Collaborative Research: Fostering Virtual Learning of Data Science Foundations with Mathematical Logic for Rural High School Students

协作研究：促进农村高中生数据科学基础与数学逻辑的虚拟学习

基本信息

批准号：
2201394
负责人：
Wanli Xing
金额：
$ 100万
依托单位：
University of Florida
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-15 至 2026-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2201394&HistoricalAwards=false
关键词：
Collaborative Research Fostering Virtual Learning

项目摘要

Data science is revolutionizing science and industry, and the current job market has shown a strong demand for a workforce fluent in data science. The LogicDataScience (LogicDS) curriculum in the Florida Virtual Schools (FLVS) is introducing high school students to this exciting area and related careers. The project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDS curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students. The strategy behind this curriculum development for data science explores the utility of emphasizing how the foundations of data science in computing, mathematics, and statistics are unified by mathematical logic. The project is studying the impacts of the new curriculum on students’ learning of computing, mathematics, and statistics. At the core of the proposed curriculum is a principled, unified, and novel approach naturally and rigorously integrating the foundations of data science in computing, mathematics, and statistics through mathematical logic. The foundations of computing, mathematics, and statistics are contextualized in each other and in real-life, data-rich problems in this curriculum. This approach does two things that hold fundamental promise for data science education. First, it draws relations between statistics and computing in ways that are helpful for data science learners. Second, it reduces cognitive load and makes learning of key constructs of data science more accessible. A design-based research paradigm guides the project, which is directly impacting about 1,000 students. The project uses microgenetic analysis to study the mechanisms underlying student learning premised by the rationale of the curriculum. In addition, a quasi-experimental study is being employed to investigate comparatively the impact of the new curriculum on students’ learning of computing, mathematics, and statistics and in what way it affects their learning. The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of STEM subjects by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.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.

数据科学正在彻底改变科学和工业，当前的就业市场对数据科学的劳动力有很强的需求。佛罗里达虚拟学校（FLVS）的LogicDataScience（Logicds）CurrentCulum正在向高中生介绍这一令人兴奋的领域和相关职业。该项目解决了一个主要的教育障碍，即粗糙的学生不太可能选择STEM专业，并且较少获得高素质教师教授的先进STEM课程的机会。预计逻辑课程和虚拟交付将大大挽救资源限制，从而吸引农村学生。这项数据科学课程开发背后的策略探讨了强调数据科学基础在计算，数学和统计中如何通过数学逻辑统一的。该项目正在研究新课程对学生学习计算，数学和统计数据的影响。所提出的课程的核心是一种校长，统一和新颖的方法自然，严格地通过数学逻辑来整合计算，数学和统计数据中数据科学的基础。在本课程中，计算，数学和统计的基础相互和现实，数据丰富的问题在彼此之间进行了上下文化。这种方法做了两件事，可以对数据科学教育有基本的希望。首先，它以对数据科学学习者有用的方式吸引统计和计算之间的关系。其次，它减少了认知负载，并使数据科学的关键结构更加易于访问。基于设计的研究范式指导该项目，该项目直接影响约1,000名学生。该项目使用微遗传学分析来研究课程理由的基础学生学习的基础机制。此外，正在聘请一项准实验研究来研究新课程对学生对计算，数学和统计数据学习的影响，并以什么方式影响他们的学习。 Discovery Research Prek-12计划（DRK-12）试图通过研究和开发创新资源，模型和工具来显着增强PreK-12学生和教师对STEM学科的学习和教学。 DRK-12计划中的项目基于STEM教育和先前的研发工作的基础研究，为拟议项目提供了理论和经验的理由。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来支持的珍贵支持。