AI-Powered Personalized Education: Impacts on Student Achievement and Future Perspectives

Overview & Synopsis

This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as adaptive learning systems, automated assessment and feedback, and learning analytics. The first section of the study addresses the fundamental concepts and history of personalized education, discussing the development of these approaches and the role of AI in education. The impacts of AI-powered personalized education on student achievement are emphasized, focusing on improving the learning process, increasing student motivation and engagement, and enhancing student performance. Additionally, ethical and social issues such as data privacy and security, equity and access problems, and the roles of teachers and students are examined in detail. This study provides examples of successful AI-powered personalized education practices, demonstrating how these technologies can be utilized in education and how they can enhance student achievement. The Future Perspectives and Trends section discusses the future of AI and personalized education and how technological advancements will shape innovations in education. In the conclusion, recommendations for educational policies and strategies and future research areas and studies are presented. Successfully and ethically integrating AI-powered personalized education will make education systems more efficient, effective, and equitable. This article comprehensively evaluates how AI technologies can be used in education and how their use can contribute to student achievement. [For the full proceedings, see ED671809.]