Targeted Infusion Project: Integrating Artificial Intelligence in Computer Science majors at Hampton University

历史黑人学院和大学本科项目(HBCU-UP)通过有针对性的灌输项目，支持基于证据的创新模式和方法的开发、实施和研究，以改善HBCU本科学生的准备和成功，使他们能够攻读科学、技术、工程或数学(STEM)研究生课程和/或职业。汉普顿大学的这个项目将加强计算机科学系的本科教育，让学生做好准备，以满足与人工智能(AI)相关的劳动力需求或人工智能高级研究。本科生作为研究人员和同行导师参与了这个项目。该项目的主要目标是将人工智能模块和作业整合到核心计算机科学课程中，以增加学生与人工智能领域相关的职业准备、知识和专业技能。这三项具体活动将是：开发人工智能模块和与课程相关的作业；改革核心计算机科学课程；以及加强目前的高级选修课，如人工智能、机器学习和数据科学。该项目将广泛传播其研究结果，并对非裔美国人计算机科学专业的教育产生重大而广泛的影响。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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 science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Hampton University will enhance undergraduate education in the Computer Science department to prepare students to meet the needs of the workforce related to Artificial Intelligence (AI) or advanced studies in AI. Undergraduate students are involved in the project as researchers and peer tutors. The key goal of this project is to integrate artificial intelligence modules and assignments into core computer science courses to increase students' career preparation, knowledge, and professional skills related to an area of artificial intelligence. The three specific activities will be to: develop artificial intelligence modules and course-relevant assignments; reform the core computer science courses; and enhance the current advanced elective courses, such as Artificial Intelligence, Machine Learning, and Data Science. The project will disseminate its findings widely and have significant broader impacts on the education of African American computer science majors.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.