UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| ABSTRACT The Ministry of Education Malaysia (MOE) has achieved remarkable successes midway between the implementation of education policy for all through the Malaysia Education Development Plan 2013-2025. However, dropout, especially at the secondary school level, relics stagnant as an educational issue in the country. Therefore, this study aims to identify the changes in the spatial pattern of dropout among secondary school students in Sarawak for a study period of six years starting from 2013 to 2018. The spatial methods applied in this study to identify dropout hotspot areas for secondary school students are Getis-Ord Gi* and polygon grid (fishnet). The analysis conducted from 2013 to 2018 revealed that the hotspot areas for secondary school dropouts were intense within the District Education Office of Kuching, Sibu, and Bintulu. In conclusion, the identification of student dropout hot spots based on time and space is very important so that intervention programmes to manage dropout can be implemented based on location. The findings of this study can help stakeholders of secondary school education in Sarawak to emphasis more on the hotspot areas that have been identified. |
| References |
Abotsi, Anselm Komla, Yaganumah, N., & Obeng, H. E. (2018). Dropouts Issues and Its Economic Implications: Evidence From Rural Communities in Ghana. Journal of Economics and Economic Education Research, 19(1), 1-13. Ajaja, P. O. (2012). School Dropout Pattern among Senior Secondary Schools in Delta State, Nigeria. International Education Studies, 5(2), 145-153. Buop, A., O. Aloka, P. J. O., Nyaswa, P. (2018). School Based Factors Influencing Dropout Among Primary School Pupils in Kenya. International Journal of Advanced and Multidisciplinary Social Science, 4(1), 1-7. De Witte, K., & Rogge, N. (2013). Dropout from Secondary Education: All’s well that begins well. European Journal of Education, 48(1), 131-149. ESRI.(2021).What is z-score? What is p-value? [online] Available at: https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/what-is-a-z-score-what-is-a-p-value.htm [Assessed on 15 April 2021 Glennie, E., Bonneau, K., & Dodge, K. A. (2013). Addition by Subtraction: The Relation Between Dropout Rates and School-Level Academic Achievement. Teachers College Record, 114(8)(1970), 1-26. Hanewicz, C. (2009). Identifying Student Retention Patterns Using GIS Technology. PICMET 2009 Proceedings, August 2-6, Portland, Oregon USA. Ioana, M. I., Anda, M. I., Cornelia, P., & Mariana, C. R. (2015). School Dropout – A Social Problem in Romania. Procedia - Social and Behavioral Sciences, 182, 623-628. Kishore, A. R., & Shaji, K. (2012). School Dropouts: Examining the Space of Reasons. Indian Journal of Psychological Medicine, 34(4), 318-323. Prevatt, F., & Kelly, F. D. (2003). Dropping out of school : A review of intervention programs. Journal of School Psychology, 41, 377-395. Rasmy, M. I., Selvadurai, S., & Sulehan, J. (2017). Social Environmental Determinants of Student Dropout in the Plantation Settlement. Geografia Online: Malaysian Journal of Society and Space, 13(2), 54-64. Rumberger, R. W., Ghatak, R., Poulos, G., Ritter, P. L., Sanford, M., Rumberger, W., Dornbusch, M. (1990). Family Influences on Dropout Behavior in California high School. Sociology of Education, 63(4), 283-299. Taş, A., Selvìtopu, A., Bora, V., & Demìrkaya, Y. (2013). Reasons for dropout for vocational high school students. Kuram ve Uygulamada Egitim Bilimleri, 13(3), 1561-1565. Marzuki, M., Mapjabil, J., & Mohd Zainol, R. (2014). Mengupas Keciciran Pelajar Orang Asli Malaysia: Suatu Tinjauan ke Dalam Isu Aksesibiliti Sekolah. Malaysian Journal Society and Space, 10(2), 189-198. Mokshein, S. E., Wong, K. T., & Ibrahim, H. (2016). Trend and Factors for Dropout Among Secondary School Students in Perak. Journal of Research Policy & Practice of Teachers & Teacher Education, 6(1), 5-15. Rasmy, M. I., Selvadurai, S., & Sulehan, J. (2017). Social Environmental Determinants of Student Dropout in the Plantation Settlement. Malaysian Journal of Society and Space, 13(2), 54-64. Md Nor, S., Roslan, S., Mohamed A., Abu Hassan, K., Mat Ali, M. A., Abdul Manaf, J. (2011). Dropout Prevention Initiative s for Malaysian Indigenous Orang Asli Children. The International Journal on School Disaffection, 42-56. Nagaraj, S., Lee., K. H., Goh, K, L., & Tey, N. P. (2016). Malaysian Adolescents Not in School: The Nexus of Education, Work and Gender. Malaysian Journal of Economic Studies, 53(1), 87-113. Hashim, H., Sadek, E.S.S.M., & Wan Mohd, W.M.N. (2018). The Spatial Distribution of Hot Spot Schools and the Relationship with Crime Pattern in Mukim Petaling and Klang. https://www.researchgate.net/journal/IOP-Conference-Series-Earth-and-Environmental-Science-1755-1315, 169(1). Jubit, N., Masron, T., & Marzuki, A. (2020). Analyzing the spatial temporal of property crime hot spots. A case study of Kuching, Sarawak. Journal of the Malaysian Institute of Planners, 18(4), 1-11. Harris, N. L., Goldman, E., Gabris, C., Nordling, J., Minnemeyer, S., Ansari, S., Lippmann, M., Bennett, L., Raad, M., Hansen, M. (2017). Using Spatial statistics to identify emerging hot spots of forest loss. Environmental Research Letters, 12(2). 2-13. Hoeurn, (2021). School Drop-Out Risk Hotspot Analysis: Statistical Analysis Report. Phnom Penh, Cambodia: Save the Children Cambodia. Soares, T. M., Fernandes, N. D. S., Nobrega, M. C., & Nicolla, A. C. (2015). Factors associated with dropout rates in public secondary education in Minas Gerais. Education Pesqui, 41(3). 757-772.
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