The Impact of Artificial Intelligence on Personalized Learning in a Flipped Classroom Model

Abstract

Artificial Intelligence (AI) transforms education by facilitating personalized learning experiences tailored to the unique needs and abilities of each learner. This study investigates the role of AI within the flipped classroom model, where lectures are delivered online for independent study, while classroom sessions focus on interactive, hands-on activities. AI-powered tools such as intelligent tutoring systems, adaptive learning technologies, and predictive analytics enable the delivery of customized instructional approaches, enhancing student engagement and academic success. The research highlights how AI supports educators in identifying individual learning preferences, providing instant feedback, and adapting content delivery to accommodate different learning speeds. Through case studies and evidence-based analysis, the study demonstrates how AI helps close knowledge gaps, encourages active student participation, and improves outcomes in flipped classroom settings. The paper also addresses challenges, including disparities in access to technology, ethical concerns regarding data privacy, and the preparedness of educators and institutions to integrate AI effectively. Recommendations for overcoming these obstacles focus on teacher training, ensuring equitable access to technology, and adhering to ethical standards in AI implementation.