Impact of Ict on Education in Kenya

Impact of Information Communication Technology on Education-Kenya

Kagwiria Josephine Kirimi

School of Education Mount Kenya University, Kenya Email: [e-mail]

Abstract
Kenya has made remarkable progress putting in place an ICT policy framework and implementation strategy, complete with measurable outcomes and time frames. The process has had the benefit of sound advice from officials and stakeholders and, perhaps more importantly, strong leadership from the office of the permanent Secretary of the Ministry of Education. However, universal implementation is challenging given the lack of resources, national ICT infrastructure, and even electrical supply- particularly in the rural areas.
As technology is bound to rule our present and future, it is good to obtain know-how of the technological reforms at the earliest. Children learn faster and can adapt to changes relatively easily. If they are trained during their school years, they have a high chance of becoming experts in technology.
Computers can give lovelier explanations to various subjects. The internet is an ocean of information which can be harnessed for the rendition of information in school. The inclusion of technology in the learning process makes learning an enjoyable activity, thus inviting greater interest from the learners.
The administration processes, the official procedures of the school can be simplified by the means of technology. School records, the information about all the students and the teachers and other school employees can efficiently be maintained by means of the advanced technology.
Thus we see that technology not only benefits the

References: Haveman, R.; Wolfe, B. (1995). “The Determinants Of Children’s Attainments: A Review Of Methods And Findings”. Journal Of Economic Literature. Vol. 33, No. 4, Pp, 1829-1878. American Economic Association. Hoxby, C. M. (2000). “The Effects Of Class Size On Student Achievement: New Evidence From Population Variation”. Quarterly Journal Of Economics. No. 90, Pp. 1239-1285. Jaag, C. (2006). “A Simple Model Of Educational Production”. Mpra Paper. No. 338. October. Jaggia, S.; Kelly-Havke, A. (1999). “An Analysis Of The Factors That Influence Student Performance: A Fresh Approach To An Old Debate”. Contemporary Economic Policy. Vol. 17, No. 2, Pp. 189-198. Jepsen, C.; Rivkin, S. (2002). “What Is The Trade-Off Between Smaller Classes And Teacher Quality?”. Nber Working Paper. No. 9205. Kirkpatrick, H.; Cuban, H. (1998). “Computers Make Kids Smarter–Right?”. Technos Quarterly. No. 7. Krueger, A. B. (1999). “Experimental Estimates Of Educational Production Functions”. Quarterly Journal Of Economics. Vol. 114, No. 2, Pp. 497-532. Kulik, J. A. (1994). “Meta-Analysis Study Of Findings On Computer-Based Instruction”. In: E. L. Baker; H. F. O’neil. Technology Assessment In Education And Training. Hillsdale, Nj: Lawrence Erlbaum. Lazear, E. P. (2001). “Educational Production”. Quarterly Journal Of Economics. Vol. 66, No. 3, Pp. 777-803. Leuven, E.; Lindahl, M.; Oosterbeek, H.; Webbink, D. (2004). “The Effect Of Extra Funding For Disadvantaged Pupils On Achievement”. Iza Discussion Paper. No. 1122. Bonn: Institute For The Study Of Labor. Li, Y.; Le Boeuf, E. J.; Basu, P. K.; Turner, L. H. (2003). “Development Of A Web-Based Mass Transfer Processes Laboratory: System Development And Implementation”. Computer Applications In Engineering Education. Vol. 11, No. 1, Pp. 67-74. Lundin, J.; Magnusson, M. (2003). “Collaborative Learning In Mobile Work”. Journal Of Computer Assisted Learning. No. 19, Pp. 273-283. Mosteller, F. (1995). “The Tennessee Study Of Class Size In The Early School Grades”. The Future Of Children. Vol. 5, No. 2, Pp. 113-127. Murnane, R. J. (1975). The Impact Of School Resources On The Learning Of Inner City Children. Cambridge, Ma: Balinger Publishing Company Oecd (2006) Pozo, S.; Stull, C. A. (2006). “Requiring A Math Skills Unit: Results Of A Randomized Experiment”. American Economic Review. Vol 96, No.2, Pp. 437-441 Raudenbush, S Reid, R. (1983). “A Note On The Environment As A Factor Affecting Student Performance In Principles Of Economics”. Journal Of Economic Education. Vol. 14, No. 4, Pp. 18-22. Rivkin, S. G.; Hanushek, E. A.; Kain, J. F. (2005). “Teachers, Schools And Academic Achievement”. Econometrica. Vol. 73, No. 2, Pp. 417-458. Rockoff, J. E. (2004). “The Impact Of Individual Teachers On Student Achievement: Evidence From Panel Data”. American Economic Review Papers And Proceedings. Vol. 94, No. 2, Pp. 247-252. Rosenshine, B. (1971). Teaching Behaviors And Student Achievement. London: National Foundation For Educational Research. Sah, R. K.; Stiglitz, J. E. (1986). “The Architecture Of Economic Systems: Hierarchies And Polyarchies”. American Economic Review. Vol 47, No. 2, Pp. 173-184. Sharpe, A. (2004). “Ten Productivity Puzzles Facing Researchers”. International Productivity Monitor. Vol 9, Pp. 15-24. Sosin, K.; Blecha, B. J.; Agawal, R.; Bartlett, R. L.; Daniel, J. I. (2004). “Efficiency In The Use Of Technology In Economic Education: Some Preliminary Results”. American Economic Review. May 2004 (Papers And Proceedings), Pp. 253-258. Todd, P. E.; Wolpin, K. I. (2003). “On The Specification And Estimation Of The Production Function For Cognitive Achievement”. The Economic Journal. Vol.113, No. 485, Pp. F3-F33. Unesco (2003). Manual For Pilot Testing The Use Of Indicators To Assess Impact Of Ict Use In Education [Online]. Wilson, W. J. (1987). The Truly Disadvantaged. Chicago: The University Of Chicago Press.