We developed and validated a scalable LLM-based labeler for classifying student cognitive engagement in GenAI tutoring conversations. Higher engagement levels predicted improved next-item performance, though further research is needed to assess distal transfer and to disentangle effects of continued tutor use from true learning transfer.