The Impact of Artificial Intelligence and Machine Learning on Student Life
Abstract
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The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies into education has significantly reshaped student life, affecting various facets of academic and personal experiences. This study explores the positive and negative impacts of AI and ML on students, including academic performance, mental health, time management, and campus engagement. The research examines how AI-driven tools can personalize learning, optimize study routines, and offer mental health support, but also identifies challenges such as over-reliance on technology, privacy concerns, and algorithmic biases. Understanding the implications of these technologies is crucial for both students and educational institutions in shaping the future of education. The study highlights the transformative role of AI and ML, offering insights into how these technologies can be better utilized to enhance the student experience while addressing ethical and practical concerns.
Record information
- Authors
- Swapnil Ghodekar
- Publisher
- Elsevier BV
- DOI
- 10.2139/ssrn.5403734
Publication: