INFLUENCE OF SCHOOL DISTANCE ON PUPILS’ ACADEMIC PERFORMANCE IN PUBLIC PRIMARY SCHOOLS IN BUNGOMA NORTH SUB-COUNTY, KENYA

Clare Chilande Wangoywa, Dr. Peter Simotwo, Dr. Emily Kirwok

Abstract


Public primary school pupils’ especially from rural areas who travel long distances to school face some challenges that make them perform poorly. This study aimed at examining the influence of school distance on pupils’ academic performance in public primary schools in Bungoma North Sub- Sub-county, Kenya. The study specifically: assessed the influence of School location on pupils’ academic performance in public primary schools in Bungoma North Sub- Sub-county, Kenya and examine the influence of Perceived factors on pupils’ academic performance in public primary schools in Bungoma North Sub- Sub-county, Kenya. The study will benefit the academicians, policymakers, and community members. This study was guided by the theory of justice and equality.  The study adopted descriptive research design with a target population of 1091 persons. The study adopted a stratified random sampling technique and sample size of 291 determined using Krejcie & Morgan table (1970). The study used structured questionnaires and interview guides as the main tools of data collection. The instrument was validated by the supervisors. The reliability of the instrument was determined through a pilot study. Quantitative data was analyzed using descriptive statistics and presented in tables, while qualitative data was analyzed according to the themes based on research questions and the objectives and thereafter, inferences and conclusions drawn. The study concluded that school locations and perceived factor influence pupils’ academic performance in public primary schools. It was recommended that the policy makers and community should consider School distance such as school locations and perceived factors when working towards improving pupils’ academic performance in public primary schools in Bungoma North Sub- Sub-county, Kenya.

Keywords: School Location, Perceived Factors, Academic Performance

 

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References


Asahi, K. (2016). Proximity to the subway network means lower test scores; evidence of subway spread.

Baker, Sue and Vossman, L. (2009). Could the site be wrong ? Human Capital Theory and Puritan Economic History. Quarterly Review of Economics, 124(2), 531-596.

Banerjee, A. and Duflo, E. (2006). No address is required. Journal of Economic Theory, 20 (1), 117-132.

Baum CF, Schafer ME, Stillman S. (2007) . Advanced testing of GMM tools with means/variables. Journal of Statistics, 7(4), 465-506.

Chu Maseru RA, Gomez D., Walls RD (2011). I travel 500 kilometers (if necessary). map and school options in Chile. Economics of Education Review, 30(5), 1103-1114.

Clebergen, F. & Son, R. (2006). The low index uses the same hash value. Journal of Economics, 133(1), 97-126.

Dickerson, A. ; Mackintosh, S. (2013) . The effect of distance from the nearest educational institution on post-compulsory educational decisions. Community Studies, 50(4), 742-758.

Duflo, E. and Hannah, R.; (2005) presented a paper. Occupation: school teacher (number V11880). National Bureau of Economic Research.

Falcht T., Lozala B., Strom B. (2013). Regional issues and learning opportunities. Basic Science and Urban Economics, 43(1), 164-176.

Gallego, FA, & Hernando, A. (2009). School choice in Chile. as desired.

Gibbon, C. and. and Vignoles, A. (2012). Choose geography and pursue higher education in Luxembourg. Basic Science and Urban Economics, 42(1-2), 98-113.

Hanushek E. and Vosman L. _. (2007) presented. The impact of education quality on economic growth. New Jersey. Princeton University Press

Jr. RG, Levitt SD (2010) . Effective analysis of gender differences in statistics. American Journal of Economics. Applied Economics, 2(2), 210-40.

Kjellstrom, C., Regner, H. (1999). The impact of geographical distance on the university education decision. Scandinavian Journal of Educational Research, 43(4), 335-348.

Kobus MB, Van Ommeren JN, Rietveld P (2015). When pupils’ go to college and work in public schools. Basic Science and Urban Economics, 52, 129-140.

Lochner, L., & Moretti, E. (2004). The impact of criminal education. evidence of arrest and detention of prisoners. American Economic Review, 155-189.

Milligan, K., Moretti, E. and Oriopoulos, B. (2004). Can sex education improve? Evidence from the United States and the United Kingdom. Journal of Social Economics, 88(9), 1667-1695.

Northman, J., Olson, LE, Garling, T., & Freeman, M. Physiotherapy (2015). School trips for children. Satisfaction with the present and understanding of the learning process. Street, 1-18.

Parada, F. (2014). Teachers like me or pupils’ like me? Participatory measures and outcomes of teacher support. Economic Research in Education, 39, 38-49.

Rifkin SJ, Hanushek EA, Kahn GF (2005). School teachers and teaching practice. Economics, 73 (2), 417–458.

SA, C., Florak, RJ, & Rietveld, P. (2006) Does secondary education matter? Holland High School Scholarship. Home Economics Review, 1(2), 155-174. But class is different from poverty. Social Issues, Vol 50 (2); 181-2

Stager DO, Stock JH (1997) . Submit changes to your device with vulnerable hardware. Econometrics, 65 (3), 557-586.

Temple No. (2002). Impact on Development, Education and Public Finance in OECD Countries. Social work history, 5-46.

Tiger R, Sampaio B. and Menezes, T. Natural therapies. (2017) presented a paper. Effect of travel time on pupils performance. Journal of Basic Science, 57(1), 28-47.

Tools, JH, Wright, JH, & Yogo, M. (2002). Check for faulty devices and look for common keystroke errors. Journal of Economics and Business Statistics, 20(4), 518-529.

Tools, J. H. and Yogo, M. (2005). The car failed the test and crashed into the fourth row. Specifications and conceptual economic models. courtesy of Thomas Rosenberg in the 1980s.

Yu D., TS (2004). Do citizens reward education? Journal of Social Economics, 88(9), 1697-1720.


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