Coaching, which involves classroom observation and expert feedback, is a widespread and fundamental part of teacher training. However, the majority of teachers do not have access to consistent, high quality coaching due to limited resources and access to expertise. We explore whether generative AI could become a cost-effective complement to expert feedback by serving as an automated teacher coach. In doing so, we propose three teacher coaching tasks for generative AI: (A) scoring transcript segments based on classroom observation instruments, (B) identifying highlights and missed opportunities for good instructional strategies, and (C) providing actionable suggestions for eliciting more student reasoning. We recruit expert math teachers to evaluate the zero-shot performance of ChatGPT on each of these tasks for elementary math classroom transcripts. Our results reveal that ChatGPT generates responses that are relevant to improving instruction, but they are often not novel or insightful. For example, 82% of the model's suggestions point to places in the transcript where the teacher is already implementing that suggestion. Our work highlights the challenges of producing insightful, novel and truthful feedback for teachers while paving the way for future research to address these obstacles and improve the capacity of generative AI to coach teachers.

本研究探讨是否生成式人工智能可以作为自动化教练辅助专家反馈以成为对教师训练的一种有效补充。在这个过程中，针对小学数学课堂记录文本，我们提出了生成式人工智能的三种教师培训任务，并邀请数学领域专家评估了ChatGPT模型在每种任务上的表现。研究显示，生成式AI提供的反馈意见虽然往往不是新颖或有洞察力的，但它们仍然与改善教学相关。

ChatGPT是否是一位出色的教师辅导？通过测量零-shot性能，为课堂教学评分和提供可操作洞见