利用数据分析工具监测学生入学活动

IF 0.2 Q4 EDUCATION & EDUCATIONAL RESEARCH Mathematics and Informatics Pub Date : 2022-10-28 DOI:10.53656/math2022-5-5-mon
S. Gaftandzhieva, R. Doneva, Milen Bliznakov
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引用次数: 0

摘要

新生市场竞争非常激烈。出于这个原因,高等教育机构(HEIs)不能再依靠传统的策略来实现招生目标。高等教育学院的领导层必须利用新的方法、工具和技能来优化招生流程,监督招生活动,改进营销策略,以吸引合适的学生参加未来的活动。本文提出了一个简化和优化这些过程的解决方案。它介绍了一个监测学生入学活动的模型和一个相应的软件工具StEnrAnalyst的原型,该模型是为不同利益相关者群体(高层和中层管理人员,负责学生入学活动的机构)的需求而设计的。StEnrAnalyst允许他们监控学生入学活动,为候选学生和入学学生生成报告,并及时做出数据驱动的决策,以改进申请和招收新生的过程。基于保加利亚一所典型大学的信息基础设施,对该模型和StEnrAnalyst进行了实验。
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Monitoring of Student Enrolment Campaign through Data Analytics Tools
The market for new students is highly competitive. For this reason, higher education institutions (HEIs) can no longer rely on traditional strategies to hit enrolment goals. HEIs leadership must leverage new approaches, tools and skills to optimize the enrolment process, monitor the student enrolment campaign and improve marketing strategies to attract suitable students for future campaigns. This paper proposes a solution that facilitates and optimizes these processes. It introduces a model for monitoring student enrolment campaigns and a prototype of a correspondent software tool StEnrAnalyst, designed for the needs of different stakeholder groups (top and middle management, responsible bodies for student enrolment campaigns). StEnrAnalyst allows them to monitor the student enrolment campaign, generate reports for candidate students and enrolled student and make timely data-driven decisions to improve the process of applying and enrolling new students. Experiments with the model and StEnrAnalyst are conducted based on the information infrastructure of a typical Bulgarian university.
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来源期刊
Mathematics and Informatics
Mathematics and Informatics EDUCATION & EDUCATIONAL RESEARCH-
自引率
50.00%
发文量
40
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