在紧急远程编程课程中对动机的集群和轨迹分析
Andres Jahr1, Javiera Meza1, Jorge Munoz-Gama1
1Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile.
PeerJ. Computer science
|January 23, 2024
概括
紧急远程教学课程的学生表现出不同的动机概况. 令人惊的是,尽管COVID-19的担忧较高,但最适应的学生在疫情期间保持了强大的动力.
科学领域:
- 教育教育教育教育教育教育.
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- 由于COVID-19的流行,需要迅速转向紧急远程教学 (ERT).
- 了解学生的动机对于有效的ERT至关重要,特别是在编程等STEM领域.
- 在全球卫生危机期间对ERT动机的先前研究是有限的.
研究的目的:
- 在ERT的一学期内,分析大学编程课程中的学生动机概况.
- 调查整个学期学生动机的演变.
- 确定COVID-19关注对学生动机的影响.
主要方法:
- 采用了调查方法,大学生在编程课程中接受了三次调查.
- 数据收集的重点是学生的动力和与COVID-19大流行相关的担忧.
- 隐藏的个人资料分析被用来识别不同的学生动机集群.
主要成果:
- 出现了三个不同的学生动机概况:最适应性,最不适应性和中等.
- 最适应型的个人资料表现出高度的动机和准备,但也表现出最高的COVID-19担忧.
- 最不适应的个人资料显示出动机和准备能力较低,反映出最适应的群体与流行病的担忧相反.
结论:
- 在ERT中学生的动机是复杂的,不仅仅是由流行病焦虑决定的.
- 最有弹性的学生可能是那些能够管理高外部压力因素的人,比如COVID-19的担忧,同时保持学术动力.
- 考虑到学术和心理因素的定制支持策略对于ERT的成功至关重要.
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