What a teacher cannot delegate: a pedagogy-first framework for integrating conversational AI agents across the simulation cycle

A framework published in Frontiers in Education outlines the integration of conversational AI agents across the simulation-based learning cycle, which comprises preparation, enactment, and debriefing. The core principle establishes that educator evaluation of pedagogical requirements, rather than raw technological capability, must govern how, where, and if conversational AI is deployed, reinforcing that AI serves to extend rather than replace instructional staff.

This framework provides a model for shifting AI adoption from technology-driven deployment to pedagogy-led integration. It ensures that investments in conversational technologies directly reinforce learning outcomes without undermining educator authority. By treating AI as an augmenting tool across specific instructional phases, institutions can scale complex learning simulations while maintaining educational quality.

Simulation-based learning effectiveness hinges on fulfilling the distinct pedagogical demands of preparation, enactment, and debriefing.

Forward consideration, not a verified fact.