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Stream/Area:
-
Subject:
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Paper ID:
IJSREM48537
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rise of Artificial Intelligence (AI) in higher education is reshaping student learning experiences, academic engagement, and institutional delivery. This study explores how students perceive and engage with AI tools within educational environments, focusing on both opportunities and challenges. Using primary data collected from 100 students, statistical techniques such as ANOVA and multiple regression were applied through SPSS V-15 to analyze factors influencing student engagement. Findings reveal that while students largely acknowledge the advantages of AI for personalized learning and support, concerns remain over data privacy, system bias, and lack of human interaction. This paper recommends inclusive AI policies and increased student readiness for future AI-driven education.
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Publication Date
5/23/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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