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  TTOOPP 1100 EEDDUUCCAATTIIOONN AANNDD IINNFFOORRMMAATTIIOONN TTEECCHHNNOOLLOOGGYY PPAAPPEERRSS:: RREECCOOMMMMEENNDDEEDD RREEAADDIINNGG –– IINNFFOORRMMAATTIIOONN TTEECCHHNNOOLLOOGGYY RREESSEEAARRCCHH     Citation Count – 52   Challenges of E-Learing in Nigerian University Education Based on the Experience of Developed Countries  N.D. Oye 1 , Mazleena Salleh 2  , N. A. Iahad  3   1,2,3  Faculty of Computer Science and Information systems Universiti Teknologi Malaysia Abstract  This paper present a review of the challenges of e-learning in Nigerian University education based on the experience of four developed countries, UK, Australia, Korea and France. The survey shows that these countries have: (i) vision and action plans for e-learning, (ii) they have good government policies and financial support, (iii) they earmark action programs and set committees with sufficient funds to pursue it goals, (iv) they believe in research as a fundamental part of e-learning strategy, and lastly (v) they embark on awareness, training and motivational programs. The paper pointed out that, for the challenges of Nigerian university education to be reduced to minimum, the Federal Government should improve on educational funding as UNESCO recommended 26% of the annual budget. In addition the government should fulfill her promise on the issue of improving Electricity supply in the country. Furthermore, the university administrators should embark on awareness and training of staff on the use of ICTs, with motivations attached. The Internet is a major driver of ICT in education and bandwidth is a major issue in the deployment of e-learning. Therefore government should make Internet connectivity a priority for higher education to be able to leverage on the promises and opportunities ICTs present. Keywords  E-learning; ICT; Developed Countries,;Nigerian University; Challenges; Education; Internet. For More Details :    Volume Link :    REFERENCES  [1] Aduke, A F ( 2008). Usage and Challenges of Information and Technology (ICT) in Teaching and Learning in Nigerian Universities. Asian Journal of Information Technology, 7(7), 290-295. [2] Ajadi TO, Salawu, IO and Adeoye, FA (2008). E-learning and Distance Education in Nigeria. The Turkish Online Journal of Educational Technology, 7(4), Article 7. [3] Arikpo I I, Osofisan, A and Usoro, A ( 2009). Bridging the digital divide: the Nigerian  journey so far. International Journal of Global Business, 2 (1), 181-204. [4] Asogwa, U D ( 2006). E-learning: A panacea for access, equity and quality higher education in Nigeria. Paper presented at the 30th annual conference of Nigerian Association for Educational Administration and Planning (NAEAP) held at the Faculty of Education Hall, Enugu State University of Science and Technology. [5] Cook J, Holley D, Smith C, Bradley C and Haynes, R (2006). A Blended M-Learning Design for Supporting Teamwork in Formal and Informal Settings. Mobile Learning 2006, 14-16 July, Dublin. [6] Erah, PO (2006). Introduction to e-learning protocols. Paper presented at ETF capacity building workshop for lecturers of Universities in Nigeria at the University of Uyo. [7] Folorunso O, Ogunseye OS and Sharma SK( 2006). An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities. Information Management and Computer Security Journals, 14 (5), 496-505. [8] HEFCE (2005). HEFCE strategy for e-learning, March 2005, available at  [9] JAMB (2009). JAMB Statistics: Application and Admission (UME and PCE) Retrieved April 30, 2009, from [10] NUC (2009). List of Nigerian Universities and Years Founded Retrieved April 30, 2009, from [11] Omofaye, JO( 2007). Challenges facing ICT Infrastructure and successful online education in Africa, Available online at Http//: Downloaded 15th June 2007. [ 12] Oye ND, Salleh M and Ai.ahad N (2010). Holistic E-learning in Nigerian Higher Education Institutions. Journal of Computing, vol 2(11), p20-26. [13] QAA (2004). Code of practice for the assurance of academic quality and standards in higher education - Section 2: Collaborative provision and flexible and distributed learning (including e-learning), September 2004, available at International Journal of Managing Information Technology (IJMIT) Vol.3, No.2, May 2011 47 [14] Resnick, M (2002). Rethinking Learning in the Digital Age. Online. URL: http:  //  (last accessed: 2007-01-08). [15] Sharma R, Ekundayo M S and Ng E (2009). Beyond the digital divide: policy analysis for knowledge societies. Journal of Knowledge Management, 13(5), 373-386. [16] Schmidt, A (2005). Knowledge maturing and the continuity of context as a unifying concept for knowledge management and e-learning. In: Proceedings of I-Know ‘05, Special Track on Integrating Working and Learning, Graz, Austria, pp. 424-431. [17] Schulmeister, R (2006). ELearning: Einsichten und Aussichten. München; Wien: Oldenbourg Verlag. [18] UNESCO (2009). UNESCO portal on Higher Education Institutions: Nigeria Retrieved April30,2009,from [ 19] Yang, G (2010) “The effect of e-learning for the teachers in Information Society” Proc. Second International Workshop on Education Technology and Computer Science, pp621-624. [20] Zook, M (2004). Internet Users Worldwide - statistic 2004. Online. URL: http://www. (last accessed: 2007-01- 08).  Citation Count – 08   Intelligent Mammography Database Management System for a Computer Aided Breast Cancer Detection and Diagnosis  Isaac Adusei, Ognjen Kuljaca, Kwabena Agyepong Alcorn State University, System Research Institute Abstract  To efficiently and intelligently archive, retrieve, and analyze digitized mammogram images in breast cancer detection, a robust knowledge based system needs to be developed to provide decision support to radiologists and researchers. A Mammography database is therefore designed for the development of a knowledge base to support the detection and diagnosis as well as research in mammography. The system also has implemented Computer Aided Detection (CAD) and Diagnosis (CADx) information system of digitized mammogram images to aid in breast cancer detection. In this paper, we will outline the architectural design for the CAD/CADx system and then focus primarily on the design and modeling of the mammography database. The database design combined two standards, the Breast Imaging Reporting and Data System (BI-RADS) by American College of Radiology and the Facility Oncology Registry Data Standards (FORDS) by the Commission on Cancer standards. The complete system is in final development and debugging phase. Keywords  Breast Cancer Detection, Knowledge-Based System, Decision Support System, Computer Aided Detection, Computer Aided Diagnosis, Mammography, Database Management System. For More Details :   Volume Link:  
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