Applying data science to analyze and improve student learning outcomes in educational environments

HIGHLIGHTS

• What: Article history: This study explores the application to analyze and improve student learning outcomes within environments responding to the increasing demand for data-driven approaches in education. This research seeks to bridge this gap by examining how data science can transform raw data into strategic tools for academic improvement, thereby addressing the evolving needs of today`s educational institutions and stakeholders . The aim of this study is to leverage data science techniques, such as machine_learning and statistical modeling, to uncover patterns and correlations within academic data that influence student learning outcomes . This research explores the application . . .
  

   

  

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