An Activity-Theoretical Approach to Teacher Professional Development in Pedagogical AI Agent Design
For teacher professional development programs, it reframes low engagement as a rational response to need-thwarting systems rather than individual deficits.
The study identified that 87% of teachers discontinue AI agent creation after professional development due to systemic contradictions, not lack of capacity, and a theory-driven redesign resolved this by synchronizing capacity and willingness.
This two-cycle formative intervention study examined why teachers disengage from AI agent creation after professional development - a low engagement paradox - and tested whether systemic redesign could address it. Cycle 1 (N=218) revealed that despite completing comprehensive TPD, 87 percent of teachers ceased creating within three weeks, with behavioral tracking and interview analysis identifying systemic contradictions as the source of psychological need frustration rather than capacity deficits. Cycle 2 (N=26) implemented Cultural-Historical Activity Theory and Self-Determination Theory - driven redesign directly targeting diagnosed contradictions, achieving synchronized enhancement of both capacity and willingness. The findings reframe implementation failure as a rational response to need-thwarting systems and offer a replicable CHAT - SDT diagnostic framework for transformative professional development.