Personalizing learning paths: a study of adaptive learning algorithms and their effects on student outcomes

HIGHLIGHTS

• What: This study seeks to address this gap by examining how adaptive learning algorithms can personalize learning paths and improve academic performance. The research aims to explore the correlation between the implementation of these algorithms and student engagement retention and success rates. This study seeks to contribute to this understanding by exploring how these systems impact student outcomes, offering data-driven recommendations for enhancing personalized learning approaches. Inferential statistical analysis was conducted to determine the significance of the observed differences between the adaptive and traditional learning groups.
• Who: Personal from the Akademi Maritim Pembangunan Jakarta . . .
  

   

  

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