Does Artificial Intelligence help Teachers with Student Engagement?

Abstract This qualitative case study explores the perceptions and experiences of three middle school educators regarding the integration of artificial intelligence (AI) in the classroom to enhance student engagement. Grounded in cognitive load theory, the study investigates how AI tools can support differentiated instruction, provide personalized learning experiences, and reduce teacher workload through adaptive scaffolding and real-time feedback. Semi-structured interviews with teachers of varying experience levels were conducted to identify common themes. Thematic analysis revealed four key areas: student engagement and personalized learning, teacher integration of AI technology, ethical considerations, and the need for professional development. While participants recognized the potential of AI to promote student motivation and success, they also expressed uncertainty about ethical boundaries and a lack of formal training. Findings underscore the importance of equipping educators with structured, ethical, and pedagogically sound professional development to ensure effective AI implementation in classrooms.