This repository contains supplementary materials for the following journal paper: Valdemar Švábenský, Jan Vykopal, Pavel Čeleda, Lydia Kraus. Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training. In Springer Education and Information Technologies. 2022. https://doi.org/10.1007/s10639-022-11093-6 Preprint available at: https://arxiv.org/abs/2307.08582 How to cite If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link). @article{Svabensky2022applications, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and \v{C}eleda, Pavel and Kraus, Lydia}, title = {{Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training}}, journal = {Education and Information Technologies}, publisher = {Springer}, volume = {27}, year = {2022}, issn = {1360-2357}, url = {https://doi.org/10.1007/s10639-022-11093-6}, doi = {10.1007/s10639-022-11093-6}, } Attached content The files included in the ZIP archive are: `All-discovered-papers.bib` -- a BibTeX export of the Mendeley database of all considered papers discovered by the automated search. `Candidate-papers-reviewer1.bib` -- a BibTeX export of the Mendeley database of the candidate papers suggested by the first investigator. `Candidate-papers-reviewer2.bib` -- a BibTeX export of the Mendeley database of the candidate papers suggested by the second investigator. `Selected-papers.bib` -- a BibTeX export of the Mendeley database of the 35 papers selected for the literature review. `Selected-papers.xlsx` -- an Excel spreadsheet with the extracted information about the selected papers. `Selected-papers.csv` -- a CSV equivalent of the Excel spreadsheet.

This research was supported by ERDF project CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence (No. CZ.02.1.01/0.0/0.0/16_019/0000822).