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Transforming Teacher Development with AI-Driven Coaching Feedback

AWS Partner Network Blog

The article discusses how AI-driven coaching feedback can enhance teacher development by providing personalized guidance and support to coaches and early career teachers. Specifically, it covers:

  • Background on the challenges faced in implementing effective coaching programs for teachers, such as time constraints, lack of personalized support, and tailored guidance.
  • The development of a pilot solution by Steplab, AWS, and BJSS using Amazon Bedrock's Large Language Model (Claude 3.5 Sonnet) to analyze coaching session transcripts and provide feedback aligned with Steplab's coaching model.
  • The iterative process of prompt engineering, model selection, and parallel analysis system design to improve feedback generation accuracy.
  • The solution architecture, leveraging AWS services like Amazon Cognito, AppSync, Lambda, S3, SQS, and DynamoDB.
  • Future plans to expand testing to more schools and extend the AI tool for direct support and rehearsal mode for early career teachers.
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