Bernardo Ana, Cervero Antonio, Esteban María, Tuero Ellian, Casanova Joana R, Almeida Leandro S
Facultad de Psicología, Universidad de OviedoOviedo, Spain.
Centro de Investigação em Educação (CIEd), Universidade do MinhoBraga, Portugal.
Front Psychol. 2017 Sep 21;8:1544. doi: 10.3389/fpsyg.2017.01544. eCollection 2017.
University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in the future. However, most research papers currently focus primarily on the characteristics of students who leave university, rather than on those who choose to pursue alternative courses of study and therefore fail to take into account the different kinds of abandonment. The aim of this paper is to identify the different types of dropout to define their characteristics and propose some recommendations. Thus, an study was carried out on a sample of 1,311 freshmen from a university in the north of Spain using data gathered using an designed questionnaire, applied by telephone or an online survey, and completed with data available in the university data warehouse. A descriptive analysis was performed to characterize the sample and identify five different groups, including 1. Students persisting in their initiated degree 2. Students who change of program (within the same university) 3. Students transferring to a different university 4. Students enrolling in non-higher-education studies 5. Students that quit studying. Also, data mining techniques (decision trees) were applied to classify the cases and generate predictive models to aid in the design of differentiated intervention strategies for each of the corresponding groups.
大学课程辍学是一个不仅对退学学生而且对发生退学情况的院校都有重要影响的问题。因此,高等教育机构必须更深入地研究这个问题,以便在未来制定适当的预防措施。然而,目前大多数研究论文主要关注退学学生的特征,而不是那些选择修读其他课程从而未能考虑到不同类型退学情况的学生。本文的目的是识别不同类型的退学情况,定义其特征并提出一些建议。因此,我们对西班牙北部一所大学的1311名新生样本进行了研究,使用通过电话或在线调查应用的设计问卷收集的数据,并结合大学数据仓库中的可用数据完成。进行了描述性分析以描述样本特征并识别五个不同的群体,包括:1. 坚持攻读初始学位的学生;2. (在同一所大学内)更换专业的学生;3. 转学到另一所大学的学生;4. 注册非高等教育学习的学生;5. 放弃学习的学生。此外,应用数据挖掘技术(决策树)对案例进行分类并生成预测模型,以帮助为每个相应群体设计差异化的干预策略。