Collaborative Research: A Data-Driven Employer-Academia Partnership for Continual Computing Curricular Change

协作研究：数据驱动的雇主-学术界合作伙伴关系，以实现持续的计算课程变革

• 批准号: 2110823
• 负责人: Mihaela Sabin
• 金额: $ 10.18万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110823&HistoricalAwards=false
• 关键词: Collaborative; Research; Data; Driven; Employer

This project aims to serve the national interest by improving the supply of well-prepared computer science professionals capable of addressing the needs of American employers in the public and private sectors. This project intends to build a national partnership between employers and academia to help identify and mitigate gaps between the competencies of computing graduates and the expectations of potential employers. The project will survey computer science educators and practitioners to develop a model that defines the competencies expected by potential employers. The project team then plans to test the model at three institutions of higher education in Alabama – the University of Alabama, Tuscaloosa, Tuskegee University, and Shelton State Community College. Finally, the project team intends to develop tools and methods for institutions to identify and implement competency-based educational approaches for computer science across the nation. The project plans to use three interconnected strands of evidence-based activities to institute transformational change in the involved communities. First, a national strand will engage U.S. faculty in developing competency-based curricula informed by industry practitioner feedback. Second, a local pilot strand intends to create transformative curricular change based on student competencies using an evidence-based change model in the three Alabama institutions. Sociologists and computing faculty on the team will help to understand, predict, and reduce barriers to competency-based employment of computing graduates from marginalized communities in the heart of the impoverished Alabama Black Belt. The unique perspective relative to diversity, equity, and inclusion needs should serve as a model for other computing departments. The third strand will develop competency-based surveys for practitioners and academics to identify and refine specific competencies that are hoped to drive continual curricular change. Outcomes, including the change process, national workshops, and experiences from the local process will help with transferability in the computing education community. In addition to informing curricula, the project will provide valuable data for educational researchers to help close the gap between employers and higher education. Finally, as the competency approach to curricular design is relatively new in computing and engineering disciplines, lessons from this project will have the potential to transform curricular review and design in other STEM disciplines. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities.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.

该项目旨在通过改善能够满足公共和私营部门美国雇主需求的准备充分的计算机科学专业人员的供应来服务于国家利益。 该项目旨在建立雇主和学术界之间的国家伙伴关系，以帮助确定和缩小计算机毕业生的能力和潜在雇主的期望之间的差距。 该项目将调查计算机科学教育工作者和从业人员，以开发一个模型，定义潜在雇主所期望的能力。 然后，项目团队计划在亚拉巴马的三所高等教育机构测试该模型--亚拉巴马大学、塔斯卡卢萨大学、塔斯基吉大学和谢尔顿州立社区学院。 最后，项目组打算为机构开发工具和方法，以确定和实施全国计算机科学基于能力的教育方法。 该项目计划利用三个相互关联的循证活动，在有关社区实现转型变革。 首先，一个全国性的分支机构将让美国的教师参与开发基于能力的课程，这些课程是根据行业从业者的反馈制定的。 其次，当地的试点链打算创建基于学生能力的变革课程的变化，在三个亚拉巴马机构使用基于证据的变化模型。 该团队的社会学家和计算机教师将帮助理解，预测和减少来自贫困的亚拉巴马黑带中心边缘化社区的计算机毕业生基于能力的就业障碍。 相对于多样性，公平性和包容性需求的独特视角应该成为其他计算部门的典范。 第三部分将为从业人员和学者开展基于能力的调查，以确定和完善希望推动持续课程改革的具体能力。 结果，包括变革过程，国家讲习班，并从当地的过程中的经验将有助于在计算教育界的可移植性。 除了为课程提供信息外，该项目还将为教育研究人员提供宝贵的数据，以帮助缩小雇主与高等教育之间的差距。 最后，由于课程设计的能力方法在计算和工程学科中相对较新，因此该项目的经验教训将有可能改变其他STEM学科的课程审查和设计。 NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生STEM教育的有效性。 通过机构和社区转型的轨道，该计划支持的努力，以改变和改善高等教育机构和学科社区的STEM教育.这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估支持.