Skip to main navigation Skip to search Skip to main content

Matching self-reports with electrodermal activity data: Investigating temporal changes in self-regulated learning

  • Muhterem Dindar*
  • , Jonna Malmberg
  • , Sanna Jaervelae
  • , Eetu Haataja
  • , Paul A. Kirschner
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    12   Link opens in a new tab Citations (Web of Science)

    Abstract

    This study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of self-regulated learning processes during 15 sessions of collaborative learning activities. Our findings revealed that the changes in motivational regulation was related to academic achievement. However, academic achievement was not related to behavioral regulation, cognitive regulation or emotional regulation. Physiological synchrony among the collaborating students was found to be related only to cognitive regulation. The results also showed that the concordance of self-report data among the collaborating students was related to higher physiological synchrony among them in the behavioral, cognitive, and motivational dimensions of self-regulated learning. The findings reflect the complexity of the relationships between self-regulated learning constructs and demonstrates the potential value of physiological measures in self-regulated learning research.
    Original languageEnglish
    Pages (from-to)1785-1802
    Number of pages18
    JournalEducation and Information Technologies
    Volume25
    Issue number3
    Early online date22 Nov 2019
    DOIs
    Publication statusPublished - May 2020

    Keywords

    • ACHIEVEMENT
    • BEHAVIORAL-REGULATION
    • CONCEPTUAL-FRAMEWORK
    • Computer-supported collaborative learning
    • EMOTIONS
    • EXPERIENCES
    • MOTIVATION
    • Multimodal data
    • PERFORMANCE
    • PHYSIOLOGICAL COMPLIANCE
    • Physiological synchrony
    • SOCIALLY SHARED REGULATION
    • STUDENT
    • Self-regulated learning

    Fingerprint

    Dive into the research topics of 'Matching self-reports with electrodermal activity data: Investigating temporal changes in self-regulated learning'. Together they form a unique fingerprint.

    Cite this