HOW CAN ARTIFICIAL INTELLIGENCE SHAPE THE FUTURE OF SUSTAINABLE EDUCATION? CHALLENGES AND OPPORTUNITIES

Artificial intelligence (AI) is bringing about a significant transformation in the educational process, making it more personalized for each student and enhancing their engagement with content while reducing the time spent on administrative tasks such as attendance tracking and exam grading. AI-powered systems can analyze student behavior, identify learning patterns, and provide personalized feedback, creating an adaptive learning environment that responds to each student's needs. This study aims to review current research on the use of modern AI technologies such as machine learning, deep learning, and natural language processing in education. The study summarizes the challenges associated with these technologies. Additionally, the study suggests improvements for each of the challenges discussed, focusing on creating more robust, transparent, and equitable AI systems. It also summarizes the key databases used to build AI models in education, highlighting their role in enhancing the accuracy and efficiency of AI-driven educational tools. Despite the vast advancements in AI-based educational technologies, there remains a critical gap in understanding how these systems can equitably benefit diverse student populations and ensure ethical implementation. This study not only examines existing AI applications but also critically evaluates their limitations, particularly in ensuring fairness, reducing biases, and maintaining transparency in decision-making. By addressing these concerns, this research contributes to the ongoing discourse on improving AI-driven education systems to better serve students from various backgrounds and learning capabilities. This study is expected to contribute to the development of AI applications that not only improve the quality of learning but also provide a more efficient, equitable, and interactive learning environment that supports both educators and students.