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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-02-15 至 2024-06-30

项目摘要

项目成果

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中文摘要
翻译
该奖项在路易斯维尔大学创建了一个新的教师研究体验(RET)网站,专注于大数据和数据科学。每年夏天,十名高中科学/技术/工程/数学(STEM)教师将在路易斯维尔大学的实验室与教职员工一起参加研究活动。教师将从杰斐逊县公立学校和俄亥俄山谷教育联盟招聘。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,同时调查现实世界中与社会相关的问题。低成本技术创新和以数据为中心的运营的快速步伐导致了可用于解决问题和为未来提供新见解的数据的爆炸性增长。这包括涉及人类福利、医疗保健、智慧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,他们将在课堂上介绍这些模块和课程材料,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实践社区,有可能显著提高参与学区的STEM教育。RET站点参与者将使用最先进的数据科学工具和技术参与尖端研究项目。RET网站的特色是来自计算机工程系和计算机科学系的教师导师的独特组合,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:为高中教师提供优质的大数据和数据科学研究体验;加强计算教师与学区之间的联系;增强高中教师对工程研究设计和大数据原理的理解;增强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;以及培养工程学研究生和大学教师帮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,大数据的问题往往出现在不同的学科,而不仅仅是计算领域。这种以数据为基础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科目,并可能成为优质高中STEM教育的基础。该项目将帮助培养一支能够将大数据原理和方法带入课堂的核心教师团队,并让高中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感到兴奋。
英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
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
DOI: --
发表时间: 2023
期刊: 2023 ASEE Annual Conference & Exposition
影响因子: --
作者: [Tretter, T. R.]
通讯作者: 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
DOI: --
发表时间: 2021
期刊: Virtual Conference.
影响因子: --
作者: [Philipp, S., & Nasraoui, O., & Immekus, J., & Zhong, J.]
通讯作者: & Zhong, J.
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