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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset: Reinforcing Cybersecurity Hands-on Training With Adaptive Learning

Authors: Pavel Seda; Jan Vykopal; Valdemar Švábenský; Pavel Čeleda;

Dataset: Reinforcing Cybersecurity Hands-on Training With Adaptive Learning

Abstract

This repository contains supplementary materials for the following conference paper: Pavel Seda, Jan Vykopal, Valdemar Švábenský, Pavel Čeleda. Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. In Proceedings of the 51st IEEE Frontiers in Education Conference (FIE 2021). https://doi.org/10.1109/FIE49875.2021.9637252 Preprint available at: https://arxiv.org/abs/2201.01574 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). Some of the linked repositories have their separate citation entry; please use that one as well, if possible. @inproceedings{Seda2021reinforcing, author = {Seda, Pavel and Vykopal, Jan and \v{S}v\'{a}bensk\'{y}, Valdemar and \v{C}eleda, Pavel}, title = {{Reinforcing Cybersecurity Hands-on Training With Adaptive Learning}}, booktitle = {Proceedings of the 51st IEEE Frontiers in Education Conference}, series = {FIE '21}, location = {Lincoln, NE, USA}, publisher = {IEEE}, address = {New York, NY, USA}, month = {10}, year = {2021}, pages = {1--9}, numpages = {9}, isbn = {978-1-6654-3851-3}, url = {https://doi.org/10.1109/FIE49875.2021.9637252}, doi = {10.1109/FIE49875.2021.9637252}, }

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).

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Keywords

case study, evaluation, cybersecurity, tutor model, adaptive learning

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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