Bibliometric analysis of articles on digital educational environments.
Saved in:
| Title: | Bibliometric analysis of articles on digital educational environments. |
|---|---|
| Authors: | Ioseliani, Aza D.1, Orekhovskaya, Natalia A.1, Svintsova, Marina N.1, Panov, Evgeny G.1, Skvortsova, Elena M.1, Bayanova, Almira R.2 almira-djl@mail.ru |
| Source: | Contemporary Educational Technology. Jul2023, Vol. 15 Issue 3, p1-10. 10p. |
| Subject Terms: | *Bibliometrics, *School environment, *Digital learning, *Classroom environment, Digital technology |
| Abstract: | This study's main objective is to present bibliometric data on articles related to digital educational environments (DEEs) published in the journals indexed in Scopus database between 2003 and February 2023. The data collected from 61 articles published within the study's scope were subjected to bibliometric analysis based on six categories: number of articles and citations, most cited articles, most used keywords, most influential countries, most-important institutions, and the most important journals. This study was designed as a descriptive study and offers bibliometric network maps of the most popular papers, keywords and countries, institutions, and journals. VOS viewer was used to create network diagrams and bibliometric analyses. The bibliometric analysis showed that the most frequently used keywords were digital learning environment(s), digital educational environment. The most prolific authors related to DEE are Antón-Sancho, Vergara, Barana, and Marchisio. The results showed that DEE studies were started in 2003 and the most articles were published in 2021. This study presents a global perspective on DEEs and proposes vision for future research. [ABSTRACT FROM AUTHOR] |
| Copyright of Contemporary Educational Technology is the property of Bastas Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
Be the first to leave a comment!
