利用数据加强决策:2025年毕业倡议

S. McMahan, Muriel C. Lopez-Wagner
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引用次数: 0

摘要

加州州立大学于2015年1月启动了2025年毕业计划,明确目标是提高23个校区47.5万名学生的毕业率。《2025年毕业倡议》将在未来十年内为加州增加10万名受过学士学位教育的公民,并开始满足劳动力需求。提高毕业率,尤其是第一代学生的毕业率,需要一种战略性的、数据驱动的方法。加州州立大学圣贝纳迪诺分校(CSUSB)面临着特殊的挑战,因为81%的本科生是第一代大学生,63%的人获得佩尔助学金,56%的一年级新生需要某种形式的英语、数学或两者兼而有之的发展课程。必须使用数据驱动的决策来集中精力进行毕业努力。CSUSB组织了有关大学入学准备的数据,而入学准备的特征对获得学位的时间有直接影响。在检查毕业率时,追踪学位的持续性和进展数据也很重要,因为这有助于确定需要改进的领域。最后,完成和毕业后的数据是跟踪举措进展和满足劳动力需求的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Data To Enhance Decision Making: Graduation Initiative 2025
The California State University launched its Graduation Initiative 2025 in January 2015 with a clear goal to increase graduation rates for our 475,000 students across all 23 campuses.  The Graduation Initiative 2025 will add 100,000 more baccalaureate degree-educated citizens to California over the next ten years and begin to meet workforce demands. Increasing graduation rates, particularly for first-generation students, requires a strategic, data-driven approach. California State University, San Bernardino (CSUSB) faces particular challenges as 81% of our undergraduate population are first-generation college students, 63% receive Pell Grant, and 56% of incoming first-year students require some form of developmental coursework in English, math, or both.  Data-driven decision-making must be used to focus graduation efforts.  CSUSB organizes data regarding college readiness, and enrollment characteristics as preparedness have a direct influence on time to degree.  Data on persistence and progress towards the degree are also important to track when examining graduation rates as it helps identify areas to improve.  Finally, data on completion and post-graduation are indicators to track the progress of the initiative and meeting workforce demands. 
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