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Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction

Authors
Rose Wang,
Dorottya Demszky
Date
Publisher
arXiv
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.
Study at a glance
  • Question: Can ChatGPT effectively coach teachers by scoring classroom instruction and providing helpful feedback?
  • Setting and data: Elementary math classroom transcripts and expert math teachers.
  • Method: Expert teachers evaluate ChatGPT's performance on scoring and providing feedback across three coaching tasks.
Why it matters

Coaching is fundamental to teacher training, but most teachers lack consistent, high-quality coaching due to limited resources and expertise. Generative AI could serve as a cost-effective complement to expert feedback by providing automated coaching.

Key findings
  • In elementary math transcripts, 82% of ChatGPT's coaching suggestions pointed to places where teachers were already implementing the suggested instructional strategy.
  • Expert teachers found that ChatGPT generated feedback relevant to improving instruction, but its suggestions were often not novel or insightful.
  • The AI tool struggled to produce coaching feedback that was truthful, novel, and insightful for teachers.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

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