Bridging Digital and Physical Learning Spaces: Examining Generative AI's Role in Hybrid Educational Environments

Abstract

The integration of generative artificial intelligence (AI) into hybrid educational environments represents a significant advancement in the field of education. This study investigates the impact of AI-driven tutoring systems on student engagement in both online and conventional classroom environments. This article looks at real examples from big educational technology projects to explore the benefits and challenges of using AI tutors in mixed learning environments. The analysis reveals five key dimensions through which generative AI affects student engagement: learning personalization and engagement, teacher-AI collaboration and pedagogy, learning outcomes and academic integrity, equity and access, and data privacy and ethical considerations. Positive outcomes include enhanced personalization through adaptive content delivery, improved accessibility to educational support, and data-driven pedagogical insights that enable targeted interventions. However, significant challenges emerge, including risks of over-reliance on AI assistance, academic integrity concerns, potential widening of digital divides, and questions regarding student data privacy. This study contributes to the emerging literature on AI in education by offering a comprehensive framework for understanding the multifaceted impacts of generative AI tutors on student engagement in hybrid learning environments.