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Determining Graduation Rates in Engineering for Community College Transfer Students Using Data Mining

机译:使用数据挖掘确定社区大学转学生的工程专业毕业率

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This study presents a unique synthesized set of data for community college students entering the university with the intention of earning a degree in engineering. Several cohorts of longitudinal data were combined with transcript-level data from both the community college and the university to measure graduation rates in engineering. The emphasis of the study is to determine academic variables that had significant correlations with graduation in engineering, and levels of these academic variables. The article also examines the utility of data mining methods for understanding the academic variables related to achievement in science, technology, engineering, and mathematics. The practical purpose of each model is to develop a useful strategy for policy, based on success variables, that relates to the preparation and achievement of this important group of students as they move through the community college pathway.
机译:这项研究为社区大学的学生提供了一组独特的综合数据,目的是获得工程学学位。将几组纵向数据与社区学院和大学的成绩单数据相结合,以测量工程学的毕业率。该研究的重点是确定与工程学的毕业程度以及这些学术变量的水平具有显着相关性的学术变量。本文还探讨了数据挖掘方法在了解与科学,技术,工程和数学成就相关的学术变量方面的实用性。每个模型的实际目的是根据成功变量制定有用的政策策略,该策略与这一重要学生群体在社区大学学习过程中的准备和成就有关。

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