Expanding Access and Increasing Student Learning in Post-Primary Education in Developing Countries: A Review of the Evidence

Effective, evidence-based policies on post-primary education are of vital importance as many developing countries start to the see a bulge in secondary and postsecondary enrollment, the product of the achievement of near-universal access to primary school. Finding ways to deliver and promote access to high-quality post-primary education, and to ensure that education is relevant to labor market needs, is one of the great challenges of our times. This must be accomplished in countries where governments face severe budget constraints and many, of not most, parents are too poor to cover the costs out of pocket.International reports such as "A Global Compact on Learning", by the Center for Universal Education at the Brookings Institution, emphasize providing opportunities for post-primary education as a first-tier policy challenge. In addition, there has been considerably less progress in gender parity at the secondary level. Meeting these challenges will require a combination of using existing resources more effectively -- which requires both understanding which inputs are key and which are not -- and a range of innovations that may fundamentally alter the current methods of instruction. To that end, the Abdul Latif Jameel Poverty Action Lab (J-PAL) has launched a Post-Primary Education Initiative intended to promote policy-relevant research on secondary and post-secondary education in developing countries, which together will be referred to as post-primary education. This paper is a first step in that process. It reviews the evidence to date on post-primary education and highlight the gaps in the literature, with a focus on identifying policies that should be given the highest priority for future researchDifferent countries define primary and secondary schooling differently, and in many countries students attend middle schools, upper primary schools, or junior secondary schools before attending secondary school. For the purpose of this review, "post-primary education" includes everything from upper primary, middle, or junior secondary school through tertiary education, as defined by the local context in different countries, including vocational school and other alternative tracks for this age group. In practice, this means that in the research reviewed, the majority of children are in 5th grade (i.e. 10-11 years old) and older.The review is organized as follows. Section II provides some background on postprimary education in the developing world. Section III explains how papers were selected for this review. Section IV presents a conceptual framework for thinking about postprimary education (PPE), including a brief discussion of measuring outcomes. Section V reviews the evidence pertaining to the demand for schooling (the impact of policies that attempt to increase the willingness of households to send their children to school), and Section VI reviews the evidence on the supply of schooling (the impact of policies that change school and teacher characteristics, and more generally how schools are organized). A final section summarizes the findings, highlighting several research gaps that should receive high priority in future research

Pao-Lu Hsu (Xu, Bao-lu): The Grandparent of Probability and Statistics in China

The years 1910-1911 are auspicious years in Chinese mathematics with the births of Pao-Lu Hsu, Luo-Keng Hua and Shiing-Shen Chern. These three began the development of modern mathematics in China: Hsu in probability and statistics, Hua in number theory, and Chern in differential geometry. We here review some facts about the life of P.-L. Hsu which have been uncovered recently, and then discuss some of his contributions. We have drawn heavily on three papers in the 1979 Annals of Statistics (volume 7, pages 467-483) by T. W. Anderson, K. L. Chung and E. L. Lehmann, as well as an article by Jiang Ze-Han and Duan Xue-Fu in Hsu's collected papers.Comment: Published in at http://dx.doi.org/10.1214/12-STS387 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Design of engineering systems in Polish mines in the third quarter of the 20th century

Participation of mathematicians in the implementation of economic projects in Poland, in which mathematics-based methods played an important role, happened sporadically in the past. Usually methods known from publications and verified were adapted to solving related problems. The subject of this paper is the cooperation between mathematicians and engineers in Wroc{\l}aw in the second half of the twentieth century established in the form of an analysis of the effectiveness of engineering systems used in mining. The results of this cooperation showed that at the design stage of technical systems it is necessary to take into account factors that could not have been rationally controlled before. The need to explain various aspects of future exploitation was a strong motivation for the development of mathematical modeling methods. These methods also opened research topics in the theory of stochastic processes and graph theory. The social aspects of this cooperation are also interesting.Comment: 45 pages, 11 figures, 116 reference

Developing Of The Related Data Search Lsa-based Algorithm And Its Programmed Realization

In this article let\u27s consider the theoretical basis of the data search in large data ordered arrays based on the context of the search request and tracking of semantic relationships. Also the first steps towards the practical implementation of this task are proposed. Simple program to check author\u27s thoughts has been developed. All the researches have been made with the VK social network. Internal API VK was used as retrieving data tool. The final results say that the VK\u27s content has many opportunities to make them more useful and searchable, which means that it is possible to use this ‘property\u27 to create our own, more user-friendly way to search and get important data, in the first, for example, buying-selling information, from many kinds of data sources (official pages, users\u27 profiles etc.). That feature never been presented (and probably won\u27t) in other social networks like Facebook or Instagram. The material in this article will be used later while the author\u27s PhD thesis writing