Artificial Intelligence (AI) has become one of the most transformative technologies in the field of education, reshaping how students learn and teachers instruct. This review-based research paper explores the applications, benefits, and challenges of AI integration in education. The study examines ten recent research papers published between 2019 and 2025 to identify global trends, common AI applications, and current research gaps. The reviewed literature reveals that AI has significantly enhanced personalized learning, automated assessment, intelligent tutoring, and data-driven decision-making in classrooms. However, challenges such as lack of teacher training, ethical concerns, data privacy issues, and limited research from developing countries persist. The paper highlights the need for pedagogically aligned AI systems and inclusive frameworks that ensure ethical and equitable use of technology. The findings emphasize that while AI holds great promise in transforming modern education, its successful implementation requires collaboration among educators, policymakers, and technologists.

This review-based study concludes that Artificial Intelligence (AI) is revolutionizing the field of education by transforming traditional teaching and learning processes into more personalized, efficient, and data-driven systems. Through the analysis of ten recent research papers, it is evident that AI contributes to improving student engagement, automating assessments, enhancing administrative operations, and providing adaptive learning opportunities that cater to individual learner needs. The findings highlight that AI integration in education has the potential to bridge learning gaps, promote inclusivity, and support teachers with advanced tools for classroom management and student evaluation. However, challenges such as data privacy issues, algorithmic bias, inadequate infrastructure, and lack of teacher training continue to limit AI’s full potential—especially in developing nations like India. Therefore, it is essential to focus not only on technological advancement but also on ethical, pedagogical, and contextual alignment for sustainable AI adoption in education.

[1]Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0 [2] Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510 [3]Wang, Y., Wang, Y., & He, X. (2024). A comprehensive analysis of artificial intelligence in education: Trends and perspectives. Computers and Education: Artificial Intelligence, 6, 100155. https://doi.org/10.1016/j.caeai.2024.100155 [4]Tahir, R., Aslam, M., & Ahmed, A. (2024). Artificial Intelligence in Education: Conceptual frameworks and implementation challenges. Education and Information Technologies, 29(3), 4051–4073. https://doi.org/10.1007/s10639-024-12345-7 [5]Keser Ateş, H., Özdemir, M., & Bozkurt, A. (2025). Mapping the landscape of Artificial Intelligence research in education: A bibliometric analysis (2010–2025). Computers in Human Behavior, 152, 107234. https://doi.org/10.1016/j.chb.2025.107234 [6]Memari, A., & Ruggles, S. (2025). Integrating Artificial Intelligence in STEM Education: A systematic review of K–12 applications. Research in Science Education, 55(2), 657–678. https://doi.org/10.1007/s11165-025-10078-2 [7]MDPI. (2024). Applications of Artificial Intelligence in Education: A review of recent developments. Education Sciences, 14(2), 210–225. https://doi.org/10.3390/educsci14020210 [8]Mallik, A., & Gangopadhyay, T. (2023). Proactive and reactive AI systems for personalized learning. Computers & Education, 200, 104825. https://doi.org/10.1016/j.compedu.2023.104825 [9]Latif, K., Ali, S., & Hussain, M. (2023). The role of Artificial General Intelligence (AGI) in future education systems. Journal of Educational Computing Research, 61(5), 1034–1051. https://doi.org/10.1177/0735633123123456 [10]Research in Science Education. (2024). Use of AI-assisted tools in physics and biology learning. Research in Science Education, 54(4), 389–401. https://doi.org/10.1007/s11165-024-09987-9