Targeted Infusion Project: Infusing Data Science into the Computer Science Undergraduate Curriculum

历史黑人学院和大学本科课程(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。诺福克州立大学的这个项目旨在通过让来自计算机科学、化学和其他STEM学科的学生学习数据科学来增加数据科学家的劳动力。项目调查人员将利用认知建构主义学习理论和精加工理论与经验学习相结合的方式，将数据科学模块注入现有课程。该项目有明确的衡量标准和强有力的终结性和形成性评估计划。该项目通过增加接触数据科学的学生和教职员工数量来解决劳动力中数据科学家的短缺问题。项目小组正在开发课程，并将24个模块注入计算机科学的四个班级，CS1、CS2、Java编程和计算机安全I。注入的基础是认知建构主义和精化学习理论与经验学习，这些方法被认为是成功的。这些课程让所有计算机科学专业的学生接触数据科学领域的CS1、CS2和Java编程(都是必修课)，并让许多学习网络安全的学生接触到机器学习在网络安全领域的适用性。为了帮助非计算机科学STEM专业的学生接触到这一领域，有两个针对STEM系教师的暑期训练营，如化学、生物、技术和数学。这些教师将接触到数据科学，为各自的特定学科创建两个模块，并将这些模块注入这些课程。为了让学生了解行业需求并促进与行业的合作，9名学生将参加由行业工作人员和项目调查员共同监督的暑期实习。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 Norfolk State University seeks to increase data scientists in the work force by exposing students from computer science, chemistry, and other STEM disciplines to the study of data science. The Project Investigators will utilize cognitive constructivism learning theory and the Elaboration Theory paired with experiential learning to infuse data science modules into existing curricula. The project has clear metrics and a strong plan for summative and formative evaluation. The project addresses the shortage of data scientists in the workforce by increasing the number of students and faculty exposed to data science. The Project Team is developing and infusing into the curriculum, twenty-four modules into four computer science classes, CS1, CS2, Java Programming and Computer Security I. The infusion is based on cognitive constructivism and Elaboration Learning Theories with experiential learning, approaches which are known to be successful. These courses expose all Computer Science majors to the field of Data Science in CS1, CS2 and Java Programming (all required courses) and expose many students taking cybersecurity to the applicability of machine learning to the field of cybersecurity. To help expose non-Computer Science STEM majors to the field, there are two summer bootcamps for faculty from STEM departments such as Chemistry, Biology, Technology, and Mathematics. These faculty will be exposed to data science, create two modules each for their specific disciplines, and infuse these modules into these courses. To expose students to industry needs and to foster collaboration with industry, nine students will participate in summer internships jointly supervised by industry staff and the Project Investigators.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.