Unravelling the use and sequence of regulated learning in online collaborative learning: A pilot study.

Introduction: Effective online collaborative learning goes beyond completing a task. Regulating individual and group-shared learning processes is essential for success in online collaborative learning. This study had the aim of identifying how medical students use and sequence their regulation of le...

Descripción completa

Detalles Bibliográficos
Publicado en:Medical Teacher Vol. 48; no. 5; pp. 855 - 866
Autores principales: Ashrafifard, Houra, Khajavirad, Nasim, Kashani, Homa, Sandars, John, Gandomkar, Roghayeh
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd May2026
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193123985&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 193123985
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        0142159X
        MCH
      jtl: Medical Teacher
      issn: 0142159X
      maglogo: Y
    pubinfo:
      dt: May2026
      vid: 48
      iid: 5
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        193123985
        190316153
        193123985
        193123985
        10.1080/0142159X.2025.2597524
        193123985
      ppf: 855
      ppct: 11
      formats:
      tig:
        atl: Unravelling the use and sequence of regulated learning in online collaborative learning: A pilot study.
      aug:
        au:
          Ashrafifard, Houra
          Khajavirad, Nasim
          Kashani, Homa
          Sandars, John
          Gandomkar, Roghayeh
        affil: Department of Medical Education, school of Medicine, Tehran University of Medical Sciences, Tehran, Iran
      sug:
        subj:
          Collaboration
          Learning Methods Utilization
          Online Education
          Students, Medical
          Task Performance and Analysis
          Human
          Nonexperimental Studies
          Pilot Studies
          Discussion
          Group Processes
          Cognition
          Emotions
          Self Regulation
          Prescribing Patterns
          Self-Directed Learning
          Motivation
          Student Orientation
          Students, Undergraduate
          Descriptive Statistics
          Funding Source
      ab: Introduction: Effective online collaborative learning goes beyond completing a task. Regulating individual and group-shared learning processes is essential for success in online collaborative learning. This study had the aim of identifying how medical students use and sequence their regulation of learning during an online collaborative learning task. Methods: This study employed lag sequential analysis to examine sequential patterns of regulated learning. 68 year 4 medical students were divided into 6 groups of 11 to 12 and worked on an online prescribing scenario. Group discussions were recorded, transcribed and coded using a specifically developed coding scheme. Lag sequential analysis was then applied to identify the sequences through which different types and processes of regulated learning unfolded during the collaborative task. Results: Sequential analysis showed that medical students frequently used co-regulated learning and socially shared-regulated learning in a cyclical approach. Monitoring facilitated important metacognitive and cognitive processes and also there was an association between planning and orientation processes with positive emotions. Conclusion: The findings have implications for the design of effective online collaborative learning, such as incorporating monitoring prompts, fostering positive atmosphere in groups and providing consecutive tasks to stimulate reflection.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N