Which Teaching Practices Improve Student Performance on High-Stakes Exams? Evidence from Russia
This study examines the relationship between student achievement and teaching practices aimed at raising student performance on a high stakes college entrance examination—the Russian Unified State Exam (USE). Data come from a survey of 3000 students conducted in 2010 in three Russian regions, and the analysis employs a student fixed effects method that estimates the impact of mathematics and Russian language teachers’ practices in advanced and basic tracks on students’ exam results. The study finds that the only practices positively affecting test outcomes are greater amounts of subject-specific homework, and that the most effective type of homework differs across tracks.
The competence of mathematical modelling is well conceptualized, thought a much-debated question is how to develop it in schools. International achievement test PISA consider mathematics achievements from the modelling perspective (formulating, employing and interpreting), and provides us with comprehensive data to analyze school factors in math results from the comparative perspective. The goal of our study was to estimate the effect of teaching practices on students’ achievements in different PISA mathematical processes while controlling prior achievements (TIMSS).
Articles and theses of reports on use of educational and information technologies in teaching and educational process of the higher and high school are presented in the collection. In work requirements according to which standards and curricula in the Applied Mathematics and Informatics direction are developed are formulated
The brochure presents the curriculum for third- and fourth-year students of Higher School of Economics, studying English as a second language at the Department of World Economy and International Affairs.
We study how the achievements of university students are influenced by the characteristics and achievements of peers in individuals’ social networks. Defining peer group in terms of friendship and study partner ties enables us to apply a network regression model and thereby disentangle the influence of peers’ performance from that of peers’ background. We find significant positive peer effects via the academic achievements of friends and study partners. Students’ grades increase with the abilities of study partners, who may or may not also be friends; no such effect is observed for friends who are not also study partners. Additionally, the effects of the abilities of other classmates are found to be insignificant. The results support the claim that peer influence acts mainly through knowledge-sharing channels between students who are connected by social ties
We estimate the influence of classmates’ ability characteristics on student achievement in exogenously formed university student groups. The study uses administrative data on undergraduate students at a large selective university in Russia. The presence of high-ability classmates has a significant positive effect on individual grades in key economics and mathematics courses as well as on overall academic performance. While a simple linear-in-means model reveals moderate peer effects, non-linear specifications give strong evidence that students at the top of the ability distribution derive the greatest benefit from high-ability classmates. Less able students are not affected by peers and have no significant influence on peers’ outcomes.
Period of training in a higher school is a threshold on the professional life way, therefore, it reflects the willingness to vigorously respond to all the vicissitudes of life and desire for constant self-improvement. Data collection is produced at the Higher School of Economics, Department of Management. We assumed that students with high levels of emotional intelligence must have a high rank.
In the issue the place of health literacy in the actual Russian and foreign school curricula is discussed. The research focuses on the basics of epidemiology and virology as important areas that help student training to get them prepared for such actual challenges as mass infectious disease outbreaks caused by the specific traits of the nowadays reality. The publication represents an analysis of Russian educational programs and textbooks on biology subject, as well as life safety fundamentals, and social science subjects. On the basis of the research outcomes, the recommendations for updating the content of Russian educational programs in biology and life safety fundamentals were developed.
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.