STTR Phase I: A simulation tool to teach cybersecurity and digital fluency practices

STTR 第一阶段：用于教授网络安全和数字流畅实践的模拟工具

• 批准号: 2112181
• 负责人: Jake Rabideau
• 金额: $ 25.6万
• 依托单位: CYBERSPARA, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112181&HistoricalAwards=false
• 关键词: STTR; Phase; simulation; tool; teach

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to develop an effective, engaging education platform to teach cybersecurity awareness and best practices to protect against cyber threats. Identity theft affects millions of individuals every year, costing billions of dollars and severe personal difficulties to those affected. Privacy education is essential to address the potential dangers facing the billions of people using these platforms.This Small Business Technology Transfer (STTR) Phase I project plans to develop an online simulation product that engages citizens to experience cybersecurity simulations that emulate various real-world cyberthreats while implementing evidence-based learning research in digital media and instructional systems technologies. For educational service providers, this solution will provide an effective standards-based computer science and digital fluency learning approach to cybersecurity for the school-age population. By using developmentally appropriate instructional and teaching strategies, the solution plans to address and measure effectiveness across a wide range of age groups, demographics and education levels.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小企业技术转让（STTR）第一阶段项目的更广泛的影响/商业潜力是开发一个有效的，引人入胜的教育平台，以教授网络安全意识和最佳实践，以防范网络威胁。身份盗窃每年影响数百万人，造成数十亿美元的损失，并给受影响的人带来严重的个人困难。隐私教育对于解决数十亿使用这些平台的人所面临的潜在危险至关重要。这个小企业技术转移（STTR）第一阶段项目计划开发一个在线模拟产品，让公民体验模拟各种现实世界网络威胁的网络安全模拟，同时在数字媒体和教学系统技术方面实施循证学习研究。对于教育服务提供商来说，该解决方案将为学龄人口的网络安全提供有效的基于标准的计算机科学和数字流畅性学习方法。通过使用适合发展的教学和教学策略，该解决方案计划解决和衡量各种年龄组，人口统计和教育水平的有效性。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。