XVII Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
This article examines how migrant background influences educational outcomes of schoolchildren in Moscow and its oblast (region). We use logit regressions for panel data, over the years 2010 to 2013, taken from the Russia Longitudinal Monitoring Survey (RLMS-HSE). As dependent variable we use educational progress approached by school grades as reported by parents or adult relatives. In addition, our econometric specification includes control variables such as socioeconomic status, type of school, health issues, gender, and age, to test the impact of migration status on the probability of being classified as a successful or unsuccessful student. The findings suggest that there is no difference between migrant and native schoolchildren, that is, migration background does not influence the educational achievements of pupils. On the other hand, as we expected, socioeconomic status has a negative impact on the probability of being classified an unsuccessful student. Boys have lower probabilities than girls of being classified as excellent students. Attendance of public regular schools negatively affects the probability of being an excellent student, health issues do not significantly affect the academic performance, while older students are low-performing.
An analysis of the opinions of the teachers of the Perm Krai schools about the classroom's educational achievements showed that teachers prefer to work in "homogeneous" classes. They preferred a class with a low average score, without "excellent students", but without underachieving students. And they perceived a class with a high average score, with a large share of "excellent students", but with the underachieving student as the worst. The presence of "excellent" individual results of students in external monitoring turned out to be unimportant in determining the level of class achievements and in assessing the success of the teacher's work.
In this paper we would like to have a closer look at the research of the semantic domain of OLD across languages. For MLexT the typological study of OLD was a novice project — it was largely dictionary based and the sample included more than a hundred languages (much more than the average number of 5–8 languages analyzed in a regular research of this kind).
The article presents some of the results of the project "Monitoring the Russian media literacy of the population", which is being conducted by ZIRCON Research Group since 2009. The latest whole-Russian mass survey was conducted in the autumn 2015.