Challenges faced by Kibera slums non-formal primary schools and attempt to harmonize learning with formal education in Nairobi

dc.contributor.advisorOlembo, J. A.
dc.contributor.authorMwachi, J. S.
dc.date.accessioned2012-01-04T08:29:11Z
dc.date.available2012-01-04T08:29:11Z
dc.date.issued2012-01-04
dc.descriptionDepartment of Educational Management Policy & Curriculum Studies, 92p.The LC 45.8K4M83 2005en_US
dc.description.abstractThe Government of Kenya has a responsibility towards its citizens to provide quality and relevant basic education. For economic advancements to occur, there must be a skilled human resource that is productively employed. Universal Primary Education by 2005, and raising transition rates for primary to secondary school from 40% to 80% (MPET 2002-2008) remains unfulfilled. The national objective to promote non-formal education and establish mechanisms for transition into formal education has not been put in place. Previously, cost-sharing strategies in financing education proved prohibitive to most households. To this end non-formal schools began to mushroom in the slum areas, which had developed in all urban areas. These schools provided cheaper education than that of public schools, as the requirements on parents were limited. Retention and completion became the overriding factors when enrolling pupils. This study was aimed at investigating the challenges that face non-formal schools in their attempt to harmonize learning with formal schools. It also attempted to offer remedies to the identified causes that led to the breakdown of academic programmes. The study employed a descriptive survey design while using the questionnaire, the interview schedule and observations schedule as data collection instruments. The school heads, managers, deputies, teachers and area chief provided the necessary information. The target population was all the primary schools in Kibera slums. A purposive method was used to select the sample. The data was presented in form of pie charts, tables and qualitative statements after analysis of data collected in the field. Data analysis was done by organising the collected information into codes themes and categories so as to determine relationships in these categories. Finally, the computer software SPSS Text Editor was used to analyse the data.en_US
dc.description.sponsorshipKenyatta Universityen_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/2231
dc.language.isoenen_US
dc.subjectSlumsen_US
dc.subjectNon-formal education
dc.subjectEducation and the state
dc.titleChallenges faced by Kibera slums non-formal primary schools and attempt to harmonize learning with formal education in Nairobien_US
dc.typeThesisen_US
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