Dr Jingyun Wang jingyun.wang@durham.ac.uk
Assistant Professor
MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning
Wang, Jingyun; Hodgson, Ryan; Cristea, Alexandra I.
Authors
Ryan Hodgson ryan.t.hodgson@durham.ac.uk
Post Doctoral Research Associate
Professor Alexandra Cristea alexandra.i.cristea@durham.ac.uk
Professor
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 |
Files
Accepted Book Chapter
(588 Kb)
PDF
Copyright Statement
The final authenticated version is available online at https://doi.org/10.1007/978-3-031-09680-8_29
You might also like
PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art
(2023)
Presentation / Conference Contribution
Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry
(2022)
Presentation / Conference Contribution
A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics
(2022)
Presentation / Conference Contribution
A Framework of Exercise Recommendation for Novice Learners in Computer Programming
(2021)
Presentation / Conference Contribution
Semi-automatic Construction of Ontology Based on Data Mining Technique
(2017)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search