Dataset: Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises

This repository contains supplementary materials for the following conference paper:

V. Švábenský, R. Weiss, J. Cook, J. Vykopal, P. Čeleda, J. Mache, R. Chudovský, A. Chattopadhyay.
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises.
In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE '22), 2022.
DOI: https://doi.org/10.1145/3478431.3499414

The materials include the research dataset, source code, and graphs. For more information about the materials, please see the readme in the attached ZIP file.

If you use or build upon the materials, please use the BibTeX entry below to cite the original work.

@inproceedings{Svabensky2022evaluating,
author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Weiss, Richard and Cook, Jack and Vykopal, Jan and \v{C}eleda, Pavel and Mache, Jens and Chudovsk\'{y}, Radoslav and Chattopadhyay, Ankur},
title = {{Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises}},
booktitle = {Proceedings of the 53rd ACM Technical Symposium on Computer Science Education},
series = {SIGCSE 2022},
location = {Providence, RI, USA},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
numpages = {7},
isbn = {978-1-4503-9070-5},
doi = {10.1145/3478431.3499414},
}