Reconstruction and Practice of University Teacher-Student Interaction Models in the Context of Intelligent Technology: An Empirical Analysis Based on the Teaching Micro-Cycle

Key Points

• The study aims to explore the impact of artificial intelligence on teacher-student interaction models at the university level.
• Empirical analysis of specific teaching scenarios
• Application of the teaching micro-cycle theoretical framework
• Case studies to illustrate interaction model restructuring
• Teacher-student interaction exhibits dual characteristics of decentralization and recentralization.
• Teachers shift from being knowledge authorities to becoming guides and curriculum designers.
• Students gain agency but encounter higher cognitive loads.
• Imbalance between technological use and teaching ethics is identified as a core challenge.