Analyzing the Impact of Digital Behavior on University Students’ Academic Achievement

Abstract

Academic performance in higher education is influenced by more than just cognitive abilities - it is shaped by a wide array of lifestyle and behavioral factors. This study investigates the correlation between university students’ digital behavior and their academic outcomes using a simulated dataset of 1,000 students sourced from Kaggle. Key lifestyle variables analyzed include study hours, sleep duration, social media use, exercise frequency, mental health indicators, and more. Through a quantitative descriptive approach using Pearson’s correlation coefficient, the research identifies study hours as having the strongest positive correlation with exam performance, while other factors show weaker correlations. The findings emphasize the importance of fostering healthy routines and balanced lifestyles to support academic achievement. Recommendations are made for educational institutions to integrate wellness programs, time management training, and behavioral awareness initiatives into student support strategies. This research provides evidence-based insights to enhance both student success and institutional practices