Current Research Trends in the Application of Artificial Intelligence in Indian Education and Their Impact on Student Outcomes: A Systematic Review
Lead author · Corresponding
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
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