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Article
Peer-Review Record

Dimensions of Digital Literacy in the 21st Century Competency Frameworks

Sustainability 2022, 14(3), 1867; https://doi.org/10.3390/su14031867
by María Cristina Martínez-Bravo *, Charo Sádaba Chalezquer and Javier Serrano-Puche
Reviewer 1: Anonymous
Sustainability 2022, 14(3), 1867; https://doi.org/10.3390/su14031867
Submission received: 26 December 2021 / Revised: 20 January 2022 / Accepted: 21 January 2022 / Published: 7 February 2022

Round 1

Reviewer 1 Report

It is a valuable paper with a survey of current digital literacy research in eight international frameworks. 

Author Response

Dear reviewer,

We are very grateful for the comment.

Best regards

Reviewer 2 Report

It is adequately structured research, both in the methodological field and in the construction of the report. I have only one observation for future improvements, regarding section 3.2: the principal component analysis (PCA) to make visible the main characteristics of the differences of the frameworks, could be improved from other techniques for small data, such as k-means, and thus to improve the construction of the clusters.  

Congratulations for the excellent work done. It will be very useful to build better educational proposals.

Author Response

RESPONT REPORT

 

Comments and Suggestions for Authors

Reviewer

It is adequately structured research, both in the methodological field and in the construction of the report. I have only one observation for future improvements, regarding section 3.2: the principal component analysis (PCA) to make visible the main characteristics of the differences of the frameworks, could be improved from other techniques for small data, such as k-means, and thus to improve the construction of the clusters. 

Congratulations for the excellent work done. It will be very useful to build better educational proposals.

 

Authors

Dear reviewer,

We are very grateful for the comments and for nurturing our research. We also take this opportunity to comment that the data were subjected to multiple clustering methodologies, including k-means. However, the hierarchical clustering method allowed us to establish the number of clusters by visual analysis of the dendogram. In contrast, the k-means method required the establishment of a number of clusters to run the analysis, which is more applicable when there are a number of pre-established categories, in our case we did not have such pre-defined categories.

It is worth mentioning that, however, when applying the k-means method the results in the composition of the clusters did not change (I attach the data set of that procedure).

Thanks again for the valuable input and we look forward to implementing this and other recommendations for future research.

Best regards,

Author Response File: Author Response.pdf

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