SBIR Phase I: Learning Acceleration in Cyber Security Education and Training through Content Filtering, Intelligent Tutoring, and Scenario-based Gaming

小企业创新研究(SBIR)第一阶段项目旨在创建一个可靠的知识和培训系统，使受训者和学生能够在社会的任何部门以更快的速度学习更多材料，同时在此过程中：1)促进学习加速的教学基础的科学知识(特别是通过更好地了解内容过滤、智能辅导和增加学习者参与度的独立和综合影响)，以及2)创建将立即在军事、政府和教育中应用的网络安全培训课程。该项目的智力贡献源于它在两个平行领域的工作，第一个是经验领域，第二个是技术领域。在经验方面，该项目很可能是第一个通过实验评估内容过滤、智能辅导和生理测量、游戏诱导的学习者参与度对掌握速度的影响的个人和组合影响。在技术上，该项目将通过以下开发来增强学习内容创作、交付和管理系统的功能：1)在支持内容过滤和智能教学的可移植、可扩展工具集上运行的预测性学习者建模子系统，以及2)基于场景的游戏引擎的配置参数。学习加速是军事、企业和教育部门的基本和核心目标，但在很大程度上尚未实现。虽然关于提高学习速度的方法的知识有限，但人们一致认为，学习加速方面的重大进步可能是由技术驱动的。该项目将在改善网络安全和网络安全教育的背景下进行，从而将重点放在对我们的国家福祉和企业持续成功构成迅速增长的威胁上。人们普遍认为，为了保护美国人的生活方式，网络安全以及网络安全培训和教育方面的巨大改进是必要的。

This Small Business Innovation Research (SBIR) Phase I project seeks to create a knowledge and training system that will reliably enable trainees and students to learn more material at a faster rate in any sector of society while, in the process: 1) advancing the scientific knowledge of the pedagogical underpinnings of learning acceleration (specifically through a better understanding of the independent and combined effects of content filtering, intelligent tutoring, and increased learner engagement), and 2) creating a cybersecurity training lesson that will have immediate applications in the military, in government and in education. The intellectual contribution of the project stems from its work in two parallel domains, the first empirical, the second technological. On the empirical front, the project would likely be the first to experimentally assess the individual and combined impacts of content filtering, intelligent tutoring and physiologically-measured, gaming-induced learner engagement on speed to mastery. Technologically, the project would enhance the functionality of a learning content authoring, delivery and management system through the development of: 1) a predictive learner modeling subsystem running on a portable, extensible tool set that supports content filtering and intelligent tutoring, and 2) configuration parameters for a scenario-based gaming engine.Learning acceleration is a fundamental and central, yet largely unattained, goal of the military, corporate and education sectors. While knowledge of the means by which learning speed can be increased is limited, there is solid agreement that major advances in learning acceleration are likely to be technology driven. The project will be conducted within the context of improving cybersecurity and cybersecurity education, thereby focusing on a threat of rapidly increasing magnitude to our national well-being and continued corporate success. Vast improvements in cybersecurity and cybersecurity training and education are widely believed to be necessary to protect the American way of life.