Artificial Intelligence and Education: The Future of Digital Transformation

Abstract

In recent years, artificial intelligence (AI) has become one of the most significant technologies with the potential to transform educational systems. AI-supported systems provide new opportunities in education by making learning processes more personalized, efficient and accessible. This study aims to examine the integration of artificial intelligence into educational systems, its areas of application, advantages, challenges and possible future directions.

The study was conducted using the literature review method. Academic studies, reports and scientific publications focusing on the relationship between artificial intelligence and education were analyzed. Within the scope of the review, AI-based learning systems, intelligent tutoring assistants, assessment and evaluation tools, language learning platforms and applications designed for individuals with special needs were examined.

The findings indicate that artificial intelligence supports student-centered learning, reduces teachers’ workload and increases the efficiency of educational processes. However, important risks such as data privacy concerns, ethical issues, changes in teachers’ roles and inequalities in access to technology were also identified. As a result, it is concluded that in order to use artificial intelligence effectively and sustainably in education, policies should be developed in line with ethical principles, teacher training should be expanded and technological infrastructure should be strengthened.