Interpreting the Statistics of eTwinning: European Quality Label

The present study makes an attempt to provide some insight into the performance of the forty-four countries participating in the eTwinning European Quality Label Awards. These awards set an area of competition for educators in those countries. The analysis attempts to determine the factors that set the countries apart in terms of performance. Making use of quantitative methods (descriptive and inferential statistics), the results suggest that the ranking of each country in the EQL awards is not random at all. On the contrary, it can be explained by the specific characteristics of the country, which operate as reliable performance predictors. Those characteristics include the geographical location, the national income, or the quality of the provided education. The insight gained by the analysis, might as well serve as a tool for further use, in order to interpret more similar educational programs

Authors

Publication Details

Journal
International Journal of Educational Innovation.
Published
2025-09-02
DOI
https://doi.org/10.69685/nzye1465
Citations
1
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Interpreting the Statistics of eTwinning: European Quality Label

THEMELIS GIANNIS
1 citations
International Journal of Educational Innovation.
Online and Blended Learning
article

Interpreting the Statistics of eTwinning: European Quality Label

THEMELIS GIANNIS
article en
1 citations

Abstract

The present study makes an attempt to provide some insight into the performance of the forty-four countries participating in the eTwinning European Quality Label Awards. These awards set an area of competition for educators in those countries. The analysis attempts to determine the factors that set the countries apart in terms of performance. Making use of quantitative methods (descriptive and inferential statistics), the results suggest that the ranking of each country in the EQL awards is not random at all. On the contrary, it can be explained by the specific characteristics of the country, which operate as reliable performance predictors. Those characteristics include the geographical location, the national income, or the quality of the provided education. The insight gained by the analysis, might as well serve as a tool for further use, in order to interpret more similar educational programs

International Journal of Educational Innovation.Vol. 4(2)
Openalex Percentile: Top 74%
Online and Blended Learning
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