Analysis and Prediction of Digital Distractions’ Impact on Academic Performance in Online Learning Using Machine Learning

This study combines survey-based behavioral analysis with supervised machine learning to predict the perceived academic impact of digital distractions and compares four classification models to identify the best-performing approach.