Trend of distance education research in the covid-19 period: A bibliometric and content analysis.

Autor: Yavuz, Mehmet, Kayalı, Bünyami, Tutal, Özgür
Předmět:
Zdroj: Journal of Educational Technology & Online Learning (JETOL); 2021, Vol. 4 Issue 2, p256-279, 24p
Abstrakt: The study aims to reveal the studies' profile for distance education activities in the Covid-19 period. For this purpose, bibliometric analysis and content analysis were used together in the study. Within the scope of the study, 220 studies were selected in the Web of Science database to access the articles. Within the scope of bibliometric analysis, the most used keywords, the most cited journals, the most publishing journals, the most publishing countries and the most cited authors were analyzed with the VOSViewer program. In content analysis, methodological trends (method, sample size, data collection tool, data analysis type) used in the studies were examined. As a result of the research, the most publications were made in the last quarter of 2020, 16% of the studies were single-author and the quantitative research method was the most preferred (40%), the sample was mostly university students (n=78). It was observed that it was clustered between 0-100 intervals, the most frequently used questionnaire (n=105) as the data collection tool, and the descriptive-quantitative analysis method (40%) was used as the data analysis method. Also, the most publications are made in America and China, the most used keywords are "covid-19", "online education" and "distance education", the most cited authors are Chen, Cong, Peng and Yang, and finally It has been observed that the highly cited journal has Sustainability. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index