SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security

被引:10
|
作者
O'Connor, Stuart
Hasshu, Salim
Bielby, James
Colreavy-Donnelly, Simon
Kuhn, Stefan
Caraffini, Fabio
Smith, Richard
机构
[1] School of Computer Science and Informatics, De Montfort University, Leicester
[2] CSIS, University of Limerick
关键词
Serious games; Simulations; Incident training; Cooperative learning; Collaborative learning; CYBERSECURITY; AWARENESS; DESIGN; PERFORMANCE; CHALLENGES; EDUCATION; SYSTEMS; HEALTH; MODEL;
D O I
10.1016/j.ins.2021.08.098
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Training effective simulation scenarios presents numerous challenges from a pedagogical point of view. Through application of the Conceptual Framework for e-Learning and Training (COFELET) as a pattern for designing serious games, we propose the use of the Simulated Critical Infrastructure Protection Scenarios (SCIPS) platform as a prospective tool for supporting the process of providing effective cyber security training. The SCIPS platform is designed to run different scenarios, such as examples in financial forecasting and business infrastructures, with an initial scenario developed in collaboration with industrial partners focusing on an electricity generation plant. Focus groups from these sources were conducted to identify design and developmental considerations for the platform. As an extension from the COFELET framework, we propose an intelligence scaffolding practice as a guidance mechanic taking the form of an agent within the scenario. The agent represents a major innovation in the system and we envisage a deep learning-based augmentation to further adapt towards the behavioural aspects of learners. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:524 / 540
页数:17
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