Content analysis of blended learning about Russian language articles in Scopus

2022

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DOI 10.18844/cerj.v13i1.8456
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

It has been observed that there have been important developments in educational technologies in recent years/particularly, «COVIT - 19» has made these developments compulsory. The aim of this study is to analyze the published articles on blended learning in Russian language, scanned in Scopus, according to the content analysis. Content analysis model was used. In this context, 25 articles related to Blended learning in Russian language in the Scopus database were analyzed. The articles were read by the researchers one by one and analyzed by “classifying them by certain variables.” Analyzed data’ are explained by Tabulating. It has been concluded that articles on blended learning have increased in recent years. There has also been an increase in the number of articles and their authors in recent years. Keywords: blended learning, modernization, online learning, content analysis’ education;