System-Cluster Technology of e-Learning Improvement under the Conditions of COVID-19

Autor: Tsvetana Stoyanova, Philip Stoyanov, Anzhelika Remnova, Svitlana Kushniruk, Lyudmyla Rakityanska, Svetlana Drobyazko
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Sustainability; Volume 13; Issue 24; Pages: 14024
Sustainability, Vol 13, Iss 14024, p 14024 (2021)
ISSN: 2071-1050
DOI: 10.3390/su132414024
Popis: The paper defines the scientific provisions on the feasibility and effectiveness of using e-learning under conditions of quarantine restrictions related to the COVID-19 pandemic. It was proved that within the use of e-learning there has been a convergence between the scientific and methodological bases and the learning process itself, and new approaches to the general didactic and information content of e-learning courses within the education process have been formed. Modern platforms of e-learning are examined and a scheme involving the synchronous technology of e-learning was formed. Within the framework of the suggested learning platform, effective learning tools under conditions of quarantine restrictions were identified, the use of which allows the most successful solution of didactic tasks facing e-learning to be ensured on the basis of the everyday use of digital media and electronic devices for learning purposes. The fractal-cluster technology of an e-learning organization was suggested for an introduction. The functional dependencies on the forms and technologies of the educational process for the efficiency of higher education were obtained. The expediency of introducing fractal-cluster structures into the organizational component of the educational process was determined. Based on the tools of the fractal-cluster approach, a model of organization of the educational process in the information-entropy format was formulated.
Databáze: OpenAIRE