The Impact of Generative Pre-trained Transformer and Large Language Models on Students’ Academic Performance

This study combines machine learning and statistical analysis to identify key LLM usage behaviors associated with students’ perceived academic improvement. Random Forest achieved 82.6% accuracy and an F1-score of 0.895, while the findings highlight the importance of responsible and critical LLM use.