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This qualitative study explores how teachers in Chinese schools perceive AI-assisted administrative tools in the pre-adoption phase. Integrating the Technology–Organization–Environment (TOE) framework within the Technology Acceptance Model (TAM), it examines how institutional conditions shape perceived usefulness (PU), ease of use (PEOU), and adoption intention. Based on interviews with 80 K–12 and higher education teachers in Beijing, findings show cautious optimism: while AI is seen as potentially easing administrative burdens, adoption depends on task alignment, leadership, support, and role clarity. The study highlights that teachers’ evaluations are shaped by systemic dynamics, not just individual attitudes. The TOE-enhanced TAM provides a context-sensitive model for understanding early-stage AI adoption in education systems undergoing digital transformation.