Transforming Educational Dynamics: Machine Learning's Influence on Teacher-Student Interactions in Hybrid Learning Environment

Abstract

Teacher-student interactions are changing in both physical and virtual classrooms as a result of the adoption of machine learning technology in education. This study examines the significant effects of machine learning on the educational landscape, enlightening its many uses and educational advantages for both teachers and students. This study focuses on teacher-student connections, emerging technologies, enhancing teaching strategies, personalized learning experiences and educational results by investigating the integration of machine learning algorithms and tools in educational contexts. Personalized learning opportunities and adaptable feedback techniques can help students become self-directed learners, which has a positive effect.