The effectiveness of vocational versus general secondary education: evidence from the PISA 2012 for countries with early tracking
In this paper, we examine the relative academic effectiveness of vocational education in three countries with early tracking systems: Austria, Croatia and Hungary.
We use an instrumental variables approach to estimate vocational education’s relative academic effectiveness in terms of achievement on an international test, the OECD’s Program of International Student Assessment (PISA), and two possible indicators of non-cognitive outcomes—self-efficacy in mathematics and intrinsic motivation in mathematics, both also available from the PISA student survey.
Our results show few, if any, differences in student gains from attending the vocational track in secondary school as opposed to the academic track. Specifically, the results show that attending the vocational or academic track results in similar achievement gains in the10th grade and generally similar gains in self-efficacy and motivation in mathematics.
The study is unique because in the three countries, we can use a fuzzy regression discontinuity approach based on school systems’ age entrance date rules to estimate the gain in test scores over an academic year and to compare the gain for students in the vocational and academic tracks. Our results contradict almost all other studies by showing that in these countries student academic gains in vocational education are about the same as in the academic track.
The authors estimate contribution of different factors in reading skills of 15?year-olds by using four models of multilevel regression analysis. It turned out that the most significant factor is family background — not only at the individual level, but at the school level as well (average school socio-economic status of schoolchildren families effects average reading skills). At the school level the aggregated family characteristics of students affect individual achievements, and this effect surpasses an effect of school resources and localization of schools — those school factors that show a significant contribution to achievement. Attitudes toward reading and learning are significant at the individual level, but at the school level children’s attitudes toward reading and school don’t make an independent contribution to the individual results.
The paper devoted to the analysis of the experience of developing the Russian language version of the questionnaire for the diagnostics of psychological capital and its scales: self-efficacy, optimism, hope, resilience. The phenomena of psychological capital is from organizational psychology field.
On the basis of PISA-2009 materials: Reading literacy The efficiency of one year of study was explored on the basis of PISA-2009 (reading) materials in seven countries: Russia, the Czech Republic, Hungary, Slovakia, Germany, Canada and Brazil. An instrumental variable was used, which enabled to assess the effect of one year of study by the nonstrict method of regression discontinuity. The analysis included both general educational programs and vocational educational programs together and comprehensive schools separately. It is found that in Russia the efficiency of one year of study is insignificant to all programs’ students. In the countries where early division into general educational and vocational programs is practised, the efficiency of studying is lower than in the countries where all pupils of 15 years old learn a general educational program. For general educational programs’ students the efficiency of studying is significant in all countries. Compared to the general educational trajectory, low efficiency is typical of vocational programs’ students. The way a family’s socio-economic status and efficiency of school education are interrelated and how much they are interrelated depends a lot on an educational system and vary widely by country. In Russia, as well as in some other countries, efficiency of studying does not depend on pupils’ socio-economic indices. The importance of the results obtained for assessment of efficiency of studying is discussed, and particularly for fair assessment of national achievements in countries with different sets of educational trajectories.
The Programme for International Student Assessment (PISA) is a worldwide study by the Organisation for Economic Co-operation and Development (OECD) in member and non-member nations of 15-year-old school pupils' scholastic performance on mathematics, science, and reading. It was first performed in 2000 and then repeated every three years. It is done with view to improving education policies and outcomes. The data has increasingly been used both to assess the impact of education quality on incomes and growth and for understanding what causes differences in achievement across nations.
The article is dedicated to the analysis of the connection of socio-demographic characteristics, educational achievements and contextual factors with the educational aspirations of Russian ninth graders. In addition, it examines how students’ aspirations and the level of education of their parents are interconnected. Particular attention is given to issues relating to the dynamics of aspirations depending on different trajectories of education after high school graduation. The analysis is based on data of the panel study “Trajectories in Education and Careers” (TREC: http:// trec.hse.ru/) of HSE Institute of Education.
This publication presents Russia results in PISA 2018. It also shows the dynamics of PISA scores in the 2000-s. The changes in different types of reading skills are presented as well as the proportion of functionally illiterate students. Besides the scores, the data that describes schools climate, including attitude to school, bullying, discipline in class, are analysed. Some issues related to the provision of schools with resources are being addressed.In addition, the social and territorial inequality of educational outcomes in Russia is described. In particular, PISA 2018 allows us to compare the results of the Moscow region and the Republic of Tatarstan with the average scores in the country. Based on the analysis, authots make basic hypothesis about possible changes in Russian education that can be associated with Russia results in PISA. At the end, the publication proposes some steps that could help to improve educational outcomes of Russian students. The publication will be interesting to a wide audience of specialists engaged in educational policy and practice, as well as to researchers of educational inequality and education quality factors.
The quality of education in the United States has been heavily criticized in part because of U.S. students’ performance on international tests, such as the Program for International Student Assessment (PISA) and the Trends in International Mathematics and Science Study (TIMSS). Although simple country averages may support such criticisms, there are many problems in comparing test scores of students in the U.S. as a whole with students in countries with very different social and educational environments. Not least of these problems is that students in the United States do not attend school in a “U.S. educational system,” but rather in at least 51 different systems, many of which have experienced very significant progress over time. The most relevant lessons for improving U.S. education may therefore be found in our successful states, rather than in other countries.
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.