EDU: QuaSim: A Virtual Interactive Quantum Cryptography Educator-A Project-based Gamified Educational Paradigm

EDU：QuaSim：虚拟交互式量子密码学教育者——基于项目的游戏化教育范式

• 批准号: 1623380
• 负责人: Abhishek Parakh
• 金额: $ 29万
• 依托单位: University of Nebraska at Omaha
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1623380&HistoricalAwards=false
• 关键词: EDU; QuaSim; Virtual; Interactive; Quantum

Quantum cryptography is a subject that is typically difficult to learn. One possible reason is that students are treated as passive recipients with linear and fragmented teaching presentations that provide no opportunity for learning the holistic nature of the discipline. Further, quantum cryptographic equipment is expensive and beyond the reach of most universities. At the same time, project-based learning environments are proven more likely to meet educational objectives compared to traditional lectures. QuaSim is a pedagogical game-based simulator that allows students an interactive experience to improve learning by transforming subject-based lectures in quantum cryptography into project-based virtual simulations.The knowledge components in QuaSim are codified in a highly expressive first-order logic augmented with abductive reasoning to generate explanations for user interactions and solutions. A continual adaptive framework generates customized scenarios and mine responses to measurably improve learning. While a user who is repeatedly able to solve problems without hints is led to harder and/or timed problems, a user repeatedly performing erroneous interactions is fed into pre-defined and automatically learned error models to identify the responsible knowledge component and prescribed scenarios with hints to address knowledge gaps. QuaSim is perhaps the first game-based simulator for quantum cryptography that incorporates abductive theorem proving along with data analysis to continuously adapt game scenarios based on user performance to measurably improve learning. Such adaptations enable instructors to empirically and quantifiably relate student performance to knowledge components and design lesson plans. QuaSim is expected to improve the quality and efficiency of undergraduate and graduate STEM education.

量子密码学是一门通常很难学的学科。一个可能的原因是，学生被视为被动的接受者，线性和零散的教学演示没有提供机会学习学科的整体性质。此外，量子加密设备价格昂贵，大多数大学负担不起。同时，与传统授课相比，基于项目的学习环境被证明更有可能满足教育目标。Quasim是一个基于游戏的教学模拟器，通过将量子密码学中以主题为基础的讲座转换为基于项目的虚拟模拟，使学生能够通过交互体验来改善学习。Quasim中的知识组件被编码在高度表达的一阶逻辑中，并增加了溯因推理，以生成对用户交互和解决方案的解释。持续的自适应框架生成定制的场景和挖掘响应，以显著改进学习。虽然重复地能够在没有提示的情况下解决问题的用户被引导到更困难和/或定时的问题，但是重复执行错误交互的用户被馈送到预定义的和自动学习的错误模型中，以识别负责的知识成分和具有提示的规定场景，以解决知识差距。Quasim可能是第一个基于游戏的量子密码学模拟器，它将溯因定理证明与数据分析相结合，根据用户的表现不断调整游戏场景，以显著改善学习。这样的适应使教师能够经验性地和定量地将学生的表现与知识组成部分联系起来，并设计教案。预计卡西姆将提高本科生和研究生STEM教育的质量和效率。