Targeted Infusion Project: Infusing Data-Centered Pedagogy and Data-Analytical Skills into Introductory Statistics

有针对性的注入项目：将以数据为中心的教学法和数据分析技能注入入门统计学

• 批准号: 2106945
• 负责人: Sayed Mostafa
• 金额: $ 40万
• 依托单位: North Carolina Agricultural & Technical State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106945&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Infusing; Data

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP), through Targeted Infusion Projects, supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue STEM graduate programs and/or careers. Accordingly, in line with recommendations of the National Academies, North Carolina Agricultural & Technical State University (NCA&T) seeks to modernize its introductory statistics course through a redesign that involves the infusion of data science and big data analytics components. This project seeks to achieve three main goals: enhance students’ statistical knowledge and data-analytical skills gained from the Introductory Statistics course; create a pipeline for the new certificate and degree programs in Data Science by preparing and enticing STEM and non-STEM students taking introductory statistics to pursue data science education; and build a faculty cadre capable of, and committed to, teaching introductory statistics using data-centered pedagogy. Each year, the targeted Introductory Statistics course will enroll about 600 students. The redesign of the course will consist of adding a virtual statistical computing lab to the course and adopting evidence-based data-centered pedagogy in teaching the lab and class sessions to enhance students’ understanding of fundamental statistical concepts and to train students to think structurally with data, make data-informed decisions, and expose students, early and frequently, to the elements of the data science workflow. The project will engage the introductory statistics faculty in a suite of professional development activities on adopting the data-centered pedagogy in their teaching. The proposed redesign of introductory statistics is expected to improve students’ knowledge gained from the course, reduce the course repeat rates, help students develop the computational competencies needed for data science and STEM, increase the enrollment in the Data Science programs at the institution, and develop faculty teaching expertise.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.

历史上的黑人学院和大学本科生计划（HBCU-UP），通过有针对性的输液项目，支持开发，实施和基于证据的创新模式和方法的研究，以提高HBCU本科生的准备和成功，使他们可以追求STEM研究生课程和/或职业。因此，根据国家科学院的建议，北卡罗来纳州农业技术州立大学（NCA T）试图通过重新设计，包括数据科学和大数据分析组件的注入，使其入门统计课程现代化。 该项目旨在实现三个主要目标：提高学生从入门统计学课程中获得的统计知识和数据分析技能;通过准备和吸引STEM和非STEM学生参加入门统计学来追求数据科学教育，为数据科学的新证书和学位课程创建管道;建立一支能够并致力于使用以数据为中心的教学法教授入门统计学的教师队伍。每年，有针对性的统计学入门课程将招收约600名学生。该课程的重新设计将包括在课程中添加虚拟统计计算实验室，并在实验室和课堂教学中采用以证据为基础的以数据为中心的教学法，以提高学生对基本统计概念的理解，并培养学生用数据进行结构化思考，做出数据知情的决策，并让学生尽早和频繁地接触数据科学工作流程的元素。该项目将使入门统计教师参与一系列专业发展活动，在教学中采用以数据为中心的教学法。拟议的介绍统计学的重新设计预计将提高学生从课程中获得的知识，降低课程复读率，帮助学生发展数据科学和STEM所需的计算能力，增加该机构数据科学课程的入学率，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。