Descriptive analysis of benchmarking in respect to SMART/UNI-Q systems' intellectual integrations within the European Higher Education Area

Автор: Sibgatullina-Denis Irene, Riabov Oscar R., Merzon Elena E., Vancova Alica

Журнал: Интеграция образования @edumag-mrsu

Рубрика: Международный опыт интеграции образования

Статья в выпуске: 4 (101), 2020 года.

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Introduction. The strategy for the development of international education ERASMUS 20.30 stimulates the study of how intellectual integration programmes are introduced into the system of further education of universities around the world. The research is relevant, for studying the integration of intellectual potential in a single space of higher and further education EHEA allows to determine the efficacy of application of world benchmarking technologies in the management of SMART/UNI-Q systems and the convergence of world universities. The EU Education Department conditioned the significance of the research content by the target request to investigate the change in the benchmarking mission at the international education market and to make a thorough informational review of its application in the international activities of universities in the EU, CIS and the Russian Federation for the dissemination of information by international partner universities of ERASMUS central office. The study aims at identifying general and specific indicators of sustainable international partnerships that affect consumer demand at the international education and labour markets by means of concretization of an extensive descriptive analysis of the intellectual integration benchmarking and the description of the processes of benchmarking technology application, its scientific identification and implementation in individual universities, university alliances and consortia. Researchers were looking for an answer to the question: why, with high interest and theoretical recognition of technology benchmarking in quality management, universities show low rates of benchmarking in assessing the quality of their international activities. Materials and Methods. It is the first time that the research of benchmarking intellectual integrations in the university international activities uses the method of descriptive analysis. The study identifies active sectors of the SMART / UNI-Q benchmarking for the entire set of data voluntarily submitted by the universities participating in the projects of the Austrian Institute for Intellectual Integrations in the pre-pandemic period of 2017-2020. The participating countries have analyzed the share of key participants and the share of published benchmarking studies. The study analyzes the changes in the benchmarking mission in the international education market in accordance with the needs of global consumers. The analysis uses the data of the bases of the EU Department of Education, the ETINED platform and open-access European dissertation reviews portals. The research uses the WERGELAND European Resource Center data as the comparison point indicators. The study presents an analysis of five segments of international benchmarking: transparency, diversity, “product line”, digital activity, and digital management tools. Modus infographics shows the real, improved and ideal models. The applied comparative analysis studies the asynchrony of academic mobility during the COVID crisis. Results. The research findings show low value of efficiency indicators for the use of intellectual integration benchmarking in the international cooperation of university alliances. The predominance and stable efficiency in the use of benchmarking takes place at certain universities in Europe during periods of activity in implementing new strategies of international education and only for a short time most often during the periods of university accreditation. The model for overcoming sustainable development asynchronies in the management of SMART/UNI-Q systems according to the criterion of guaranteeing the quality of higher education in international cooperation EHEA is not final and today it is possible to characterize it through descriptive indicators. Amid the economic crisis and turbulence associated with the COVID-19 pandemic, a decline in large-scale academic mobility is an inevitable trend. However, due to the growing difference in the responses of economies and management in the field of higher vocational education between developed and less developed countries, as well as with the strengthening of general trends in economic integration, the number of academic migrants is likely to increase. Asynchrony, that is, unevenness, of opportunities and adaptation to the new digital environment of university consortia and the possibility to implement the opportunities in practice has become a psychological problem of scientific migration. Discussion and Conclusion. The materials of this article will be useful to CEO-s of international universities, heads of departments of international activities, employees of ERASMUS national offices, coordinators of ERAS-MUS+ projects, departments of continuing professional education and academic mobility in the development of promising strategies for external and internal benchmarking of inter-university projects of intellectual integration and international activity quality management.

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International experience of integration in european education, recognition of qualifications, quality management, benchmarking, descriptive model, asynchrony in academic mobility during the covid-19 period

Короткий адрес: https://sciup.org/147222012

IDR: 147222012   |   DOI: 10.15507/1991-9468.101.024.202004.532-551

Текст научной статьи Descriptive analysis of benchmarking in respect to SMART/UNI-Q systems' intellectual integrations within the European Higher Education Area

Our world has changed. Nevertheless, the world has changed more than once. These changes have always affected the university world order. The European Higher Education Area (EHEA) has defined the administrative and intellectual framework for the process of bringing universities together and educational integration of both European and non-European countries since the starting point of the Bologna process 1 . During this challenging time, many higher education systems and, as a consequence, Western European and Eastern European universities, committed themselves to amending and enforcing national legislation in order to fulfill the requirements of the Lisbon Convention on the recognition of qualifications 2 and submit reports relating to new formats of training and cooperation to the Secretariat of the Bologna Process.

At the same time, the preparation of analytical information on a number of processes of intellectual integration in the international education system and indicators relevant to the implementation of the Sustainable Development Goals / SDG4 3 , strategies of the European Quality Assurance Register (EQAR) 4 have become priority for European and world university alliances and consortia. The implementation of the sustainable development goals during the COVID crisis required an analysis of best practices.

The development of European integration processes of international education in the ERASMUS strategy also stimulates the research identification of institutional and design models of universities in the implementation of the Sustainable Development Goals / SDG4 as purposeful today [ 1 ]. Diversity and “integration with complication” as the main principles of intellectual integration have become the leading philosophy of the international sector in the management of quality systems. Under these conditions, many universities in Western and Eastern Europe are active in building integration potential in the research sector of higher and continuing professional education in EHEA and are interested in measuring the effectiveness of the application of global benchmarking technologies for intellectual integration in the management of SMART/UNI-Q systems.

The authors understand SMART/UNI-Q systems as local university systems of internal quality control necessary for the analysis of synchronization and/or asynchrony of the reliable state of affairs and/or vulnerability, risks and development barriers, including those that are in the processes of accounting for the intellectual integration decision-making in education and science with alliances’ international partners in EHEA and the export of educational services. Competition for quality and struggle for leadership in world university rankings drew attention of many

“Benchmarking is a process of identifying, studying and adapting the best practices and experience of other organizations, based on identification methods and analysis, to improve the performance of their own orga-nization”6. However, the insufficient application of benchmarking technologies and methods that increase the quality management resources of European university education in the framework of global quality strategies explain the relevance and novelty of interdisciplinary advanced research in the field of management and modelling of quality systems [ 2–4 ].

Thus, it is quite logical that the global integration processes in education7 have outlined a new direction in the “research sector product line” of universities focused on export, exchange and joint scaling of educational services and procedural issues of decision-making on development in the field of recognizing relevant qualifications by the state bodies of the countries that joined the Lisbon Convention in 1997, the Yerevan Communiqué in 2015, and the decisions of the 25th Vienna Session of the European Council Permanent Conference of Education Ministers in 20168.

The abbreviation SMART stands for Specific Measurable Attainable Relevant Time-bound and is applicable in order to narrow the focus of understanding general processes in the international education quality management.

In this work, we are talking about benchmarking studies in a structured “dialogue” SMART/UNI-Q at the local level of an institutional independent platform for intellectual integration and only in significant sectors of international cooperation. The above reasons give the authors the grounds to present a thorough overview and analysis of intellectual integration benchmarking technologies in the management of SMART/UNI-Q systems and provide arguments for the descriptive approach.

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