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.

Towards a Low-cost and Mobile System for Quarantine Tracking during Pandemics

In recent years, the coronavirus pandemic has caused and continues to cause a large number of deaths today. Governments all over the world have taken measures to reduce the spread of the virus. Home quarantine was proven to be a successful way to control and mitigate the spread of COVID-19. The current methods of tracking home-quarantined people use tracking bracelets or mobile applications, which are still in their early development stage. In this paper, we propose a quarantine tracking system to track users during their quarantine period. The system consists of a web portal designed for the concerned authorities and the quarantined user's mobile application. The proposed application randomly prompts users to verify their quarantine by uploading their selfies. We verify the user's quarantine status through an automatic location and selfie verification. Our system provides a specific set of features that can be set by the concerned authorities, such as the frequency of prompts and the allowed response time. Violation reports can also be accessed by the concerned authorities to keep track of quarantined users' violations. Our results validate the usefulness and potential of our system as a quarantine tracking tool. It also opens the door for further development, allowing governments to handle any upcoming pandemics. © 2021 IEEE.