This research synthesizes data and presents it using mapping software to help to identify potential site locations for community-centered higher education alternatives and more traditional junior-level colleges in Uganda. What factors can be used to quantify one site over another for the location of such an institution and if these factors can be isolated; why should they be used by local authorities? the variables are secured from the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ), Afrobarometer, census data, as well as technology reports and surveys. These variables are reduced, grouped and mapped to help determine the best location for a junior-level college. the use of local expert opinion on geopolitical, economic, and educational situations can be interfaced with the database data to identify potential sites for junior-level colleges with the potential to reduce the failure rate of such post-secondary school ventures. These data are analyzed in the context of reported higher education policies and outcomes from the national ministries, United Nations Educational, Scientific and Cultural Organization (UNESCO), quality assurances agencies in the region, the World Bank, and national datasets. the final product is a model and tool that can be used by local experts to better select future sites to expand higher education, especially in rural areas in the least developed countries.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc115098 |
| Date | 05 1900 |
| Creators | Iaeger, Paula Irene |
| Contributors | Cutright, Marc, 1952-, Clark, Allen, Whitson, Kathleen K. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Iaeger, Paula Irene, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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