Bjerre-Nielsen Andreas, Andersen Asger, Minor Kelton, Lassen David Dreyer
Copenhagen Center for Social Data Science, University of Copenhagen.
Department of Economics, University of Copenhagen.
Psychol Sci. 2020 Nov;31(11):1351-1362. doi: 10.1177/0956797620956613. Epub 2020 Oct 6.
In this study, we monitored 470 university students' smartphone usage continuously over 2 years to assess the relationship between in-class smartphone use and academic performance. We used a novel data set in which smartphone use and grades were recorded across multiple courses, allowing us to examine this relationship at the student level and the student-in-course level. In accordance with the existing literature, our results showed that students' in-class smartphone use was negatively associated with their grades, even when we controlled for a broad range of observed student characteristics. However, the magnitude of the association decreased substantially in a fixed-effects model, which leveraged the panel structure of the data to control for all stable student and course characteristics, including those not observed by researchers. This suggests that the size of the effect of smartphone usage on academic performance has been overestimated in studies that controlled for only observed student characteristics.
在本研究中,我们对470名大学生的智能手机使用情况进行了为期两年的持续监测,以评估课堂上使用智能手机与学业成绩之间的关系。我们使用了一个新颖的数据集,其中记录了多门课程中的智能手机使用情况和成绩,这使我们能够在学生层面和学生-课程层面检验这种关系。与现有文献一致,我们的结果表明,即使在我们控制了一系列广泛观察到的学生特征后,学生在课堂上使用智能手机仍与他们的成绩呈负相关。然而,在固定效应模型中,这种关联的程度大幅下降,该模型利用数据的面板结构来控制所有稳定的学生和课程特征,包括研究人员未观察到的特征。这表明,在仅控制观察到的学生特征的研究中,智能手机使用对学业成绩的影响大小被高估了。