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学生和教师在COVID-19封锁期间的表现:使用多个数据源对相关特征和复杂交互的调查

Sine Zambach¹, Jens Ulrik Hansen²

¹Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark.

|October 25, 2023

概括

这项研究分析了COVID-19封锁期间影响在线教学的因素. 教师和学生的年龄,同行互动和时间使用显著影响学生的评估和成绩,平均值产生最佳结果.

科学领域:

教育教育教育教育教育教育.
高等教育高等教育
教育技术的教育技术

背景情况:

由于COVID-19的流行,我们需要迅速转向在线教学和学习.
了解支持有效在线教育的因素对于未来的准备至关重要.
该研究解决了在紧急远程教学环境中分析变量的复杂相互作用的需要.

研究的目的:

在COVID-19封锁期间调查影响学生对教学和最终成绩评估的因素.
确定各种因素和教学成果之间的线性和非线性关系.
确定影响在线环境中学生成绩的不同特征的重要性和相互作用.

主要方法:

利用来自丹麦一所大型大学的行政和调查数据.
采用线性回归和随机森林模型来分析依赖目标 (学生评估分数和最终成绩).
确定了特征的重要性,线性/非线性关系和相互作用.

主要成果:

教师的年龄,时间使用,同行互动和学生的性别与学生的评估和成绩有关.
观察到非线性关系,特别是关于教师和学生的年龄.
教师和学生年龄的平均值与学生评估和成绩中的最高分相关.

结论:

各种人口和教学因素显著影响在线教学的有效性和学生的成绩.
这些发现强调了在教育研究中考虑非线性效应和特定特征相互作用的重要性.
最佳的教学支持策略可能包括考虑年龄等因素的平均值,以最大限度地提高学生的参与度和学业成功.

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