Диссертация (1146854), страница 34
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Сводные результаты по критериям у слушателей с ИОТ90%80%70%60%50%низкий40%средний30%высокий20%10%0%Диск К Лингв к Реч К Функц Диск К Лингв Реч К ФункцнананаК нанаК нанаК навходе входе входе входе выходе выходе выходе выходеРис.3. Сводные результаты по критериям у слушателей без ИОТ.217120%100%80%60%40%высокий20%средний0%низкийРис.4. Сводные результаты по критериям у слушателей с ИОТ100%90%80%70%60%50%40%30%20%10%0%высокийсреднийнизкийРис.5.
Сводные результаты по критериям у слушателей без ИОТ218120%100%80%60%высокийсредний40%низкий20%0%Диск К Лингв Реч К с Функц Диск К Лингв Реч К Функцс ИОТ К сИОТКсбез К без без К безИОТИОТ ИОТ ИОТ ИОТ ИОТРис. 6. Сравнительные результаты структуры ПИКК у слушателей с ИОТ и безИОТ.Функц К безИОТРеч К без ИОТДиск К с ИОТ100%80%60%40%20%0%Лингв К с ИОТнизкийРеч К с ИОТсреднийвысокийЛингв К безИОТФункц К с ИОТДиск К без ИОТРис.
7. Сравнительные результаты структуры ПИКК у слушателей с ИОТ и безИОТ.219сравнительный анализ результатов100%50%0%Диск К ЛингвРеч К с Функцс ИОТ К сДиск К ЛингвИОТКсбезИОТК безИОТИОТИОТнизкийсреднийРеч КбезИОТФункцК безИОТвысокийРис. 8. Сравнительные результаты структуры ПИКК у слушателей с ИОТ и безИОТ.Название осиСтруктура ПИКК90%80%70%60%50%40%30%20%10%0%Диск Кс ИОТДиск К ЛингвбезКсИОТИОТЛингвРеч КРеч К сК безбезИОТИОТИОТФункц ФункцКсК безИОТИОТнизкий14%26%16%26%4%29%0%0%средний52%66%52%60%42%66%44%82%высокий34%8%32%14%54%5%56%18%Рис. 9. Сравнительные результаты структуры ПИКК у слушателей с ИОТ и безИОТ.220Приложение 4.Результаты расчета критерия χ2Пирсона.Дискурсивный критерийЧисло степеней свободы равно 2Значение критерия χ2 составляет 20.264Критическое значение χ2 при уровне значимости p<0.01 составляет 9.21Связь между факторным и результативным признаками статистически значимапри уровне значимости р<0.01Лингвистический критерийЧисло степеней свободы равно 2Значение критерия χ2 составляет 10.428Критическое значение χ2 при уровне значимости p<0.01 составляет 9.21Связь между факторным и результативным признаками статистически значимапри уровне значимости р<0.01Речевой критерийЧисло степеней свободы равно 2Значение критерия χ2 составляет 69.156Критическое значение χ2 при уровне значимости p<0.01 составляет 9.21Связь между факторным и результативным признаками статистически значимапри уровне значимости р<0.01Функциональный критерийЧисло степеней свободы равно 2Значение критерия χ2 составляет NaNКритическое значение χ2 при уровне значимости p<0.05 составляет 5.991Связь между факторным и результативным признаками отсутствует, уровеньзначимости р>0.05Эффективность комплекса педагогической поддержки .221Число степеней свободы равно 2Значение критерия χ2 составляет 73.586Критическое значение χ2 при уровне значимости p<0.01 составляет 9.21Связь между факторным и результативным признаками статистически значимапри уровне значимости р<0.01222Приложение 6.Приложение 11.Результаты образовательной деятельности слушателей курса «Создание ичтение лекции на английском языке»Пример презентации 1223Пример презентации 2.224225Пример презентации 3226227228229Пример презентации 4230The influence offoreign labour migrationon the russian labour marketSvetlana Sigova, Doctor of Economics,Chief ResearcherNatalia Parikova, Master in Economics,Junior ResearcherPetrozavodsk State University23 October 2012Institute of Migration, TurkuAgendaShort revue of migration flows in RussiaRegions “attractiveness” for foreign labourmigrantsA quantitative assessment of foreign labourmigration on the russian's economyThe fundamental logic scheme of foreign labormigrants calculation in terms of economicdevelopment all regionsConclusionPetrSU231IntroductionThecrucialissue forRussiaProvision of competentemployeesAging populationForeign labormigration (FLM)Positive impactNegative impactPetrSUGoalsQuantitative assessment FLM impact on theregional economy and labour market;Foreign migrants forecast for the Russianeconomy.PetrSU232DefinitionForeign labourmigrationEmployees movingto find workPetrSUBridging the gapbetween the D and S onthe labour market2332342352362375.Пример аннотации 1The AbstractEducation:New Trends and ExperiencesEmployability issues and trendsEducation system possibilities and limitations for the graduate’s employabilityimprovement in the Arctic zoneAlimova T.M., Shabayeva S.V., Stepus I.
