Breaking free from the “digital rabbit hole”: A configurational analysis of in-class smartphone distraction among university students

Yujie Zhou*, Liping Deng

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Smartphone distraction is pervasive in university classrooms, yet our understanding of its determinants remains incomplete. Drawing on complexity theory and the technology–personal–environment framework, this study employs multiple data sets for exploring the primary predictors and their configurations in determining in-class smartphone distraction among university students. Based on the interview data from 15 undergraduate students, seven primary predictors of smartphone distraction were identified. Subsequently, the study delved into the questionnaire data collected from 563 Chinese university students and revealed four combinations of the predictors for in-class smartphone distraction through fuzzy-set qualitative comparative analysis. This study con- tributes to the literature on in-class smartphone distraction by revealing its complex nature and offering practical strategies for educational practitioners to counteract the adverse effects of smartphone distraction in university classrooms.
Original languageEnglish
Article number100949
Number of pages13
JournalInternet and Higher Education
Volume62
Early online date15 Apr 2024
DOIs
Publication statusPublished - Jun 2024

Scopus Subject Areas

  • Education
  • Computer Science Applications
  • Computer Networks and Communications

User-Defined Keywords

  • fsQCA
  • In-class smartphone distraction
  • Predictors
  • Semi-structured interview
  • University students

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