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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61877
Volume:
10 |
4 |
April 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.
Artificial Intelligence
MES’s D.G. Ruparel College of Arts Science and Commerce
Artificial Intelligence
MES’s D.G. Ruparel College of Arts Science and Commerce
Artificial Intelligence
MES’s D.G. Ruparel College of Arts Science and Commerce
Artificial Intelligence
MES’s D.G. Ruparel College of Arts Science and Commerce
Artificial Intelligence (AI) is transforming education by enabling personalized learning, automating administrative tasks, and enhancing teaching methods. AI-powered tools such as intelligent tutoring systems and adaptive learning platforms help tailor content to individual student needs, improving learning outcomes. It also supports educators by reducing workload through automated grading and feedback systems. However, challenges like data privacy, high costs, and lack of technical expertise remain significant. This paper examines the benefits and limitations of AI in education and highlights the need for ethical and balanced implementation for effective learning.
KEYWORDS
AI has transformative potential in education by enhancing personalization, efficiency, and accessibility. While empirical data supports its effectiveness, ethical implementation and policy support are essential. Future systems must balance automation with human-centered teaching.
APA Style Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education. Center for Curriculum Redesign. Luckin, R. (2020). AI for School Teachers. UCL Press. Zawacki-Richter, O., et al. (2019). Systematic review of AI in higher education. International Journal of Educational Technology. Kumar, S., et al. (2023). AI-based learning analytics. IEEE Access. UNESCO. (2021). AI and Education: Guidance for Policy-makers. IEEE Style 1. W. Holmes et al., "Artificial Intelligence in Education," 2019. 2. R. Luckin, "AI for School Teachers," 2020. 3. O. Zawacki-Richter et al., "AI in higher education," 2019. 4. S. Kumar et al., "Learning analytics using AI," IEEE Access, 2023. 5. UNESCO, "AI in Education Policy Guide," 2021
Publication Date
5/1/2026
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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