TRENDS IN THE DEVELOPMENT OF SCIENCE IN THE DIGITAL TRANSFORMATIONS

The possibility of using personalized learning systems to change educational methods is expanding quickly due to developments in artificial intelligence (AI).This study explores how AI-powered tools, such as intelligent tutoring software and adaptive learning platforms, can produce personalized learning experiences that fit the requirements, learning styles, and development of each learner.The study aims to examine how AI may enhance responsive and tailored education by modifying teaching techniques to improve student engagement and learning outcomes.This paper integrates case studies looking at actual personalized learning technology installations with an examination of contemporary AI uses in education.The study assesses how AI improves learning by delivering personalized information, offering immediate feedback, and facilitating ongoing progress tracking, with a focus on tools like machine learning algorithms, natural language processing, and real-time data analysis.The findings show that by adapting resources and feedback to students' learning needs and speed, AI-based solutions greatly improve engagement and aid in comprehension.In conclusion, although AI-enabled customized learning has the potential to revolutionize educational methods, there are drawbacks as well, such as issues with accessibility, data protection, and integrating these technologies in conventional academic settings.This study emphasizes the necessity of adopting AI with consideration to optimize its advantages while resolving practical and ethical issues in educational environments.