Predicting student performance in a blended learning environment using learning management system interaction data

HIGHLIGHTS

• who: Boosting ensemble technique et al. from the College of Engineering and Science, Victoria University, Melbourne, Australia have published the article: Predicting student performance in a blended learning environment using learning management system interaction data, in the Journal: (JOURNAL)
• what: The authors investigate how the application of existing ML techniques can more accurately and rapidly identify at-risk students. The authors consider the final result of a student to be the nominal variable on which basis the authors assess a student's study performance.
• future: Future research might be considered using enhanced datasets . . .
  

   

  

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