How CS1 Students Experienced COVID-19 In the Moment: Using An Experience Sampling Approach to Understand the Transition to Emergency Remote Instruction
How CS1 Students Experienced COVID-19 In the Moment: Using An Experience Sampling Approach to Understand the Transition to Emergency Remote Instruction
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DOI：
10.1145/3408877.3439657
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
A. Lishinski;Joshua Rosenberg;Michael Mann;Omiya Sultana;Joshua Dunn
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文献类型：
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作者：
A. Lishinski;Joshua Rosenberg;Michael Mann;Omiya Sultana;Joshua Dunn
虽然计算机科学 (CS) 教育研究人员经常研究课程、学习项目或一般职业中发生的情况，但他们很少关注激发学生对 CS 兴趣的更细粒度的体验。研究这些类型的学生体验的一种绝佳方法是体验抽样方法 (ESM)。 ESM 涉及比传统调查研究更频繁地收集个人经历数据。 ESM 的这一方面使其非常适合检查学生经历的特定时间方面，以及由于 COVID-19 的破坏性影响而发生的变化。
While computer science (CS) education researchers have frequently examined what happens in courses, programs of study, or occupations in general, they have less frequently addressed finer-grained experiences that spark students' interest in CS. One excellent way to study these types of student experiences is the Experience Sampling Method (ESM). ESM involves collecting data on individuals' experiences at much more frequent intervals than traditional survey research. This aspect of ESM makes it well-suited to examine time-specific aspects of students' experiences, as well as changes due to the disruptive effects of COVID-19.