Published May 23, 2022 | Version v1
Dataset Open

Dataset: Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training

  • 1. Masaryk University

Description

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.

Notes

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).

Files

2022-EaIT-Applications-materials.zip

Files (2.4 MB)

Name Size Download all
md5:e8a682c59466c6febf8120bd23e15c04
2.4 MB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1007/s10639-022-11093-6 (DOI)