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<lom:catalog>DOI</lom:catalog>

  
<lom:entry>
  
<lom:langstring xml:lang="x-none">10.1016/j.lindif.2025.102657</lom:langstring>

  
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</lom:identifier>

  
<lom:title>
  
<lom:langstring xml:lang="en">Self-regulated learning at the workplace: State, trait, or development?</lom:langstring>

  
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<lom:description>
  
<lom:langstring xml:lang="en">Background: Health sciences students often encounter challenges when they begin learning and practicing in the workplace. Various research approaches and interventions have been developed to facilitate self-regulated learning in this context. To determine the most effective approach, a thorough understanding of the stability and variability of self-regulated learning in the workplace is necessary. Aim: This study analyzed the stable trait, autoregressive trait, and time-varying state components of selfregulated learning in the workplace. Sample: The sample comprised 188 undergraduates who were learning at a medical workplace for the first time and rotating weekly between various settings. Methods: Undergraduates completed a diary on 37 aspects of self-regulated learning for a duration of 10 weeks. Data were analyzed using STARTS models. Results: The aggregate results showed that 28 % of the total variance in self-regulated learning in the workplace was accounted for by the stable trait component, 22 % by the autoregressive trait component, and 50 % by the time-varying state component. These component ratios vary across different areas (cognition, motivation, emotion, and context) and levels (learning process level and metalevel) of self-regulated learning. Conclusions: To enhance health sciences students&#39; self-regulated learning in the workplace, it is recommended to focus on research and interventions to provide situation-specific supportive framework conditions while acknowledging individual differences and considering phase-specific interventions. Further research is required to determine whether these findings can be applied to other rotational intervals and subject areas.</lom:langstring>

  
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<lom:language>eng</lom:language>

  
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<lom:langstring xml:lang="en">Higher-Education</lom:langstring>

  
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<lom:langstring xml:lang="en">Students</lom:langstring>

  
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<lom:langstring xml:lang="en">Motivation</lom:langstring>

  
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<lom:langstring xml:lang="en">Intervention</lom:langstring>

  
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<lom:langstring xml:lang="en">Personality</lom:langstring>

  
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<lom:keyword>
  
<lom:langstring xml:lang="en">Transition</lom:langstring>

  
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<lom:keyword>
  
<lom:langstring xml:lang="en">Stability</lom:langstring>

  
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<lom:datetime>2025-04-17T07:54:36.758Z</lom:datetime>

  
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N:Steinberg;Evelyn;
FN:Evelyn Steinberg
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N:Marsch;Stephan;
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N:Yanagida;Takuya;
FN:Takuya Yanagida
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N:Dörrenbächer-Ulrich;Laura;
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N:Smith;Arowotosuna E.;
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N:Pfeiffer;Christopher;
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N:Bührle;Petra;
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N:Schwarz;Lukas;
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N:Auer;Ulrike;
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N:Perels;Franziska;
FN:Franziska Perels
X-ORCID:https://orcid.org/0000-0002-8594-1031
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