371 research outputs found

    Forecasting multivariate volatility in larger dimensions: some practical issues

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    The importance of covariance modelling has long been recognised in the field of portfolio management and large dimensional multivariate problems are increasingly becoming the focus of research. This paper provides a straightforward and commonsense approach toward investigating whether simpler moving average based correlation forecasting methods have equal predictive accuracy as their more complex multivariate GARCH counterparts for large dimensional problems. We find simpler forecasting techniques do provide equal (and often superior) predictive accuracy in a minimum variance sense. A portfolio allocation problem is used to compare forecasting methods. The global minimum variance portfolio and Model Confidence Set (Hansen, Lunde, and Nason (2003)) are used to compare methods, whilst portfolio weight stability and computational time are also considered.Volatility, multivariate GARCH, portfolio allocation

    Punkaharjun toimintayksikΓΆn vuosikertomus 2006

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    Conservative Approach to Unilateral Condylar Fracture in a Growing Patient: A 2.5-Year Follow Up

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    Condylar fractures in children are especially important because of the risk of a mandibular growth-center being affected in the condylar head, which can lead to growth retardation and facial asymmetry. The purpose of this article is to follow up the two and half year clinical and radiological evaluation of the conservative treatment of a 10 year-old patient, who had a unilateral green-stick type fracture. The patient presented with painful facial swelling localized over the left condylar region, limited mouth-opening and mandibular deviation to the left. Panoramic radiography and computed tomography confirmed the diagnosis of incomplete fracture on the left condyle with one side of the bone fractured and the other bent. Closed reduction was chosen to allow for initial fibrous union of the fracture segments and remodeling with a normal functional stimulus. A non-rigid mandibular splint was applied in order to remove the direct pressure on the fracture side of the mandible. Clinical and radiologic examination after 30 months revealed uneventful healing with reduction of the condylar head and remodeling of the condylar process following conservative treatment

    Widespread genomic influences on phenotype in Dravet syndrome, a 'monogenic' condition

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    Dravet syndrome is an archetypal rare severe epilepsy, considered "monogenic", typically caused by loss-of-function SCN1A variants. Despite a recognisable core phenotype, its marked phenotypic heterogeneity is incompletely explained by differences in the causal SCN1A variant or clinical factors. In 34 adults with SCN1A-related Dravet syndrome, we show additional genomic variation beyond SCN1A contributes to phenotype and its diversity, with an excess of rare variants in epilepsy-related genes as a set and examples of blended phenotypes, including one individual with an ultra-rare DEPDC5 variant and focal cortical dysplasia. Polygenic risk scores for intelligence are lower, and for longevity, higher, in Dravet syndrome than in epilepsy controls. The causal, major-effect, SCN1A variant may need to act against a broadly compromised genomic background to generate the full Dravet syndrome phenotype, whilst genomic resilience may help to ameliorate the risk of premature mortality in adult Dravet syndrome survivors

    Supporting the Development of Digitally Competent VET Teachers in Serbia and Russia

