Relationship between the Unified State Exam and Higher Education Performance
This paper analyzes the possibility of predicting efficiency of learning in a higher education institution based on results of the Unified State Exam (USE). In particular, the authors test the hypothesis that USE results in different subjects are equally efficient predictors of further student performance. Methods of regression analysis have been used to assess how preliminary examinations (both total USE points and points in specific subjects) affect academic performance in higher education. The research involved about 19,000 students enrolled at five Russian higher education institutions between 2009 and 2011. As long as the sample included institutions of different profiles, individual regressions were calculated for each faculty. A meta-analysis of regression coefficients was performed later to bring the data together. Average firstyear grade was used as the key university performance factor. It was found out that USE points were only related to performance in the second and the subsequent years through performance in the first year, i. e. indirectly. The research results allow to conclude that predictive capacity of total USE points is high enough to accept this examination as a valid student selection tool. The explained variation in university performance varies from 15 to 35% in different faculties. Predictive capacity of particular subjects making the USE total points is relatively the same, but USE points in mathematics and Russian are often the best predictors of performance. The paper also analyzes the relation between USE points and another student selection tool — results of academic competitions in specific subjects.
This article attempts to analyze the requirements of modern society living at the time of innovation-driven economy to education and determines the main objectives that, as the authors believe, should become the cornerstone in reforming the system of education.
Use this 2018 Neuroscience Meeting Planner to search all 2018 annual meeting sessions, presentations, and authors. Enter a keyword in the search box and then filter the results by day, theme, or session type or start with the pre-filtered results below.
The article deals with the problems related to combination and close interweaving of two mechanisms of functioning - official and unofficial (corruption) - in modern education in Russia. The assessments of illegal payments paid by households on different stages of the educational process are given in the article. The main attention is paid to the stage of entering the HEI and partly to the process of learning. Certain aspects of influence of wide spread occurrence of enrolment system based on Russian National Exam results over the illegal component of costs are demonstrated and discussed on a qualitative level. Results of representative surveys of households, interviewed regularly by «Public Opinion» Foundation and NRU - HSE ordered by Department of Education and Science of Russian Federation in 2002-2008, form the empirical basis for the article.
The concept and aim of evidence-based entrepreneurship (EBE) is discussed as a strategy to overcome the divide between knowledge developed in the field of entrepreneurship and its use in practice. We argue that meta-analyses can and should be used in entrepreneurship research (and that it should also be used for qualitative work).
The paper uses meta-analysis to investigate the evolution of returns to education in Russia during the economic transition. We present the evidence of strong increase in returns to education in the 1990s. The returns to education peaked at 8% per additional year of schooling in the early 2000s. Since the mid-2000s the positive trend has been reversed. We find that the estimated returns are sensitive to sample design, specification and estimation methods. On average the estimated returns are higher if one uses imputed (instead of actual) years of education and estimates earnings equation with the OLS. Among covariates, the form of ownership and settlement type (urban/ rural) has the largest effect on the estimated returns to education. Regional variables have significant impact on the estimated returns only being included into the earnings equation at the oblast (province) level.
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.