ISSN 2581-5369
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Current Research Trends in the Application of Artificial Intelligence in Indian Education and Their Impact on Student Outcomes: A Systematic Review
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Dr. Manisha Kumari
Assistant Professor at AIBAS, Amity University, Noida, India
Abstract
This systematic review investigates contemporary trends in the application of Artificial Intelligence (AI) in Indian education and evaluates its effects on student outcomes. Employing the PRISMA 2020 framework, 100 peer-reviewed studies published between 2020 and 2025 were examined. Findings reveal the prominence of personalized learning platforms, AI-driven assessments, and intelligent tutoring systems. Challenges such as data privacy, ethical concerns, and infrastructural disparities are also highlighted. Thematic analysis identifies seven core domains of AI implementation in education. The review concludes with recommendations for ethical, inclusive, and effective AI integration aligned with the National Education Policy (NEP) 2020.
Keywords
- Artificial Intelligence
- Indian Education
- Student Outcomes
- PRISMA
- Systematic Review
- Learning Analytics
- Personalized Learning
- Educational Ethics
Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 2, Page 5859 - 5874
DOI: https://doij.org/10.10000/IJLMH.1110719Creative Commons
This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2021