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September 10, 2025International Journal of Environmental Sciences

A Hybrid Machine Learning Framework For Analyzing The Impact Of Social Media On Students’ Academic Performance

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Authors

ATAmit Vilasrao TaleBPBhaskar Vijayrao Patil

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Overview

This analysis predicts academic performance and behavioral risks in students, highlighting the role of social media.

Key Points

  • The framework predicts academic success and identifies risks associated with social media usage.
  • Gradient Boosting achieved the highest accuracy of 99% in predicting outcomes across two stages.
  • This approach allows institutions to proactively support at-risk students through targeted strategies.
  • It offers a scalable and data-driven solution for promoting digital wellness in educational settings.

Cite This Study

Tale et al. (2025) studied this question.

synapsesocial.com/papers/68c23bd7b210217d64787464https://doi.org/10.64252/d6cnak80
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