Predicting student self-efficacy in Muslim societies using machine learning algorithms.

Journal: Frontiers in big data
Published Date: Dec 13, 2024

Abstract

INTRODUCTION: Self-efficacy is a critical determinant of students' academic success and overall life outcomes. Despite its recognized importance, research on predictors of self-efficacy using machine learning models remains limited, particularly within Muslim societies. This study addresses this gap by leveraging advanced machine learning techniques to analyze key factors influencing students' self-efficacy.

Authors

  • Mohammed Ba-Aoum
    Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.
  • Mohammed Alrezq
    Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.
  • Jyotishka Datta
    Department of Statistics, Virginia Tech, Blacksburg, VA, United States.
  • Konstantinos P Triantis
    Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.

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