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    Introduction. In the modern educational space, an intensive digital transformation is currently taking place, which imposes new requirements for teacher competencies. This determines the relevance of setting goals and solving problems in order to develop up-to-date models for improving the qualifications of teachers of vocational education and training (VET). The paper discusses the current state of the development of digital competencies of teachers and teachers of Serbia and Russia in line with the European Digital Competence Framework (DigComp) and the European Digital Competence Framework for Educators (DigΠ‘ompΠ•du). The paper includes an analysis of the peculiarities of vocational education and training systems, as well as the directions of further training of teachers, conducted by participants in the international project β€œProfessional Development of Vocation Education Teachers with European Practices (Pro-VET)”. In order to better understand national contexts, the content of the reports of the participating countries of the project was analysed in the context of the EU policy and strategy for the development of digital competency of VET teachers. In this article, the authors focus on exploring digital competencies required of VET teachers within the European Digital Competence Framework for Educators (DigΠ‘ompΠ•du) to identify digital competencies and development needs of Serbian and Russian VET teachers when working in online learning environments.The aims of the research are the following: 1) to compare the educational needs of Russian and Serbian VET teachers in the development of their digital pedagogical competencies; 2) to identify the theoretical and practical base for VET teachers’ digitally competent development programme design in the context of online learning according to the best European practices in the field of VET. Methodology and research methods. The development of the model was based on learning theories, didactics and practical approaches to soft skills development in online learning environments. The research has been conducted by the means of document analysis, theoretical analysis and synthesis methods, comparative method, modelling method and expert estimation method. Results and scientific novelty. Key aspects of VET teacher training systems in Russia and Serbia are compared and needs in development of digital pedagogical skills of Russian and Serbian VET teachers are identified. A developed model of VET teachers’ digitally competent development programme design in the context of online learning according to best European practices in this fields is represented by two components: structural and functional. The structural component of VET teachers’ digitally competent development model contains: learning theories and didactics, adult learning theories, soft skills development approaches in online learning, learning outcomes development approaches. The functional component of the model contains: national and European educational policy, strategies in the field of digitalisation of education and the development of digital competencies of teachers, European Union policies related to online learning; pedagogical, psychological and didactical design parameters of the content of advanced training programmes in the context of e-learning. Practical significance. The demonstrated model is being tested in the framework of the implementation of the international Pro-VET project supported by ERASMUS+. Methodological approaches, procedure and tools of VET teachers’ digitally competent development are being developed and tested. The application of digitally competent development programmes ensures the transparency of training and allows for the correlation of national and international training programmes as well as the development of academic and professional mobility of VET teachers. The process of designing such educational training programmes in online environment for VET teachers has begun at some universities in Russia and Serbia (participants of the project). The developed online training programmes can be used as a basis to design more quality online courses beyond the Pro-VET project in the sphere of professional development for VET teachers.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Π’ соврСмСнном ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΌ пространствС происходит интСнсивная цифровая трансформация, которая ΠΏΡ€Π΅Π΄ΡŠΡΠ²Π»ΡΠ΅Ρ‚ Π½ΠΎΠ²Ρ‹Π΅ трСбования ΠΊ компСтСнтности прСподаватСля. Π­Ρ‚ΠΎ опрСдСляСт Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ постановки ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ соврСмСнных ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΈ обучСния (ПОО). Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ обсуТдаСтся Ρ‚Π΅ΠΊΡƒΡ‰Π΅Π΅ состояниС развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО Π‘Π΅Ρ€Π±ΠΈΠΈ ΠΈ России Π² соотвСтствии с СвропСйскими Ρ€Π°ΠΌΠΊΠ°ΠΌΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ образования (DigComp) ΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ (DigCompEdu); прСдставлСн Π°Π½Π°Π»ΠΈΠ· особСнностСй систСм ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΈ обучСния, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΎΠ², ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹ΠΉ участниками ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° Β«ΠŸΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΡ€Π΅ ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ образования ΠΈ обучСния ΠΏΠΎ СвропСйским ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ°ΠΌ (Pro-VET)Β». Π‘ Ρ†Π΅Π»ΡŒΡŽ Π»ΡƒΡ‡ΡˆΠ΅Π³ΠΎ понимания Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… контСкстов ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΎ содСрТаниС Π΄ΠΎΠΊΠ»Π°Π΄ΠΎΠ² стран – участников Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° Π² контСкстС ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠΈ ΠΈ стратСгии Π•Π‘ Π² области развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО. ВыявлСны ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ потрСбности сСрбских ΠΈ российских ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО ΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Π΅ ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅, согласно СвропСйской Ρ€Π°ΠΌΠΊΠ΅ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ (DigCompEdu), Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Π°ΠΌ ПОО для Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π² ΠΎΠ½Π»Π°ΠΉΠ½-срСдС обучСния. Π¦Π΅Π»ΠΈ исслСдования: 1) ΡΡ€Π°Π²Π½ΠΈΡ‚ΡŒ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ потрСбности российских ΠΈ сСрбских ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ ΠΈΡ… Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… пСдагогичСских ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ; 2) ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Ρ‚Π΅ΠΎΡ€Π΅Ρ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ основы Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΎΠ² Π² контСкстС ΠΎΠ½Π»Π°ΠΉΠ½-обучСния Π² соотвСтствии с Π»ΡƒΡ‡ΡˆΠΈΠΌΠΈ СвропСйскими ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ°ΠΌΠΈ Π² области ПОО. