RET Site: Berkeley Research Experiences for Teachers plus Data Science (BERET+D)

RET 网站：伯克利教师研究经验加数据科学 (BERET D)

• 批准号: 1855308
• 负责人: Simo Makiharju
• 金额: $ 60万
• 依托单位: University of California-Berkeley
• 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: 2020-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1855308&HistoricalAwards=false
• 关键词: RET; Site; Berkeley; Research; Experiences

This RET site at the University of California Berkeley entitled, "RET Site: Berkeley Research Experiences for Teachers plus Data Science (BERET+D)", will focus on research aimed at introducing pre-service and in-service math and science teachers to the use of data science in understanding, analyzing and visualizing engineering and science data, including distributed data sets from science centers across campus. A key element of the BERET+D program is support for teachers to acquire the necessary pedagogical content knowledge to engage their own K-12 students in data science. In-service and pre-service teacher teams will conduct research in a variety of engineering labs and science centers at UC Berkeley. Teacher teams will also participate in a sequence of summer and academic-year professional development activities that support them in translating their research into curriculum. BERET+D will pair pre-service teachers enrolled in the UC Berkeley CalTeach program with experienced in-service teachers serving predominantly underrepresented students in partnering public school districts. These teacher teams will develop essential research, analysis and visualization skills by engaging in data science research. Based on their common research experience, the teacher teams will develop curricula that connect current research to K-12 science and mathematics education and inspire students to see STEM as an exciting career with real-life applications. The teachers are guided in their research efforts by lab-based mentors who will gain instructional experience by serving as research advisers during the summer and as teaching partners in the K-12 classroom during the academic year. In addition, leadership opportunities will be provided to participating teachers by supporting them to co-facilitate academic year professional development workshops.BERET+D will contribute to engineering and scientific research, and K-12 education by supporting teachers to conduct research in the field, learn effective strategies for integrating data science into their classroom instruction, and develop, use and disseminate standards-based curricula. BERET+D will guide teachers to gain an understanding of the processes of conducting research, especially involving large data sets, by engaging in in-depth, authentic research and scaffolded reflections on these experiences in professional development activities. BERET+D will prepare participants to incorporate their research experiences into their classrooms and engage their K-12 students in both understanding and dealing with significant data sets. CalTeach will use RET program data as part of its ongoing efforts in research on teacher education and professional development, evaluating how the unique partnership (between pre-service teachers, in-service teachers, and graduate students) functions in doing authentic engineering research and co-implementing related curriculum in the classroom.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.

加州大学伯克利分校的此RET网站题为“ RET网站：伯克利教师研究经验以及数据科学（贝雷帽+D）”，将重点关注旨在引入服务前的数学和科学教师在理解，分析和分析工程学和科学数据的理解，分析和科学数据的理解，包括跨科学界的分配数据集的研究中使用数据科学。贝雷帽+D计划的一个关键要素是支持教师获得必要的教学内容知识，以使自己的K-12学生参与数据科学。在职和职前教师团队将在加州大学伯克利分校的各种工程实验室和科学中心进行研究。教师团队还将参加一系列夏季和学年的专业发展活动，以支持他们将研究转化为课程。 Beret+D将与参加UC Berkeley Calteach计划入学的职前教师与经验丰富的在职教师，为公立学区合作的人数不足的学生提供服务。这些教师团队将通过参与数据科学研究来发展基本的研究，分析和可视化技能。根据他们的共同研究经验，教师团队将开发课程，将当前的研究与K-12科学和数学教育联系起来，并激发学生将STEM视为现实生活中的令人兴奋的职业。教师的研究工作是由实验室的导师指导的，他们将在夏季担任研究顾问，并在学年中担任K-12教室的合作伙伴，从而获得教学经验。此外，通过支持他们共同利用学年专业发展研讨会，将为参与教师提供领导机会。Beret+D将有助于工程和科学研究，以及K-12教育，通过支持教师在现场进行研究，学习有效的策略，以将数据科学整合到他们的课堂教学中，并开发，使用，并使用，并使用，并使用，并使用基于标准的基于标准。 Beret+D将指导教师了解进行研究的过程，尤其是涉及大型数据集的过程，通过深入，真实的研究和对这些专业发展活动中这些经验的反思。 Beret+D将准备参与者将他们的研究经验纳入课堂，并让他们的K-12学生参与理解和处理重要的数据集。 Calteach将使用RET计划数据作为其在教师教育和专业发展方面正在进行的研究的一部分，并评估独特的伙伴关系（在服务前的教师，服务教师和研究生之间）如何在进行真实的工程研究和共同实现课堂上的相关课程方面的授权奖励，以反映NSF的构建范围，以表现出NSF的合法宣教型，从而在进行真实的工程研究和共同实现方面发挥作用。影响审查标准。