ABSTRACT
The spread of coronavirus infection has changed all spheres of human life, forcing a new look at traditional forms of activity. Education as the most important social sphere has taken the blow of the pandemic transformation, resulting in a significant spread of distance forms of interaction between the teacher and the learner, involving the reliance on digital learning tools. Due to the need for participants in the educational process in these conditions to operate with large amounts of data and process information electronically, the use of the potential of artificial intelligence in education. The article deals with new opportunities and problems of integration of education and artificial intelligence under conditions of Covid-19 pandemic. The object of the research is education in the epoch of Covid19. The article describes fundamental changes, which took place in the educational system during the pandemic period, outlines promising directions of artificial intelligence usage in the modern educational process and corresponding problems. The necessity of further research of possibilities of integration of education and big data under conditions of acceleration of processes of digitalization of society is marked. COVID-19 epidemic caused a great number of human casualties and destruction of economic, social, public and health systems all over the world. Combating such an epidemic requires an understanding of its characteristics and behavior, which can be determined by collecting and analyzing relevant big data. Big data analysis tools play a vital role in generating the knowledge necessary for decision-making and precautionary measures. However, because of the vast amount of COVID-19 data available from various sources, there is a need to review the role of big data analysis in controlling the spread of COVID-19 by presenting the main challenges and directions of COVID-19 data. analysis, as well as providing a framework for relevant existing applications and research to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the field of COVID-19-based big data analysis. © 2023 Little Lion Scientific.
ABSTRACT
Audiovisual translation (AVT) from English into other languages is gaining popularity both in the entertainment and professional realms. Besides language difficulties, an interpreter has to face cultural challenges and a lack of professional knowledge of a particular subject field. This paper examines medical AVT from English to Kazakh. Translation issues in this field have rarely been the focus of linguistic studies, with hardly any studies of the matter with Kazakh as a target language. During the Covid-19 pandemic, it is crucial to be aware of cutting-edge technology and treatment techniques that are available in English. The TEDMED oral report “The Wireless Future of Medicine” made by Eric Topol, a distinguished cardiologist and geneticist, and its voice-over translation provided by the Kazakhstan national bureau of translations were chosen as the material for this pilot study. Continuous sampling was used to select 95 terms and term phrases (T-units) in the source text that were further distributed into eight subject field groups. A standard classification was used to identify the translation technique in each case in the target text. As a result, frequency models were built for both subject groups and translation techniques. Groups related to medical procedures, medical devices, anatomy and physiology were the most frequent. There was a clear correlation between the subject field and dominant translation technique: equivalence prevailed in the fields connected with Kazakh medicine from nomadic times, while in other fields, there was an increase of techniques other than the equivalence. © 2022, Slovenska Vzdelavacia Obstaravacia. All rights reserved.