Нынешний раунд Болонского процесса: Россия и не только… (по работам В.И. Байденко и Н.А. Селезневой)
The entry of the national system of higher education in the Bologna process is explained in the article by economic circumstances – an attempt to reduce its budgetary financing by switching to a two-tier structure in the face of an unfavorable combination of demographic and financial conditions at the turn of the millennium. There are also considered such problems as: the Bologna process and the Russian educational policy today, the Bologna process and the market, the Bologna process and the modern pedagogical revolution with the involvement of the materials of the three review articles by V.I. Baidenko and N.A. Selezneva. The problem of combining the spirit of the Bologna process, based on the horizontal links of universities, with the traditional distributing economy for Russia, is discussed.
The develoopment of the technical regulation in the Russian medicine in the end 20 ссутегкн and in 21 century was called 'standardization' and included the range of aspects regulated by federal documents, regulating health care and the financing.
The article discusses the role of the monitoring of students' opinions in National Research University Higher School of Economics. It is argued that the monitoring might be an efficient tool of assessment that allows to foresee possible problems and make proactive managerial decisions aimed to continuous enhancement of quality.
The aim of this research was to contribute to the discussion on the role of visual methods in improving student learning. Visual methods provide means to understand the practices of representations as cultural texts, to develop interpretations of meanings in socio-cultural context, to decode images of social relations and individual experience. Visual sources play a growing role in social studies as well as in teaching as they offer new routes to understanding the past and the present. It was anticipated that when students learn to interpret visual images of social issues as constructs and metaphors in addition to reading relevant literature they might develop critical and contextual imagination, namely connect individual incidences to historical conditions and social institutions, to link seemingly impersonal and remote forces with the lives of real people in concrete institutional and symbolic environments. The main data set included anonymous student journals and portfolio with assignments. The study documented student discourse around visual methods implementation and examined student identities as sociologists, their perceptions of academic expectations at universities, their views of the curriculum, and their identity claims. The results are concerned with the outcomes of teaching and learning considered not only in relation to visual methods but also to the public sphere and sociology. The more and less desirable identity for a sociologist was articulated, some tensions and biases were discovered but more research is needed in order to see more explicitly the role of visual methods and other pedagogical tools in overcoming these barriers.
Appearance and spreading of massive online open courses (MOOC) start the era of restructuration of the modern-day education. The questions of quality assurance and integration MOOCs with traditional educational processes are quite popular. Even though quality assurance is richly studied area now, a question of how to estimate a change of quality of a repeated course with modifications in its content is still open. The paper reports on the in-progress investigation that introduces dynamic course quality (DCQ) concept and settles a matter of its evaluation by adoption statistical framework of randomized controlled trials to educational data gained from the Stepik MOOC platform. Nowadays, the framework has been adopted to the Introductory Statistics course. Limitations of a method have been reported, requirements for educational data sources have been elaborated.
The article presents ways to optimise ELT in higher education in conjuction with the new Russian federal Educational Standards based on competence-based education.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.