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Real-time motivation and engagement during a month at school: every moment of every day for every student matters

  • Andrew J. Martin
  • , Brad Papworth
  • , Paul Ginns
  • , Lars Erik Malmberg
  • , Rebecca J. Collie
  • , Rafael A. Calvo

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This study collected intensive intra-individual real-time longitudinal motivation and engagement data using mobile electronic devices for one month. A four-level model consisted of within-day ratings at the first level (3 ratings per day), between-day ratings at the second level (5. days per week), between-week ratings at the third level (4. weeks), and between-student ratings at the fourth level (60 possible time points per student). After controlling for socio-demographics and prior achievement, multilevel modeling showed substantial within-day (intra-individual) variability in motivation and engagement (M. =. 23%) and substantial between-student variability (M. =. 67%). There was not so much variability between days (M. =. 3%) - and not so much between weeks (M. =. 6%). Linear and non-linear (quadratic) effects through the day, week, and month were predominantly non-significant. It is concluded that for optimal motivation and engagement to occur and be sustained, every moment of every day for every student matters.

Original languageEnglish
Pages (from-to)26-35
Number of pages10
JournalLearning and Individual Differences
Volume38
DOIs
Publication statusPublished - Feb 2015
Externally publishedYes

Keywords

  • Engagement
  • Experience sampling
  • Longitudinal
  • Motivation
  • Multilevel
  • Real-time

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