RET Site: Research Experiences for Teachers in Big Data and Data Science

RET 网站：大数据和数据科学教师的研究经验

• 批准号: 1801513
• 负责人: Olfa Nasraoui
• 金额: $ 59.81万
• 依托单位: University of Louisville Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-02-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1801513&HistoricalAwards=false
• 关键词: RET; Site; Research; Experiences; Teachers

This award creates a new Research Experiences for Teachers (RET) Site focused on Big Data and data science at the University of Louisville. Each summer, ten high school Science/Technology/Engineering/Mathematics (STEM) teachers will participate in research activities with faculty in labs at the University of Louisville. The teachers will be recruited from Jefferson County Public Schools and the Ohio Valley Education Consortium. Teachers in this site will apply fundamental data science techniques and learn Big Data principles while investigating real world problems with social relevance. The fast pace of low-cost technological innovation and data-centered operations have led to an explosion of data that can be used to solve problems and provide new insights for the future. This includes projects involving areas such as human welfare, healthcare, smart cities, and robotics. The participating teachers will translate their research experiences and knowledge into classroom practice by developing instructional modules and course materials that they will introduce in their classrooms and share with other teachers in their school districts. These activities all contribute to the formation of a community of practice in partnership with the University of Louisville faculty mentors that has the potential to significantly enhance STEM education in the participating school districts.RET Site participants will participate in cutting-edge research projects with state-of-the-art data science tools and techniques. The RET Site features a unique combination of faculty mentors from the Department of Computer Engineering and Computer Science who have experience in both hardware and software, which is a synergistic combination in the field of Big Data. The goals include: providing quality research experiences in Big Data and data science for the high school teachers; strengthening the connection between the computing faculty and the school districts; enhancing high school teachers' understanding of engineering research design and the principles of Big Data; enhancing high school teachers' abilities to teach engineering and computer science concepts in a compelling way; and preparing engineering graduate students and university faculty to assist and support the high school teachers and their students. As Big Data permeates all sectors of society, Big Data problems often arise in diverse disciplines, not just the computing field. The data-enabled approach is revolutionizing the way scientists and engineers in many fields practice, understand, and make discoveries. Thus, Big Data can impact all STEM subjects and may become fundamental to a quality high school STEM education. This project will help develop a core group of teachers who can bring Big Data principles and methods into their classrooms and excite high school students about the potential of Big Data and data science and its relevance to many possible career paths of the future.

该奖项创建了一个新的教师研究体验（RET）网站，专注于路易斯维尔大学的大数据和数据科学。每年夏天，十名高中科学/技术/工程/数学（STEM）教师将与路易斯维尔大学实验室的教职员工一起参加研究活动。这些教师将从杰斐逊县公立学校和俄亥俄河谷教育联盟招募。该网站的教师将应用基本的数据科学技术，学习大数据原理，同时调查具有社会相关性的现实世界问题。低成本技术创新和以数据为中心的操作的快速发展导致了数据的爆炸式增长，这些数据可用于解决问题并为未来提供新的见解。这包括涉及人类福利、医疗保健、智能城市和机器人等领域的项目。参与的教师将通过开发教学模块和课程材料，将他们的研究经验和知识转化为课堂实践，并将其引入课堂，并与所在学区的其他教师分享。这些活动都有助于与路易斯维尔大学教师导师合作形成一个实践社区，这有可能显著提高参与学区的STEM教育。RET网站的参与者将使用最先进的数据科学工具和技术参与尖端的研究项目。RET网站的特色是由计算机工程和计算机科学系的教师导师组成的独特组合，他们在硬件和软件方面都有经验，这是大数据领域的协同组合。目标包括：为高中教师提供高质量的大数据和数据科学研究经验；加强计算机学院与学区之间的联系；加强高中教师对工程科研设计和大数据原理的理解；提高高中教师以令人信服的方式教授工程和计算机科学概念的能力；并准备工程研究生和大学教师协助和支持高中教师和他们的学生。随着大数据渗透到社会的各个领域，大数据问题往往出现在各个学科，而不仅仅是计算领域。数据驱动的方法正在彻底改变许多领域的科学家和工程师实践、理解和发现的方式。因此，大数据可以影响所有STEM学科，并可能成为高质量高中STEM教育的基础。该项目将帮助培养一批核心教师，他们能够将大数据原理和方法带入课堂，并激发高中学生对大数据和数据科学的潜力及其与未来许多可能的职业道路的相关性的兴趣。

项目成果

Board 313: Implementing Computational Thinking Strategies across the Middle/High Science Curriculum

Board 313：在中/高中科学课程中实施计算思维策略

• 发表时间: 2023
• 期刊: 2023 ASEE Annual Conference & Exposition
• 作者: Tretter, T. R.

Research Experience for Teachers: Teachers as Learners and Facilitators

教师的研究经验：教师作为学习者和促进者

• 发表时间: 2021
• 期刊: Virtual Conference.
• 作者: Philipp, S.;& Nasraoui, O.;& Immekus, J.;& Zhong, J.
• 通讯作者: & Zhong, J.