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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64287
Volume:
10 |
5 |
May 2026
Pages:
1-6
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.
Commerce
Nehru Arts and Science College
Department of B.Com CA
Nehru Arts and Science College, Coimbatore
The integration of Artificial Intelligence (AI) in digital learning has revolutionised educational models by enhancing personalisation, accessibility, and efficiency. AI tools such as intelligent tutoring systems and adaptive learning platforms provide tailored content and real-time feedback, enriching student engagement and outcomes. Educators also benefit from AI’s capabilities in automating tasks and analysing learner performance, which allows for targeted intervention. Nonetheless, challenges like data privacy, algorithmic bias, and the digital divide necessitate careful management. While AI can personalise education and streamline administrative tasks, concerns about academic integrity, over-reliance on technology, and reduced human interaction persist. The ongoing evolution of AI in education highlights the importance of ethical considerations and strategic implementation to ensure technology complements rather than replaces human teaching, ultimately promoting improved educational experiences.
KEYWORDS
Artificial intelligence (AI) is revolutionizing education by transforming traditional models with innovative tools that cater to individual student needs and streamline administrative processes. AI applications, such as intelligent tutoring systems and immersive virtual reality, enhance learning experiences. However, this shift raises ethical concerns, particularly regarding data privacy and equitable access. The study emphasizes the need for increased awareness and training on AI technologies among individuals. It aims to explore AI's impact on students and identify effective strategies for utilizing these advancements responsibly.
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Publication Date
5/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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