2024
From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises
ŠVÁBENSKÝ, Valdemar; Jan VYKOPAL; Martin HORÁK; Martin HOFBAUER; Pavel ČELEDA et al.Základní údaje
Originální název
From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises
Vydání
New York, NY, USA, Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'24), od s. 213-219, 7 s. 2024
Nakladatel
ACM
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14330/24:00139893
Organizační jednotka
Fakulta informatiky
ISBN
979-8-4007-0600-4
ISSN
UT WoS
EID Scopus
Klíčová slova anglicky
tabletop exercise; incident response; team collaboration; cybersecurity; hands-on training; learning analytics; INJECT
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 4. 4. 2025 11:21, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
For undergraduate students of computing, learning to solve complex practical problems in a team is an essential skill for their future careers. This skill is needed in various fields, such as in cybersecurity and IT governance. Tabletop exercises are an innovative teaching method used in practice for training teams in incident response and evaluation of contingency plans. However, tabletop exercises are not yet widely established in university education. This paper presents data and teaching experience from a cybersecurity course that introduces tabletop exercises in classrooms using a novel technology: INJECT Exercise Platform (IXP), a web-based learning environment for delivering and evaluating the exercises. This technology substantially improves the prior practice, since tabletop exercises worldwide have usually been conducted using pen and paper. Unlike in traditional tabletop exercises, which are difficult to evaluate manually, IXP provides insights into students' behavior and learning based on automated analysis of interaction data. We demonstrate IXP's capabilities and evolution by comparing exercise sessions hosted throughout three years at different stages of the platform's readiness. The analysis of student data is supplemented by the discussion of the lessons learned from employing IXP in computing education contexts. The data analytics enabled a detailed comparison of the teams' performance and behavior. Instructors who consider innovating their classes with tabletop exercises may use IXP and benefit from the insights in this paper.
Návaznosti
| VK01030007, projekt VaV |
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