Building Capacity: A Faculty Development Program to Increase Students' Quantitative Reasoning Skills

改善本科STEM教育：西班牙裔服务机构计划（HSI计划）旨在加强本科STEM教育并建立HSI的能力。HSI计划支持的项目也将产生关于如何实现这些目标的新知识。该项目将通过提高STEM教师向本科生教授定量推理技能的能力来推进HSI计划的目标。该项目是纽约城市学院（CUNY）系统中的三所学院之间的合作：雷曼学院、巴鲁克学院和拉瓜迪亚社区学院。该项目计划实施一项大规模的专业发展项目，以提高纽约市立大学所有24所学院的STEM教师教授定量推理技能的能力。专业发展计划将为教师提供定量推理教学的最佳实践知识，以便数学，计算机科学，生命科学，物理科学和社会科学的STEM教师能够有效地将定量推理融入他们的课程。因此，教师将扩大现有的STEM课程，包括数据分析技能，包括收集和解释数据的能力，根据数字证据得出结论，并将这些信息传达给他人。该项目开发的用于扩展课程的材料将通过研讨会或在线提供，供其他教师和机构使用。该项目旨在增加攻读STEM学位的学生人数，尤其是那些来自代表性不足群体的学生。该项目还旨在提高学生的定量推理能力，使这些学生为进入STEM工作岗位做好更好的准备。该项目的第一个目标是建立一个教师发展计划，以培训hsi的教师，使他们了解计算能力建设数据分析研究的最佳实践。第二个目标是在STEM课程中实施数据分析研究经验，旨在支持定量推理能力的提高，以及学生的STEM教育和职业道路。最后，第三个目标是评估该计划对学生的定量推理技能、对定量信息的态度、随后的STEM课程和大学成功的影响，包括他们的保留率和从两年制大学到四年制大学的过渡。研究计划将包括一项混合方法研究，以分析专业发展活动的成果，并从数据分析研究经验中调查学生的成果。该项目旨在产生关于实施专业发展的最佳实践的新知识，以建立STEM教师的专业知识和数据分析方面的教学技能，其总体目标是增强STEM学生的学习体验。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Improving Undergraduate STEM Education: Hispanic-Serving Institutions Program (HSI Program) aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI program will also generate new knowledge about how to achieve these aims. This project will advance the aims of the HSI Program by improving the ability of STEM faculty to teach quantitative reasoning skills to undergraduates. This project is a collaboration between three colleges in the City College of New York (CUNY) system: Lehman College, Baruch College, and LaGuardia Community College. The project plans to implement a large scale professional development project to improve the ability of STEM faculty at all 24 CUNY colleges to teach quantitative reasoning skills. The professional development program will provide faculty with knowledge of best practices for teaching quantitative reasoning, so that STEM faculty from mathematics, computer science, life sciences, physical sciences, and social sciences can effectively integrate quantitative reasoning into their courses. As a result, faculty will expand existing STEM courses to include data analysis skills, including the ability to gather and interpret data, draw conclusions based on numerical evidence, and communicate this information to others. Materials developed by the project for use in the expanded courses will be available via workshops or online, for use by other faculty and institutions. The project aims to increase the number of students, particularly those from underrepresented groups, pursuing a STEM degree. The project also aims to enhance student quantitative reasoning skills, so that these students are better prepared to enter the STEM workforce. The first objective of the project is to establish a faculty development program to train instructors at HSIs in best practices for numeracy-building data analysis research. The second objective is to implement a data analysis research experience in STEM courses, designed to support improvements of the quantitative reasoning capabilities, and the STEM education and career pathways of students. Finally, the third objective is to evaluate the program's impact on students' quantitative reasoning skills, their attitudes towards quantitative information, and their subsequent STEM coursework and college success, including their retention rates and their transitions from two-year to four-year institutions. The research plan will include a mixed method study to analyze the outcomes of the professional development activities and to investigate student outcomes from the data analysis research experience. The project seeks to generate new knowledge about best practices for implementing professional development that builds STEM faculty expertise and teaching skills in data analysis, with the overarching goal of enhancing the learning experiences of STEM students.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.