Образование как фактор экономического роста
Propaedeutics of engineering culture in the school should not be limited by familiarity with the school robotics. It is necessary to the development of other components of the engineering culture, such as TRIZ, system analysis, project management, and others. The possible content of these components and the ability of their studying in the "Permian version" of a propaedeutic course of computer science ("TRIZformatics") and contest "TRIZformashka" are discussed.
The collection contains materials, reports and presentations at the II International scientific-practical conference "Innovative technologies in cinema and education", held 21-25 September 2015 in Moscow at the Russian State Institute of Cinematography named after SA Gerasimov. For cameramen, of Cinema, the film industry education teachers as well as students and other professionals.
During the 14th and 15th October 2017, a conference organized by Ben Eklof (Indiana University), Igor Fedyukin (Higher School of Economics (Moscow), Tatiana Saburova (Higher School of Economics, Indiana University), Elena Vishlenkova (Higher School of Economics, Moscow) has been held at the Indiana University Europe Gateway at CIEE Global Institute (Berlin) with the aim to discuss new narratives about the history of Russian education, aroused by James C. Scott’s books, Seeking like a State. How Certain Schemes to Improve the Human Condition Have Failed (1998), in particular on the basis of the concept of “high modernism” in its effort to redesign society and of the role of knowledge in the context of social and economic changes.
We expect economic growth to remain strong in Poland and Latvia in 2016. Despite this robust growth, the new Polish government is likely to soften monetary and fiscal policies to further stimulate the economy, in our view. In 2015, the Latvian economy demonstrated strong resilience to external shocks.
Usually marketization is associated with the commercialization as the desire for recovery of the profit. This means replacing the educational functions to the provision of services, with all the unfortunate consequences. However, such an approach is superficial and emotional. The orientation of higher education on the client is very appropriate. Moreover, it is able to put a lot into place.
Software engineering education (SEE) process simulates the main professional software lifecycle processes such as analysis, design, construction and maintenance (see SWEBoK, ITIL, etc.). The necessity of meeting both educational needs and requirements from industry explains that using Supported Collaborative Learning (CSCL) techniques in software engineering (SE) should be based on professional tools or on similar to them. The main purpose of this work is to fill the gap between the SEE needs and the current trends in CSCL development. We generalize world experience and suggest the framework of using industry approved methods and tools. We compare CSCL tools and the other collaborative services; analyze the teaching experience of several SE courses supported by different collaborative methods and collaborative web-services. Special attention is paid to formative feedback implementation. Following achieved result we suppose that using best practices from SE will enrich CSCL methodology and tools not only for SE field, but also for other areas of knowledge.
Articles and presentations of Russian researchers, dedicating to different aspects of the United States foreign and domestic policy, actual issues of American historiography, problems of history of literature, linguistics and pedagogy are include in the book. For scholars, teachers, students, for everyone who is interested in the problems of American studies.
The fundamental idea underpinning spatial econometric models of economic growth is as follows: regional growth is determined not only by social, economic, geographic traits of a region but also by spillovers from other regions, most importantly adjacent ones. If one region starts booming, it can left neighbors unaffected (neutral mechanism), spur their growth (cooperation mechanism) or slow their growth by pulling resources over (competition mechanism). What mechanism and to which extent occurs in practice matters for designing balanced economic policy and evaluating efficiency of regional policy investment. Classic spatial econometric models make strong although simplifying assumption that the same mechanism matters for all regions in the same manner, and there is no variation in spillovers intensity across regions. This assumption seems plausible for relatively small and homogenous regions of European countries, but it looks excessively strong for large and diverse Russian regions. In this paper we attempt to relax this assumption and propose a new model, fitting better in Russian conditions and bringing only slight sophistication from the estimation point of view. We introduce sensitivity parameter governing regional exposure to externalities. We assume this parameter to be a linear function of region-level observables, like area, population density or urbanization rate. These hypotheses have been confirmed at least partially. We found that dense and urbanized regions were more sensitive to spillovers. In other words, a region surrounded by the fast-growing areas, will grow the more intense, the more its population density and the higher the level of urbanization.