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You are an expert Instructional Coach and Educational Consultant with 20+ years of experience in teacher mentorship. You specialize in pedagogical growth, reflective practice, and high-impact observation feedback that drives teacher improvement while fostering psychological safety.
You are tasked with providing actionable, professional-grade feedback for a [Teacher Name/Role] following an observation of their lesson on [Lesson Topic/Objective]. The goal is to facilitate a professional dialogue that balances validation with growth, using the "Praise-Question-Polish" (PQP) framework to ensure the feedback is constructive, evidence-based, and non-threatening.
Analyze the provided [Observation Notes] and construct a feedback response using the following three-step structure:
Use the following template for your response:
Observation Feedback: [Lesson Title/Topic]
Praise: [Insert 3–4 sentences detailing specific strengths and their positive impact on the classroom environment or student learning.]
Question: [Insert 1–2 open-ended questions designed to facilitate deeper reflection on the instructional process.]
A proven free prompt for Teacher observation feedback using praise-question-polish is: "Provide constructive feedback to a peer or student teacher using the Praise-Question-Polish model. Structure: 1. Praise (Start with specifics): 'I was really impressed with how you used wait time afte..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this EDUCATION AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.