Analysis of the Features of Sustainable Development of the Mercosur Countries in the Context of the Covid-19 Pandemic

Purpose: The purpose of this article is to identify the features of sustainable development of the MERCOSUR countries in the context of the COVID-19 pandemic. Design/methodology/approach: The authors use comparative and retrospective analysis to identify the distinguishing characteristics of countries meeting the sustainable development goals. The objects of research are the MERCOSUR countries. Findings: It has been established that Uruguay is the undisputed leader in sustainable development in the context of COVID-19. Two countries: Brazil and Venezuela slowed down the pace of implementation of national sustainable development strategies due to the pandemic and other reasons. Originality/value: According to the results of the analysis, it was revealed that countries that have long-term national strategies for sustainable development are more stable in achieving sustainable development goals. The size of a national economy does not guarantee that it can successfully overcome an external shock such as the lockdown caused by the COVID-19 pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Identification of Students' Professional Competence Based on Big Data and Digital Footprints Based on Big Data Analytics and E-proctoring System

In the age of the digital society formation in countries of the post-industrial development stage, digital transformations take place in all spheres of public life. Such social institution as education witnesses especially drastic changes. New learning formats are emerging, including Online learning, E-learning, Smart-learning, Smart Education and other distance learning forms. However, during the COVID-19 pandemic, the scientific and educational community updated a number of issues regarding the identification of works, assessing the level of comprehensibility of the discipline and the independence of completing individual tasks of distance learning students. The present research is intended to complement the range of relevant studies in this area as it is devoted to the methodology of Big Data Analytics and e-proctoring at higher education institutions. The results of this study will help to improve the understanding of the algorithm for the final certification of students. In addition, the subjects of the educational process will be able to improve their skills in solving the problems of conducting final and intermediate certification in the format of distance learning and optimize this process in educational institutions of various levels. © 2022 IEEE.