The rapid advancement of Artificial Intelligence has brought significant transformations across various industries, and education is no exception. AI’s integration into the education sector has accelerated due to the widespread availability of digital platforms, increasing reliance on data-driven decision-making, and a global push for personalized and inclusive learning. Unlike primary data studies that rely on direct surveys or experiments, this research paper draws entirely from secondary data sources, including published academic studies, policy reports, institutional case analyses, and global education reviews.
Secondary data provides a comprehensive and multidimensional understanding of AI’s evolution and its impact on education systems worldwide. Reports from UNESCO, OECD, World Bank, McKinsey, and research journals highlight both the promises and challenges associated with AI adoption in education. Collectively, these sources indicate that AI has enhanced instructional efficiency, facilitated learner-centered approaches, and improved institutional management. However, concerns related to data privacy, ethical implementation, teacher readiness, and infrastructural limitations persist.
This paper aims to consolidate evidence from existing literature to present an in-depth analysis of AI’s role in transforming education. It provides updated insights into global trends, applications, and best practices and also analyzes the risks and barriers that must be addressed to ensure equitable and ethical integration.
