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Florida International University Triples Graduation Rates by Aiding At-Risk Students
技术
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 教育
适用功能
- 人力资源
- 商业运营
服务
- 数据科学服务
挑战
佛罗里达国际大学 (FIU) 是一所排名前 50 的公立大学,拥有超过 58,000 名学生和 260,000 名 Panther 校友。这些学生中有许多来自低收入地区,或者可能是第一代上大学的人。该大学采取积极主动的方法来留住学生,这取决于发现问题迹象。然而,FIU 以前使用的建模工具产生的结果不准确,并且需要大量的手动输入。这些现成的解决方案并没有针对其机构的细微差别进行量身定制,它们会标记实际上没有风险的学生。
关于客户
佛罗里达国际大学是一所排名前 50 的公立大学,为迈阿密和全球培养真正的人才和创新人才。在 FIU,高研究活动和高社会流动性相结合,提升并加速了全球城市学习者在环境、健康、创新和正义领域的成功。如今,FIU 拥有两个校区和多个中心。FIU 拥有超过 58,000 名学生和 260,000 名 Panther 校友。《美国新闻与世界报道》将 FIU 的数十个课程列为全美最佳课程,其中国际商务课程位列第二。《华盛顿月刊》将 FIU 列为对公共利益贡献最大的 20 所公立大学之一。
解决方案
FIU 转向 DataRobot 基于云的增强智能和 ML 平台,以缩短建模时间、实现更多定制预测并降低成本(与本地选项相比)。该大学将许多变量纳入模型,以确定帮助学生的机会,从获得的学分数到成绩再到财务挑战。战略数据分析助理主任 Paden Goldsmith 在 DataRobot 数据科学专家的帮助下不断评估哪些数据将有助于预测学生的成功。然后,大学采取措施帮助学生留在学校,从辅导到成功指导再到寻找经济援助解决方案。
运营影响
数量效益
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