“…Hu et al (2019) perform a qualitative content analysis of the reports of self-assessment of Chinese universities and determine the factors that influence the quality of transnational higher education in China. Khoi et al (2019) prove the connection between quality of educational services, reputation of university, and consumer behavior (choice of university) in Vietnam. Ashraf (2019) substantiates the influence of labor conditions and preservation of lecturers on quality of education in private universities of Bangladesh.…”
The purpose of the paper is to study the experience of increase of quality of education as a result of digital modernization of the educational market in modern Russia's regions based on technologies of Industry 4.0 with the help of reorganization of regional universities and to develop recommendations for optimizing the practice of managing this process in modern Russia in the interests of the fullest implementation of the potential of mentioned problem. The research is performed by the example of the regions of the Volga Federal District of the Russian Federation. The authors perform analysis of the achieved results of increase of quality of education as a result of digital modernization of the educational market in regions of the Volga Federal District of the Russian Federation based on technologies of Industry 4.0 with the help of reorganization of regional universities and perform modeling of scenarios of increase of quality of education in this regions based on technologies of Industry 4.0 through reorganization of universities and develop recommendations for practical implementation of the most optimal scenario. This envisages the increase of quality of education in mentioned regions based on technologies of Industry 4.0 through reorganization of universities. The methods of horizontal, scenario, and regression analysis are used. It is substantiated that as of now (2019) Russia has not achieved significant results in the sphere of increase of quality of education during digital modernization of universities based on technologies of Industry 4.0 in the process reorganization (formation of regional flagship universities). The authors also try to solve the different aspects of this problem.
“…Hu et al (2019) perform a qualitative content analysis of the reports of self-assessment of Chinese universities and determine the factors that influence the quality of transnational higher education in China. Khoi et al (2019) prove the connection between quality of educational services, reputation of university, and consumer behavior (choice of university) in Vietnam. Ashraf (2019) substantiates the influence of labor conditions and preservation of lecturers on quality of education in private universities of Bangladesh.…”
The purpose of the paper is to study the experience of increase of quality of education as a result of digital modernization of the educational market in modern Russia's regions based on technologies of Industry 4.0 with the help of reorganization of regional universities and to develop recommendations for optimizing the practice of managing this process in modern Russia in the interests of the fullest implementation of the potential of mentioned problem. The research is performed by the example of the regions of the Volga Federal District of the Russian Federation. The authors perform analysis of the achieved results of increase of quality of education as a result of digital modernization of the educational market in regions of the Volga Federal District of the Russian Federation based on technologies of Industry 4.0 with the help of reorganization of regional universities and perform modeling of scenarios of increase of quality of education in this regions based on technologies of Industry 4.0 through reorganization of universities and develop recommendations for practical implementation of the most optimal scenario. This envisages the increase of quality of education in mentioned regions based on technologies of Industry 4.0 through reorganization of universities. The methods of horizontal, scenario, and regression analysis are used. It is substantiated that as of now (2019) Russia has not achieved significant results in the sphere of increase of quality of education during digital modernization of universities based on technologies of Industry 4.0 in the process reorganization (formation of regional flagship universities). The authors also try to solve the different aspects of this problem.
“…With one action, it has two-fold bene ts for the EI during pandemic. First, providing quality education and services will improve image and reputation positively (Khoi et al, 2019). Secondly, it will build trust for EI's commitments in providing quality services.…”
Section: Implications Suggestions and Contributionmentioning
Covid-19 pandemic has enforced Indian engineering institutions (EIs) to bring their previously half-shut shades completely down. Fetching new admissions into EI campus during pandemic it has become ‘now or never’ situation for EIs. During crises situation institutions have struggled to come back on the normal track. The pandemic that has changed students’ behavior and family’s preferences drastically due to mental stress and emotional life attached with it. Consequently, it becomes prerequisite, and emergency need to examine the choice characteristics influencing selection of EI during Covid-19 pandemic situation. The purpose of this study is to critically examine institutional influence and pandemic influence due to Covid-19 that affects students’ choice about an engineering institution (EI) and consequently to explore relationships between institutional and pandemic influence. The findings of this quantitative research, conducted through a self-reported survey have revealed that institutional as well as pandemic influence have governed the EI choice under Covid-19 pandemic. Secondly, pandemic influence is positively affected by institutional influence. The study demonstrated that EIs will have to reposition themselves to normalize pandemic influence by tuning institutional characteristics that regulates situational influence and new enrollments. It can be yardstick for policy makers to attract new enrollments under pandemic situation.
“…With one action, it has two-fold benefits for EI during the pandemic. First, providing quality education and services will positively enhance image and reputation (Khoi et al, 2019). Second, it will build trust in EI's commitments to providing quality services and will achieve students' reliability and confidence in the quality provisions rendered by the EI during the pandemic.…”
Section: Repositioning With Best Suitable Practices During Pandemicmentioning
Background: COVID-19 has impacted Indian engineering institutions (EIs) enormously. It has tightened its knot around EIs that forced their previous half-shut shades completely down to prevent the risk of spreading COVID-19. In such a situation, fetching new enrollments on EI campuses is a difficult and challenging task, as students' behavior and family preferences have changed drastically due to mental stress and emotions attached to them. Historically, during crisis situations, institutions have struggled to return to the normal track. Consequently, it becomes a prerequisite to examine the choice characteristics influencing the selection of EI during the COVID-19 pandemic to make it 'normal' for 'new' enrollments.The purpose of this study is to critically examine choice characteristics that affect students' choice for EI and consequently to explore relationships between institutions' characteristics and the suitability of EI during the COVID-19 pandemic across students' characteristics. Quantitative research, conducted through a self-reported survey composed of a closed-ended structured questionnaire, was purposefully incorporated into the students who recently were enrolled in EIs (batch years 2020-2021) belonging to the North Maharashtra region of India.
Results:The findings of this study revealed dissimilarities across students' characteristics regarding the suitability of EIs under pandemic conditions. Regression analysis revealed that EI characteristics such as proximity, image and reputation, quality education and curriculum delivery have significantly contributed to suitability under COVID-19. At the micro level, multiple relationships were noted between EI characteristics and the suitability of EI under the pandemic across students' characteristics.
Conclusion:Bringing 'normality' to 'new' enrollments totally depends on EI's resilience in meeting the needs of diversity in the COVID-19 pandemic situation, which repositions themselves to govern student-centric strategies instituted for the overall suitability of EI under pandemic conditions. The study has successfully demonstrated how choice characteristics can be executed to regulate the 'suitability' of EI under the COVID-19 pandemic for the inclusion of diversity. It is useful for policy makers and academicians to reposition EIs that fetch diversity during the pandemic. This study is the first to provide insights into the performance of choice characteristics and their relationship with the suitability of EIs under a pandemic and can be a yardstick in administering new enrollments.
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