Literature DB >> 33021885

The Negative Effect of Smartphone Use on Academic Performance May Be Overestimated: Evidence From a 2-Year Panel Study.

Andreas Bjerre-Nielsen1,2, Asger Andersen1, Kelton Minor1, David Dreyer Lassen1,2,3.   

Abstract

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.

Keywords:  academic performance; attention; distraction; in-class concentration; mobile devices; multitasking; open materials; productivity

Year:  2020        PMID: 33021885     DOI: 10.1177/0956797620956613

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  4 in total

1.  A Nudge-Based Intervention to Reduce Problematic Smartphone Use: Randomised Controlled Trial.

Authors:  Jay A Olson; Dasha A Sandra; Denis Chmoulevitch; Amir Raz; Samuel P L Veissière
Journal:  Int J Ment Health Addict       Date:  2022-05-17       Impact factor: 11.555

2.  How bad is the mere presence of a phone? A replication of Przybylski and Weinstein (2013) and an extension to creativity.

Authors:  Claire Linares; Anne-Laure Sellier
Journal:  PLoS One       Date:  2021-06-09       Impact factor: 3.240

3.  Task-specific information outperforms surveillance-style big data in predictive analytics.

Authors:  Andreas Bjerre-Nielsen; Valentin Kassarnig; David Dreyer Lassen; Sune Lehmann
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-06       Impact factor: 11.205

4.  Personal Profiles, Family Environment, Patterns of Smartphone Use, Nomophobia, and Smartphone Addiction across Low, Average, and High Perceived Academic Performance Levels among High School Students in the Philippines.

Authors:  Danilo B Buctot; Nami Kim; Sun-Hee Kim
Journal:  Int J Environ Res Public Health       Date:  2021-05-14       Impact factor: 3.390

  4 in total

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