Building Capacity to Modernize a Master of Arts in Teaching Program by Infusing Data Science and Analytics

该项目旨在建设解决高需求学校STEM教师短缺问题的能力，这是一个重要的国家需求。该项目将采用整体方法为STEM专业人员创建一条获得数学教师认证的途径。作为这一努力的一部分，克拉克亚特兰大大学现有的艺术硕士教学课程将被改造和现代化，成为一个创新的14个月的远程学习计划。新设计的艺术硕士教学计划将使毕业生获得所需的支持，技能和能力，在高需求的学校作为一名优秀的教师。教学艺术硕士课程还将为入学的学生提供使用数据科学技术分析数据的机会，这些数据可以改变教学和学习过程。克拉克亚特兰大大学是一所历史悠久的黑人学院和大学，该项目包括与克莱顿县公立学校的合作。该项目的目标是加强该机构的教学硕士课程，以支持学生入学，保留和毕业，最终培养出准备充分的数学教师，这些教师具有良好的内容知识，有效的教学策略和数据科学技能。本计画将着重于五个目标：（1）建构教学硕士课程架构之建议（2）重新设计教学硕士课程的课程内容，以嵌入数据科学和分析模块;（3）加强与内部利益相关者的伙伴关系;（4）对各组织进行调查，以确定与外部利益攸关方建立实质性伙伴关系的可能性;（5）为今后的费用分摊承诺确定资源。概述的活动有可能导致开发一个模型程序，用于准备代表性不足的科学和数学教师，将数据科学和分析教学方法纳入高需求学校的数学课程。这个能力建设项目是通过罗伯特诺伊斯教师奖学金计划（诺伊斯）的支持。诺伊斯计划支持有才华的STEM本科专业和专业人士成为有效的K-12 STEM教师和经验丰富的模范K-12 STEM教师，成为高需求学区的STEM硕士教师。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to build the capacity to address STEM teacher shortages in high-need schools, an important national need. The project will use a holistic approach to create a pathway for STEM professionals to earn mathematics teacher certification. As a part of this effort, the existing Master of Arts in Teaching curriculum at Clark Atlanta University will be revamped and modernized into an innovative 14-month distance learning program. The newly designed Master of Arts in Teaching program will enable graduates to gain the support, skills, and competence needed to excel as a teacher in a high-need school. The Master of Arts in Teaching program will also provide enrolled students with opportunities to use data science techniques to analyze data that can transform the teaching and learning process.This project at Clark Atlanta University, a Historically Black College and University, includes a partnership with Clayton County Public Schools. The goal of the project is to enhance the curriculum of the institution's Master of Arts in Teaching program to support student enrollment, retention, and graduation, ultimately producing well-prepared mathematics teachers that have sound content knowledge, effective pedagogical strategies, and data science skills. The project will focus on five objectives: (1) Construct a proposal to restructure the Master of Arts in Teaching (Mathematics) program for currency and marketability; (2) Redesign course content in the Master of Arts in Teaching program to embed data science and analytics modules; (3) Reinforce partnerships with internal stakeholders; (4) Survey organizations to determine the potential for substantive partnerships with external stakeholders; and (5) Identify resources for a future cost-sharing commitment. The outlined activities have potential to lead to the development of a model program for preparing underrepresented science and mathematics teachers to incorporate data science and analytics teaching methods into mathematics curricula in high-need schools. This Capacity Building project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 STEM teachers to become STEM master teachers in high-need school districts. It also supports research on the persistence, retention, and effectiveness of K-12 STEM teachers in high-need school districts.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.