In recent years, virtual learning has emerged as an alternative to traditional classroom teaching. The engagement of students in virtual learning can have a major impact on meeting learning objectives and program dropout risks. There exist many measurement instruments specifically geared to Student Engagement (SE) in virtual learning environments. In this critical review, we analyze these works and highlight inconsistencies in terms of differing engagement definitions and measurement scales. This diversity among existing researchers could potentially be problematic in comparing different annotations and building generalizable predictive models. We further discuss issues in terms of engagement annotations and design flaws. We analyze the existing SE annotation scales based on our defined seven dimensions of engagement annotation, including sources, data modalities used for annotation, the time when the annotation takes place, the timesteps in which the annotation takes place, level of abstraction, combination, and quantification. One of the surprising findings was that very few of the reviewed datasets on SE measurement used existing psychometrically validated engagement scales in their annotation. Lastly, we discuss some other scales in settings other than virtual learning that have the potential to be used in measuring SE in virtual learning.
翻译:近年来,虚拟学习已成为传统课堂教学的一种替代方法。学生参与虚拟学习可对实现学习目标和方案辍学风险产生重大影响。在虚拟学习环境中,存在许多专门针对学生参与的计量工具。在这个批判性审查中,我们分析这些作品,并突出不同参与定义和计量尺度的不一致之处。现有研究人员之间的这种多样性在比较不同说明和建立可概括化的预测模型方面可能会产生问题。我们进一步讨论了参与说明和设计缺陷方面的问题。我们根据我们界定的参与说明的七个方面,分析了现有的SE批注尺度,包括资料来源、用于批注的数据模式、作批注的时间、批注的时间、进行批注的时间、抽象程度、组合和量化。一个令人惊讶的调查结果是,经审核的SE计量数据集很少在批注中使用现有的经精神测定验证的参与尺度。最后,我们讨论了除虚拟学习外在虚拟学习中可能用于计量SE虚拟学习的其他环境中的其他尺度。