自动化新生分班注册,节省350小时人力
Automating Freshman Course Placement and Registration: A Case Study
- 整合Banner与谷歌表单数据,批量智能分班注册
- 处理超3500名新生,年省350+小时人工时间
- 适合面临招生增长的高校借鉴落地
本文报告了罗文大学为应对十年间首次入学学生人数增长57%而推动的新生课程分班与注册自动化项目。传统上,新生指导手册(FIGS)依赖测试中心、学业指导与教务处人工评估,耗时巨大。为此,跨部门团队构建自动化系统,集成Banner(学生信息系统)、指导办公室维护的Google Sheets及其他数据源。该系统基于专业方向分类学生,确定主修与辅修课程,实时检查Banner中的课程可容纳人数与约束条件,并批量完成注册。系统已成功处理超过3500名新生,每年节省超350小时人工工时,显著降低人为错误风险,使工作人员从行政事务转向战略指导。报告详述了实施背景、架构设计、技术整合、评估方法、经验教训及对类似高校的实践启示。
原文摘要 · Abstract (English)
This implementation report explores Rowan University's effort to automate the process of freshman course placement and registration. Historically, Freshman Instructional Guides (FIGS) at Rowan was manually executed, requiring significant time from Testing Services, University Advising, and the Registrar's Office to evaluate placement needs and assign students to courses. Given the 57% surge in first-time degree-seeking student enrollment over a decade, the manual processes became increasingly unsustainable. In response, a cross-departmental team developed a comprehensive automated process to integrate data from Banner (Student Information System), Google Sheets maintained by Advising, and other sources. This automated process classifies students based on program groupings, determines primary and secondary course placements, checks for real-time availability and constraints in Banner, and completes course registration for freshmen in bulk. The resulting system processed over 3500 incoming students with over 350 hours in annual time savings, reduced the potential for human error, and enabled staff to shift focus from administrative work to strategic advising. This report outlines the implementation context, design architecture, technical integration, assessment methods, lessons learned, and practical implications for institutions with similar challenges.
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