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.

从教学的角度来看，训练有效的模拟场景提出了许多挑战。通过应用电子学习和培训概念框架 (COFELET) 作为设计严肃游戏的模式，我们建议使用模拟关键基础设施保护场景 (SCIPS) 平台作为支持提供有效网络的过程的前瞻性工具安全培训。SCIPS 平台旨在运行不同的场景，例如财务预测和业务基础设施中的示例，初始场景是与专注于发电厂的工业合作伙伴合作开发的。来自这些来源的焦点小组进行了确定平台的设计和开发注意事项。作为 COFELET 框架的扩展，我们提出了一种情报脚手架实践，作为在场景中采取代理形式的指导机制。代理代表了系统中的一项重大创新，我们设想了一种基于深度学习的增强，以进一步适应学习者的行为方面。