<b>Longitudinal Mixed Methods Study </b><b>o</b><b>f Teacher Professional Identity Reconstruction </b><b>i</b><b>n Ai Enhanced Decision Making Systems</b>

This study investigates how teachers’ professional identities are reconstructed as their roles evolve within AI-enhanced decision-making systems, drawing on a longitudinal mixed-methods design based on capability trajectories. In the context of information-based education, traditional teacher identities face new challenges such as online public opinion management and interdisciplinary teaching, necessitating the establishment of an identity reconstruction framework based on capability development.