Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course

HIGHLIGHTS

• who: ufeffJerry Chih-Yuanufeff ufeffSunufeff et al. from the University of Navarra, Spain have published the article: Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course, in the Journal: (JOURNAL)
• what: This study focused on analyzing the temporal order of SRL behaviors. The aim of this study is therefore threefold: identifying student subgroups according to traces of online SRL behaviors; examining the student subgroup differences in learning performance, CL, and SE; and_(3) articulating and comparing behavior . . .
  

   

  

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