Targeted Infusion Project: An Innovative Approach to Improving Undergraduate Student Performance in Computer Science at Howard University

定向输注项目：提高霍华德大学计算机科学本科生成绩的创新方法

• 批准号: 1332212
• 负责人: Legand Burge
• 金额: $ 37.39万
• 依托单位: Howard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1332212&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Innovative; Approach

The Targeted Infusion Project at Howard University will address the challenge of increasing the number of African-American undergraduates in computer science by establishing a multi-layered program that includes a partnership with Google, Inc. The project includes: a virtual pre-college program for incoming freshmen; a revised and restructured Computer Science course curriculum that includes culturally-relevant content; Googler co-instructors and guest speakers for introductory Computer Science courses; a mentoring program pairing freshmen with Googlers; a Computer Science boot-camp for peer-led tutoring targeting introductory Computer Science courses; faculty professional development; and undergraduate research opportunities in Computer Science. Project activities will provide student participants with a better understanding of Computer Science and the broad opportunities available within the field. Students will establish support systems that include industry mentors, department faculty, and peers to help them not only persist, but succeed in Computer Science. The enhanced curriculum will also help students develop critical thinking skills, including problem solving, algorithm development, and higher-level programming.This project will increase the participation of underrepresented minorities in Computer Science and enhance the educational infrastructure at Howard University. Additionally, the project will directly impact fifteen pre-service teachers and enhance the preparation of future K-12 teachers. The project can serve as a model for Computer Science departments, particularly those at other Historically Black Colleges and Universities that share similar challenges with student enrollment, engagement, and retention. Findings will be broadly disseminated increasing Computer Science literacy.

霍华德大学的定向注入项目将通过建立一个多层计划（其中包括与谷歌公司合作）来解决增加计算机科学领域非裔美国本科生数量的挑战。该项目包括：针对即将入学的新生的虚拟大学预科课程；修订和重组的计算机科学课程，包括文化相关内容；计算机科学入门课程的 Google 员工联合讲师和客座讲师；将新生与 Google 员工配对的辅导计划；计算机科学训练营，针对计算机科学入门课程进行同行辅导；教师专业发展；以及计算机科学的本科生研究机会。项目活动将使学生参与者更好地了解计算机科学以及该领域提供的广泛机会。学生将建立包括行业导师、系教师和同行在内的支持系统，帮助他们不仅坚持下去，而且在计算机科学领域取得成功。增强后的课程还将帮助学生培养批判性思维技能，包括解决问题、算法开发和高级编程。该项目将增加代表性不足的少数族裔对计算机科学的参与，并增强霍华德大学的教育基础设施。此外，该项目将直接影响 15 名职前教师，并加强未来 K-12 教师的准备。该项目可以作为计算机科学系的典范，特别是其他历史悠久的黑人学院和大学的计算机科学系，这些学院和大学在学生入学、参与度和保留方面面临着类似的挑战。研究结果将广泛传播，以提高计算机科学素养。