A study evaluates the feasibility of using a large language model (LLM) to score teacher-child interactions in early childhood classrooms. The results show that the LLM can capture some aspects of teacher-child interactions, but struggles with procedural or context-dependent interactions. This suggests that AI-assisted observation may be useful as a preliminary screening tool, but not a replacement for trained observers.