S.Keywords: demanded occupations, forecast, employers’ survey, Russia's ArcticzoneDevelopment and exploration of Arctic natural resources has become a strategicfield for the Arctic states. Successful implementation of promising industrial projects238significantly depends on the availability of qualified personnel.
At the same time, thereare threats to the staffing of the Arctic territories due to objective reasons (negativedemographic trends in most of the Arctic states outflow of workforce to regions withmore comfortable climatic conditions, etc.) and due to subjective reasons: entrantscontinue to choose "intuitively" their future occupation without considering the trendsof region economic development. This often leads to youth unemployment, as graduatescannot find work in accordance with their diplomas.The paper presents a new approach for education and training of personnel inRussia aimed at graduate’s employability improvement.
The main idea is that the choiceof future occupation by students should take into account upcoming trends of regionaleconomic development. Testing of the new approach was carried out on the data of theRussia's Arctic zone. This experience is important because the largest part- the 1/3 ofthe entire Arctic territory among all of the countries (USA, Canada, Norway andDenmark) belong to Russia.The basis of the study is an algorithm that combines the development of theforecast founded on econometric models, the employers’ survey and evaluation of theeducation system possibilities.The developed forecast became the basis for the evaluation of the potential of theRussia Arctic zone educational institutions to train graduates in demand leading to theiremployability.
The regions that face the highest deficit of graduates in the near futurewere revealed as well as specified vocational specialties, which would have the mostsignificant gap.Top 25 blue-collar occupations in demand were generated based on the results ofemployers’ survey and analysis of open sources of information. This list is proposed toconsider as a reference while developing the priorities for education and training. It isalso necessary to use this information for the purposes of the graduates’ careerguidance.According to the results of the analysis proposals for education authorities andeducational institutions were developed in order to increase the efficiency of theeducation system and the level of graduates’ employment.
These proposals includeclarification of the education system targets and the formation of the admission quotasin educational institutions in strict accordance with the staffing needs forecast. Theforecast allows taking into account "today" and any "tomorrow" needs in the Arcticzone. It will allow training specialists taking into account the time lag of 3-5 yearsbefore entering the labour market and provide their employability.The recommendations may be useful for the Russian Arctic regions and otherArctic countries to increase youth employability, to increase the demand for graduatestrained, increase the flexibility of the regional education and training systems.Пример аннотации 2Gurtov, PitukhinaCurriculum Design and Innovation.
New Experiences for Curriculum Design239Envisioning perspective skills for curriculum updatingAbstractRussia continues undertaking curriculum renewal processes, it is evident that there is a heightenedimportance attributed to ensuring that students develop graduate capabilities or skills that will enablethem to be more productive and engaged citizens. Complying with the existed curriculum not revisitedtimely, it remains unanswered how to meet the challenge of advanced training and occupation skillsdevelopment. The point is that curricula are to be oriented for the future, not for the past, i.e. whatperspective skills and competences should be expected from graduates.
This paper explores variousmethods applied in perspective skills qualitative projection (employers’ and experts’ surveys,foresight results). ‘Established best practice’ can and should be implemented in Russian contexts.Following a preliminary consideration of the origins of ‘best practices’, we address approaches aimedat re-modeling and reconceptualizing skills (for example, famous tuning-model).The article deals with the perspective skills models for prioritized hi-tech industries in science,technique, and technology in Russia; it includes both the methodology description and the skills liststhemselves. The developed approach is based upon the best Russian and foreign practices, it embracesboth the results of experts’ and employers’ surveys as well as foresight sessions results. Themethodology implementation resulted in structured models for both soft and hard skills and becamethe main predictor for the successful achieving the “future goals”.
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