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ исслСдования. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΡƒΠΊΠ°Π·Π°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π±Π°Π·ΠΈΡ€ΠΎΠ²Π°Π»Π°ΡΡŒ Π½Π° тСориях обучСния, Π΄ΠΈΠ΄Π°ΠΊΡ‚ΠΈΠΊΠΈ ΠΈ практичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π°Ρ… ΠΊ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ Π³ΠΈΠ±ΠΊΠΈΡ… Π½Π°Π²Ρ‹ΠΊΠΎΠ² Π² ΠΎΠ½Π»Π°ΠΉΠ½-срСдС обучСния. ИсслСдованиС ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π°Π½Π°Π»ΠΈΠ·Π° Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚ΠΎΠ², тСорСтичСского Π°Π½Π°Π»ΠΈΠ·Π°, ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°, ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² синтСза, модСлирования ΠΈ экспСртной ΠΎΡ†Π΅Π½ΠΊΠΈ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ научная Π½ΠΎΠ²ΠΈΠ·Π½Π°. БопоставлСны аспСкты систСмы ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠΈ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО Π² России ΠΈ Π‘Π΅Ρ€Π±ΠΈΠΈ, ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ ΠΈΡ… потрСбности Π² ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° модСль развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π°Ρ Π΄Π²Π° ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π°: структурный ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ. Π‘Ρ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€Π½Ρ‹ΠΉ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚, прСдставлСнный тСориями обучСния ΠΈ Π΄ΠΈΠ΄Π°ΠΊΡ‚ΠΈΠΊΠΈ, тСориями обучСния взрослых, опрСдСляСт ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ Π²Ρ‹Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Π½ΠΈΡŽ мягких Π½Π°Π²Ρ‹ΠΊΠΎΠ² Π² ΠΎΠ½Π»Π°ΠΉΠ½-ΠΎΠ±ΡƒΡ‡Π΅Π½ΠΈΠΈ ΠΈ использованию Π΅Π³ΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ². Π€ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ основываСтся Π½Π° Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈ СвропСйской ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ΅, стратСгиях Π² сфСрС Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ образования ΠΈ развития Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΎΠ², ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ΅ ЕвропСйского союза Π² области ΠΎΠ½Π»Π°ΠΉΠ½-обучСния, содСрТит пСдагогичСскиС, психологичСскиС ΠΈ дидактичСскиС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Π΄ΠΈΠ·Π°ΠΉΠ½Π° содСрТания ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π² контСкстС элСктронного обучСния. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ. Указанная модСль тСстируСтся Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° Pro-VET. Π Π°Π·Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°ΡŽΡ‚ΡΡ ΠΈ Ρ‚Π΅ΡΡ‚ΠΈΡ€ΡƒΡŽΡ‚ΡΡ мСтодологичСскиС ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹, ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Ρ‹ ΠΈ инструмСнты ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ компСтСнтности ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО. ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π² сфСрС Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ обСспСчиваСт ΠΏΡ€ΠΎΠ·Ρ€Π°Ρ‡Π½ΠΎΡΡ‚ΡŒ ΠΈ ΡΠΎΠΏΠΎΡΡ‚Π°Π²ΠΈΠΌΠΎΡΡ‚ΡŒ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ, Π° Ρ‚Π°ΠΊΠΆΠ΅ способствуСт Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ акадСмичСской ΠΈ ΠΏΡ€ΠΎΡ„Π΅ΡΡΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ ΠΌΠΎΠ±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО. Π’ унивСрситСтах России ΠΈ Π‘Π΅Ρ€Π±ΠΈΠΈ (участниках ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π°) ΡΠΎΠ·Π΄Π°ΡŽΡ‚ΡΡ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ ΠΎΠ½Π»Π°ΠΉΠ½-обучСния для ΠΏΡ€Π΅ΠΏΠΎΠ΄Π°Π²Π°Ρ‚Π΅Π»Π΅ΠΉ ПОО Π½Π° Π±Π°Π·Π΅ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ. Π”Π°Π½Π½Ρ‹Π΅ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ ΠΌΠΎΠ³ΡƒΡ‚ ΡΡ‚Π°Ρ‚ΡŒ основой для Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ эффСктивных ΠΎΠ½Π»Π°ΠΉΠ½-курсов Π·Π° ΠΏΡ€Π΅Π΄Π΅Π»Π°ΠΌΠΈ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° Pro-VET Π² сфСрС ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΎΠ² ПОО.The research in Pro-VET project was funded by Education, Audio-visual and Culture Executive Agency, Erasmus+, ref. 598698-EPP- 1-2018-1-FI-EPPKA2-CBHE-JP. The authors are also grateful to all partners of Pro-VET team with their valuable contributions to discussions and verification of the developed procedures. The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.ИсслСдования Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° ProVET Ρ„ΠΈΠ½Π°Π½ΡΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ Π˜ΡΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ агСнтством ΠΏΠΎ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΡŽ, Π°ΡƒΠ΄ΠΈΠΎΠ²ΠΈΠ·ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ срСдствам ΠΈ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π΅, Erasmus+ (Π½ΠΎΠΌΠ΅Ρ€ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° 598698-EPP-1- 2018-1-FI-EPPKA2-CBHE-JP). Авторы Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€ΠΈΠ·Π½Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹ всСм ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Π°ΠΌ ΠΊΠΎΠΌΠ°Π½Π΄Ρ‹ Pro-VET Π·Π° ΠΈΡ… Ρ†Π΅Π½Π½Ρ‹ΠΉ Π²ΠΊΠ»Π°Π΄ Π² обсуТдСниС ΠΈ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΡƒ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€. ЕвропСйская комиссия, ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠ°Π²ΡˆΠ°Ρ ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΡƒ этой ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ, Π½Π΅ нСсСт отвСтствСнности Π·Π° Π΅Π΅ содСрТаниС ΠΈ использованиС прСдставлСнной Π² Π½Π΅ΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ
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