Enhancing Flipped Classroom Engagement and Personalized Learning Through AI-Powered Adaptive Content Delivery
Serik Zharmukhanbetov, Chandan Pal Singh
Abstract
In the realm of modern education, flipped classroom teaching tool is a new and advance pedagogical innovation, fostering active learning, and student engagement. This paper explores the synergy between the flipped classroom and artificial intelligence (AI) to enhance student engagement and personalized learning experiences. We investigate the implementation of AI-powered adaptive content delivery systems within the flipped classroom, focusing on content recommendation, real-time progress monitoring, personalized feedback, and adaptive learning paths. Through empirical research in a high school setting, we evaluate the impact of AI-driven enhancements on student motivation, cognitive knowledge acquisition, and overall learning outcomes. Additionally, ethical considerations surrounding data privacy and bias in AI-driven education are discussed. The findings demonstrate the potential of AI to revolutionize the flipped classroom and make it more effective.