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 2022). https://doi.org/10.1145/3478431.3499414 Preprint available at: https://arxiv.org/abs/2112.02053 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). @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 Chudovský, 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 '22}, location = {Providence, RI, USA}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {03}, year = {2022}, pages = {787--793}, numpages = {7}, isbn = {978-1-4503-9070-5}, url = {https://doi.org/10.1145/3478431.3499414}, doi = {10.1145/3478431.3499414}, } Attached content The materials include the research dataset, source code, and graphs. See the README.md file inside the attached ZIP file for more details.