Collaborative Research: SaTC: EDU: Building an Electronic Voting Technology Inspired Interactive Teaching and Learning Framework for Cybersecurity Education

合作研究：SaTC：EDU：构建电子投票技术启发的网络安全教育互动教学框架

• 批准号: 2011117
• 负责人: Xukai Zou
• 金额: $ 23万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2011117&HistoricalAwards=false
• 关键词: Collaborative; Research; SaTC; EDU; Building

Information technology advances quickly and the computer science knowledge base expands dramatically along with it. These bring about new interconnections, challenges and opportunities in cybersecurity education. Two main educational themes resulting from these changes are interactive learning and dynamic/adaptive computer science course curricula. E-voting is a unique technology with rich (even conflicting) features that play roles in education related to these educational themes. Recent studies show that lessons based on E-voting technology enhance student learning outcomes when used in the classroom. This project aims to build an Electronic Voting Technology Inspired Interactive Teaching and Learning Framework for Cybersecurity Education that will effectively improve student learning outcomes and meet the needs of dynamic/adaptive computer science course curricula. This project addresses cybersecurity education by using e-voting as a basis. It emphasizes student-centered interactive learning by developing and using composable and interactive modules. The composable security topic modules allow an instructor to form a comprehensive or light-weighted information security curriculum or to integrate security topics into other courses. It can support dynamic/adaptive computer science course curricula. The interactive teaching and learning modules enable student-centered extensive and deep interactive learning, e.g., student-centered interactions and full engagement in the entire learning process and systematic inter-connection/transition among different teaching and learning activities and between topics. It supports broader teaching and learning activities not only within the classroom but also outside the classroom, not only involving class lecturing, but also involving class projects. It supports six student-centered interactions between the instructor and students, between students and students, and between students and the E-voting system. As a result, the project significantly enhances student learning outcomes in cybersecurity. It will attract more students, even undergraduates, underrepresented student groups and/or high school students, to the cybersecurity field and lead more undergraduate/minority/high school students to security research.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.

信息技术的飞速发展和计算机科学知识基础的沿着急剧膨胀，给网络安全教育带来了新的联系、挑战和机遇。这些变化所产生的两个主要教育主题是互动学习和动态/自适应计算机科学课程。电子投票是一种独特的技术，具有丰富（甚至相互冲突）的功能，在与这些教育主题相关的教育中发挥作用。最近的研究表明，基于电子投票技术的课程在课堂上使用时可以提高学生的学习效果。本项目旨在为网络安全教育建立一个电子投票技术启发的互动教学框架，以有效提高学生的学习成果，并满足动态/自适应计算机科学课程的需求。该项目以电子投票为基础开展网络安全教育。它强调以学生为中心的互动学习，通过开发和使用组合和互动模块。可组合的安全主题模块允许教师形成全面或轻量级的信息安全课程，或将安全主题集成到其他课程中。它可以支持动态/自适应计算机科学课程。互动式教学和学习模块实现了以学生为中心的广泛和深入的互动学习，例如，以学生为中心的互动，以及在整个学习过程中的全面参与，以及不同教学活动和课题之间有系统的相互联系/过渡。它支持更广泛的教学和学习活动，不仅在课堂上，而且在课堂外，不仅涉及课堂授课，而且还涉及课堂项目。它支持教师与学生之间、学生与学生之间以及学生与电子投票系统之间的六种以学生为中心的交互。因此，该项目大大提高了学生在网络安全方面的学习成果。它将吸引更多的学生，甚至是本科生、代表性不足的学生团体和/或高中生，进入网络安全领域，并引导更多的本科生/少数民族/高中生进行安全研究。该奖项反映了NSF的法定使命，并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，被认为值得支持。

项目成果

An Adaptive Plug-and-Play (PnP) Interactive Platform for an E-Voting based Cybersecurity Curricula

用于基于电子投票的网络安全课程的自适应即插即用 (PnP) 交互平台

• 发表时间: 2023
• 期刊: IFIP International Symposium on Human Aspects of Information Security & Assurance (HAISA'23
• 作者: Muwei Zheng, Nathan Swearingen

Case Study: Mapping an E-Voting Based Curriculum to CSEC2017

案例研究：将基于电子投票的课程映射到 CSEC2017

• DOI: 10.1145/3545945.3569811
• 发表时间: 2023
• 期刊: SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education
• 作者: Zheng, Muwei;Swearingen, Nathan;Mills, Steven;Gyurek, Croix;Bishop, Matt;Zou, Xukai
• 通讯作者: Zou, Xukai

Learning Discriminative Features for Adversarial Robustness

学习对抗鲁棒性的判别特征

• DOI: 10.1109/msn53354.2021.00055
• 发表时间: 2021
• 期刊: Sensing and Networking (MSN 2021
• 作者: Hosler, Ryan;Phillips, Tyler;Yu, Xiaoyuan;Sundar, Agnideven;Zou, Xukai;Li, Feng
• 通讯作者: Li, Feng

Electronic Voting Technology Inspired Interactive Teaching and Learning Pedagogy and Curriculum Development for Cybersecurity Education

电子投票技术启发网络安全教育的互动教学法和课程开发

• DOI: 10.1007/978-3-030-80865-5_3
• 发表时间: 2021
• 期刊: vol 615
• 作者: Hosler, Ryan;Zhou, Xukai;Bishop, Matt
• 通讯作者: Bishop, Matt