Challenges Arising from Prerequisite Testing in Cybersecurity Games

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00106882" target="_blank" >RIV/00216224:14330/18:00106882 - isvavai.cz</a>

Result on the web

<a href="https://dl.acm.org/citation.cfm?id=3159450.3159454" target="_blank" >https://dl.acm.org/citation.cfm?id=3159450.3159454</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3159450.3159454" target="_blank" >10.1145/3159450.3159454</a>

Result language

angličtina

Original language name

Challenges Arising from Prerequisite Testing in Cybersecurity Games

Original language description

Cybersecurity games are an attractive and popular method of active learning. However, the majority of current games are created for advanced players, which often leads to frustration in less experienced learners. Therefore, we decided to focus on a diagnostic assessment of participants entering the games. We assume that information about the players' knowledge, skills, and experience enables tutors or learning environments to suitably assist participants with game challenges and maximize learning in their virtual adventure. In this paper, we present a pioneering experiment examining the predictive value of a short quiz and self-assessment for identifying learners' readiness before playing a cybersecurity game. We hypothesized that these predictors would model players' performance. A linear regression analysis showed that the game performance can be accurately predicted by well-designed prerequisite testing, but not by self-assessment. At the same time, we identified major challenges related to the design of pretests for cybersecurity games: calibrating test questions with respect to the skills relevant for the game, minimizing the quiz's length while maximizing its informative value, and embedding the pretest in the game. Our results are relevant for educational researchers and cybersecurity instructors of students at all learning levels.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/VI20162019014" target="_blank" >VI20162019014: Simulation, detection, and mitigation of cyber threats endangering critical infrastructure</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE’18)

ISBN

9781450351034

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

56-61

Publisher name

ACM

Place of publication

Baltimore, Maryland, USA

Event location

Baltimore, Maryland, USA

Event date

Feb 21, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000481890100011