can be used to evaluate the performance of academic programmes to determine level of compliance to Minimum Acceptable Standards (MAS) set by the appropriate regulatory bodies is provided with the architectural framework for building the performance evaluation system.
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References
NPC “Nigeria over 167 million population: implications and challenges” [Online]. Available: www.population.gov.ng
Otedo News “Demographics of Nigeria” [Online]. Available: www.ihuanedo.ning.com/profile/blogs/demorgraphics-of-nigeria
UNESCO “Guidelines for quality provision in cross-border higher education” [Online] Available: www.unesco.org/education/hed/guidelines
Igbape EM (2014) Fuzzy logic modeling of an integrated academic information management system. Ph.D. dissertation, Dept. Computer Science, University of Benin, Benin City
Mishra S (2006) Quality assurance in higher education: an introduction. National Assessment and Accreditation Council (NAAC), Bangalore
Barnett R (1992) Improving higher education: total quality care. SRHE and OU, Buckingham
Harvey L, Green D (1993) “Defining quality,” assessment and evaluation in higher education. An Int J 18(1)
EAQAHA (2006) Quality assurance of higher education in Portugal: an assessment of existing system and recommendations for future system. European Association for Quality Assurance in Higher Education, Helsinki, [Online]. Available: www.enqa.eu/pubs.lasso
Suleiman RY (2008) Quality assurance and accreditation: the experience of the national universities commission of Nigeria. Department of Distance Education NUC, Abuja
Harvey L (1998) An assessment of past and current approaches to quality in higher education. Aust J Educ 42(3):237–255
Igbape EM, Idogho PO (2014) Performance evaluation model for quality assurance in Nigeria higher education. In: Proceedings of the world congress on engineering and computer science 2014, WCECS 2014. Lecture notes in engineering and computer science, 22–24 October, San Francisco, pp 334–343
Hevner AR, March ST, Park J, Ram S (2004) Design science in information systems research. MIS Quarterly 28(1)
March ST, Smith GF (1995) Design and natural science research on information technology. Decis Support Syst 15:251–266
Pressman RS (2005) Software engineering (A practitioner’s approach), 5th edn. McGraw Hill Book Company, Boston
Gray J, Chaudhuri S, Bosworth A, Layman A, Reichrt D, Venkatrao M (1997) Data cube: a relational operator generalizing group by, cross tab, sub-totals. Data Min Knowl Discov 1:29–53 (Kluwer Academic Publishers)
Fasel D, Shahzad K (2010) A data warehouse model for integrating fuzzy concepts in meta-table structures. In: Proceedings of the 17th IEEE international conference and workshops on the engineering of computer based systems, pp 100–109
Blum R (2007) PostgreSQL 8 for Windows. McGraw Hill Book Company, New York
TrowBridge D, Roxburgh U, Hohpe G, Manolesscu D, Nadhan EG “Integration patterns,” Available: http://www.msdn.microsoft.com/library/default.asp
Acknowledgment
We acknowledge the numerous contributions of authors cited in this work. We thank Prof. E.A. Onibere of the department of Computer Science, University of Benin, Nigeria for his guidance in the process of this work.
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Igbape, M.E., Idogho, O.P. (2015). A Model for Quality Assurance in Higher Education: A Case Study with Nigeria Higher Education. In: Kim, H., Amouzegar, M., Ao, Sl. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7236-5_24
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DOI: https://doi.org/10.1007/978-94-017-7236-5_24
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