Publication Details
Abstract
In recent years, data science technologies have become essential in shaping the future of education systems worldwide. This study investigates the application of data science in modern educational environments, focusing on how artificial intelligence, machine learning, and data analytics are used to personalize learning, automate assessment, and improve academic outcomes. The methodology includes content analysis of international educational platforms, case studies of AI-based teaching tools, and a comparative evaluation of student performance metrics. The results reveal that data-driven educational solutions significantly enhance teaching efficiency, student engagement, and curriculum flexibility. The discussion highlights both opportunities and challenges, including ethical considerations and digital readiness, especially in the context of developing countries. This paper contributes to the growing field of educational data science by offering practical insights and outlining directions for future research.