Developing Evidence-based Best Practices for Broadening Participation in Computing Education

对有动力、有能力的计算劳动力的需求持续增长。然而，解决这一需求的努力继续达不到预期。该项目旨在根据科学证据提供潜在的解决方案，以满足我国扩大计算人才库的需求。项目团队将分析学生和系级的数据，并跟踪学生一段时间的情况。该项目团队预计，这项分析的结果将确定帮助所有背景的学生坚持计算的方法。该项目旨在了解支持或阻碍学生坚持计算机职业生涯轨迹的部门做法。通过这样做，该项目有可能帮助扩大计算机领域的参与努力，进而扩大到所有科技、经济和经济领域。该项目计划通过协商和讲习班支持计算机部门，并鼓励计算机环境中的社会和文化变革。该项目希望通过一个已建立的网站传播循证最佳做法，该网站致力于传播计算机科学教学技巧，向各系、媒体、研讨会和学术场所提供定制报告。该项目有可能通过干预式咨询和研讨会刺激计算机教育界的社会和文化变革，并传播通过该项目开发的研究建立的循证最佳做法。系级数据将通过三种机制收集：教员调查、教员访谈和系网站数据。将从数据中获得代表计算机界内教育做法的部级特征。对计算机系教职员工和系主任一对一会议和研讨会的分析将衡量系文化的优势和劣势。将通过CSTeachingTips倡议制定定制的可行战略。此外，还将从全美计算机系的学生那里收集全国性的纵向调查数据。这些数据将跟踪随着时间的推移而变化的体验，并确定学生的坚持性和部门实践之间的潜在联系。这些数据将代表不同人口统计群体在计算职业道路上的学习经验和坚持不懈。数据收集基础设施和CSTeachingTips的结合有可能导致一个有影响力的纵向研究计划。项目团队将与一个咨询委员会合作，将研究成果转化为计算机部门的一套最佳实践，重点是准备和留住广泛、多样化的学生群体，以便在计算机和STEM领域工作。该团队将通过团队在计算教育社区的领导者的专业网络、聚集关键利益相关者的会议、接触到STEM教育受众的其他相关学术场所以及可定制的报告和提示单来积极传播这些最佳实践。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 demand for a motivated and capable computing workforce continues to grow. However, efforts to address this demand continue to fall short of expectations. This project aims to provide potential solutions, based on scientific evidence, to address our nation's need to expand the computing talent pool. The project team will analyze student and department-level data, and track students over time. The project team expects that results of this analysis will identify ways to help students of all backgrounds persist in computing. The project aims to understand departmental practices that support or discourage students' persistence in computing career tracks. In doing so, this project has the potential to aid broadening participation efforts in computing, and by extension in all STEM fields. This project plans to support computing departments through consultations and workshops, and encourage social and cultural change within computing environments. The project expects to disseminate evidence-based best practices through an established website devoted to disseminating tips for teaching computer science, customized reports to departments, media outlets, workshops, and academic venues.This project has the potential to stimulate social and cultural change in the computing education community through intervention-style consultation and workshops, and the dissemination of evidence-based best practices built upon research developed through this project. Department-level data will be collected through three mechanisms: faculty surveys, faculty interviews, and department website data. Department-level characteristics representing education practices within the computing community will be obtained from the data. The analysis of one-on-one meetings and workshops for faculty and department chairs in computing will measure strengths and weaknesses of department cultures. Customized actionable strategies will be developed through the CSTeachingTips initiative. In addition, national, longitudinal survey data will be collected from students in computing departments across the United States. These data will track changing experiences over time and identify potential linkages between students' persistence and departmental practices. These data will represent various demographic groups' learning experiences and persistence in computing career paths. The combined data collection infrastructure and CSTeachingTips have the potential to result in an influential longitudinal research program. The project team will work with an advisory committee to translate research findings into a set of best practices for computing departments, with a focus on preparing and retaining a broad, diverse student population to work in computing and STEM fields. The team will actively disseminate those best practices through the team's professional network of leaders in the computing education community, conferences that bring together key stakeholders, other relevant academic venues that reach STEM education audiences, and customizable reports and tip sheets.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.