International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 09 | Sep 2025
p-ISSN: 2395-0072
www.irjet.net
Artificial Intelligence in Education: A Systematic Review of Applications and Impacts Himanshusingh Deepaksingh Negi, Bantee Shivshankar Pandey, Rutuja Dnyaneshwar Jadhav Himanshusingh Deepaksingh Negi , Bachelors in computer science Bantee Shivshankar Pandey, Bachelors in computer science Rutuja Dnyaneshwar Jadhav , Masters in computer science Professor Amit Karbhari Mogal, Dept. of Computer science, Commerce Management and computer science college Nashik, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - The integration of Artificial Intelligence (AI) 2. Methodology into education has sparked significant interest in recent years, transforming traditional methods of teaching, learning, and educational administration. This systematic review examines the applications and impacts of AI in education, exploring how AI is currently being used, its benefits, challenges, and potential future implications. The study synthesizes research findings from a variety of sources, categorizing AI applications in educational contexts, including personalized learning, assessment, tutoring, and administrative support. The review also evaluates the effects of AI on students, teachers, and educational institutions, considering both positive outcomes and the challenges that arise with AI integration. Finally, the paper identifies key trends and future directions for AI in education.
This systematic review was rigorously conducted to synthesize the existing literature on the applications of Artificial Intelligence (AI) in education. The methodology was structured to ensure a comprehensive, transparent, and replicable approach, adhering to established principles of systematic review design. The review process was executed through the following distinct yet interconnected stages: 2.1.
Literature Coverage
Search:
Ensuring
Comprehensive
To achieve a broad and thorough understanding of the field, a comprehensive literature search was performed across a range of reputable academic databases. Recognizing the multidisciplinary nature of AI in education, databases spanning education, technology, and engineering were strategically selected. These included:
Key
Words: Artificial Intelligence, Education, Personalized Learning, AI Applications, Educational Impact, E-learning, Future Trends. 1.INTRODUCTION
Artificial Intelligence (AI) has evolved significantly in the past few decades, impacting diverse sectors such as healthcare, finance, and transportation. Among its many areas of application, education is one of the fields where AI's potential remains largely untapped. AI in education aims to enhance the learning experience by leveraging algorithms, data analytics, machine learning, and natural language processing to automate, optimize, and personalize educational processes.
Google Scholar: Chosen for its extensive coverage of scholarly literature across various disciplines, including grey literature and potentially unpublished works, ensuring a broad initial sweep of relevant research.
IEEE Xplore: Selected as a primary source for research within engineering and computer science, particularly relevant for studies focusing on the technical implementation and development of AI applications in education.
ERIC (Education Resources Information Center): Included as the premier database specifically dedicated to education research, offering access to a wide range of peer-reviewed articles, reports, and other educational materials directly relevant to the educational context of AI applications.
Scopus: Utilized for its comprehensive indexing of peer-reviewed literature, including journals,
The purpose of this systematic review is to explore the current applications of AI in educational settings, examining both its benefits and challenges. By reviewing existing literature and research studies, this paper aims to provide a comprehensive overview of AI's role in education, evaluate its effectiveness, and propose directions for future research and development.
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