Investigating Factors Influencing Students' Intention to Dropout Computer Science Studies
Investigating Factors Influencing Students' Intention to Dropout Computer Science Studies
复制标题
调查影响学生辍学计算机科学研究的因素
DOI：
10.1145/2899415.2899455
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. L. Jaccheri
中科院分区：
文献类型：
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作者：
I. Pappas;M. Giannakos;M. L. Jaccheri
在计算机科学（CS）教育领域的研究，重点是确定学生不完成CS学业的原因。尽管对计算机专业人员的需求不断增加，但没有足够的知识来解释计算机教育的高辍学率。本研究旨在实证检验在高等教育中起关键作用的变量如何影响学生在CS中完成学业（保持）的意图。通过确定哪些变量导致CS研究中的辍学，我们将能够专注于如何改善与它们相关的方面，以降低辍学率。要做到这一点，我们确定了以下变量：研究年，性别，年龄，学生的努力，从类缺席，预期平均成绩（GPA），和当前GPA，并测试其对保留的影响，从241 CS学生收集的响应的基础上。学习年限和努力程度对学生完成中文学业的意愿有显著的正向影响。有趣的是，预期GPA对学生完成学业的意愿有负面影响。这些发现有助于理论和实践，因为它们为CS教育工作者和政策制定者提供了见解，可能有助于提高学生的保留率和降低辍学率。
Research in the area of Computer Science (CS) education, has focused on identifying the reasons that students do not finish their studies in CS. Although there is increasing demand for CS professionals, there is not enough knowledge to explain the high dropout rates in CS education. This study aims to empirically examine how students' intention to complete their studies (retention) in CS is affected by variables playing a key role in higher education. By identifying which variables contribute to dropout in CS studies, we will be able to focus on how to improve aspects related with them in order to reduce dropout rates. To do so we identified the following variables: Year of studies, Gender, Age, Students' Effort, Absence from Classes, Expected Grade point average (GPA), and Current GPA, and tested their effect on retention, based on the responses collected from 241 CS student. Year of studies and Effort have positive effects on students' intention to finish their studies in CS. Interestingly, the expected GPA has a negative effect on students' intentions to finish their studies. The findings contribute to theory and practice, as they offer CS educators and policy makers insights that may aid towards increased student retention and reduced dropout rates.