Distance education: models, implementation levels and implementation challenges

DOI: 10.15293/1812-9463.2103.05

УДК 37.02

Kamenev Roman Vladimirovich

Candidate of Pedagogical Sciences, Director of IFMITO, Novosibirsk State
Pedagogical University, Novosibirsk. ORCID ID: http://orcid.org/0000-0002-9367-3997
E-mail: romank54.55@gmail.com

Abramova Mariya Alekseevna

Doctor of Pedagogical Sciences, Professor, Professor of the Department of Psychology and Pedagogy of the IFMITO Novosibirsk State Pedagogical University,
Novosibirsk. ORCID ID: http://orcid.org/0000-0001-6923-3564
E-mail: marika24@yandex.ru

Krasheninnikov Valeriy Vasilyevich

Candidate of Technical Sciences, Professor IFMITO,
Novosibirsk State Pedagogical University.
ORCID ID: http://orcid.org/0000-0001-6470-8145 E-mail: vkrash48@mail.ru

DISTANCE EDUCATION: MODELS, IMPLEMENTATION LEVELS AND IMPLEMENTATION CHALLENGES

The article aims to consider the problem of implementing distance learning at the micro-meso and macro levels. In the study, the authors rely on systematic approach. Using the example of studies of the results of the introduction of distance learning during the pandemic, the problems faced by educational organizations at the regional level are shown. The actualization of the need for regional analysis led the authors to the conclusion that the issue is insufficiently developed at the macro level of administration of the process of implementing distance learning. The article also raises questions about the quality of “offline” and “online” training formats, the problem of commercialization of education and the transformation of university types as associated with unjustified expectations of the effectiveness of the introduction of distance learning format.

The materials presented in the article will be of interest to those specializing in the field of education management: heads of educational organizations, employees of educational management bodies at all levels.

Keywords: distance education, learning models, organization models, regional models.

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