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To assign teachers to schools, a modified version of the well-known deferred acceptance mechanism has been proposed in the literature and is used in practice. We show that this mechanism fails to be fair and efficient for both teachers and schools. We identify a class of strategyproof mechanisms that cannot be improved upon in terms of both efficiency and fairness. Using a rich dataset on teachers’ applications in France, we estimate teachers preferences and perform a counterfactual analysis....
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In this study the authors have looked at the impact of school mapping in the development of education in Tanzania. The study examined the experiences of six districts where school mapping exercises were carried out. The key question that guided the study is what happened after school mapping. Through a combination of instruments and/or techniques—interviews, questionnaires, focus group discussion, and document analysis, the study found that school mapping impacted in varying degrees...
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Geographical Information System (GIS) is an application used to process data in form of thematic maps which is arranged overlapping to produce informations needed by the user. Employing descriptive method, this study indicated that basically the GIS deve
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The aim of this study was to investigate the relationship between school distance and academic achievement of primary school pupils in Ovia North-East LGA. As a guide to this study, four research questions as well as three hypotheses were tested the correlational research design was adopted for this study. The population of the study comprised all primary schools in Ovia North-East LGA. There are one hundred and one primary schools out of which twenty schools (20%) were sampled using the...
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Despite the strong relationship between geography and education policy, educational research tends to draw from other fields of inquiry such as economics, political science, and history. This special topics collection centers the usefulness of geography and place in educational policy research. The introduction explains the rationale for the collection and discusses the themes and articles in the collection. We conclude with a call for researchers, policy makers, and colleges of education to...
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Spatial datasets of building footprint polygons are becoming more widely available and accessible for many areas in the world. These datasets are important inputs for a range of different analyses, such as understanding the development of cities, identifying areas at risk of disasters, and mapping the distribution of populations. The growth of high spatial resolution imagery and computing power is enabling automated procedures to extract and map building footprints for whole countries. These...
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Utilising satellite images for planning and development is becoming a common practice as computational power and machine learning capabilities expand. In this paper, we explore the use of satellite image derived building footprint data to classify the residential status of urban buildings in low and middle income countries. A recently developed ensemble machine learning building classification model is applied for the first time to the Democratic Republic of the Congo, and to Nigeria. The...
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A spatial decision support system based on geo-informatics and spatial modelling tools has been used to provide a reorganization plan of school networks, The study was undertaken in collaboration with the Ministry of Education and Research of Estonia
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Geodata in Education
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