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MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning

Wang, Jingyun; Hodgson, Ryan; Cristea, Alexandra I.

MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning Thumbnail


Authors

Ryan Hodgson ryan.t.hodgson@durham.ac.uk
Post Doctoral Research Associate



Contributors

Scott Crossley
Editor

Elvira Popescu
Editor

Abstract

In this paper, we propose an educational game framework allowing instructors to customise the game’s learning content in the context of cyber-security, with the aim of ensuring learners are engaged with educational games. This can further support them continuing to acquire useful cyber-security knowledge, while playing with their peers. Based on this framework, a prototype digital game called “Cyberpoly” was implemented and evaluated. This game allows unfamiliar or potentially unappealing, ‘dry’ learning contents (on cyber-attacks and incidents) to be placed in a context similar to a “monopoly” game board, encouraging multiple players to take an active role when landing on various cyber-attack or incident squares. The learner can not only answer the questions generated by the game, but also actively send cyber-attacks to other players, when landing on another’s land. Learner data was collected from 30 undergraduate participants, with results suggesting that most found it engaging and felt motivated to learn. Further to this, we also obtained feedback from two academic professors, to discuss not only game-play but also game element management.

Citation

Wang, J., Hodgson, R., & Cristea, A. I. (2022). MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. In S. Crossley, & E. Popescu (Eds.), Intelligent Tutoring Systems (313-322). Springer Verlag. https://doi.org/10.1007/978-3-031-09680-8_29

Online Publication Date Jun 24, 2022
Publication Date 2022
Deposit Date Aug 8, 2022
Publicly Available Date Jun 24, 2023
Publisher Springer Verlag
Pages 313-322
Series Title Lecture Notes in Computer Science
Series Number 13284
Book Title Intelligent Tutoring Systems
ISBN 978-3-031-09679-2
DOI https://doi.org/10.1007/978-3-031-09680-8_29
Public URL https://durham-repository.worktribe.com/output/1621314

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