AI Classroom Observation Use Cases

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Schools

The challenge: A head of department can sit in on a few lessons a term, so most teaching is never observed. How ClassTrack helps:

• A teacher records a lesson on a phone and sends the file, so observation does not need a visitor in the room.
• Every lesson is judged against the school’s own rubric, so feedback covers the same ground between observers and classrooms. The scores come back as words rather than numbers, so plan to read them rather than average them.
• Each point of feedback quotes the lesson, so a coaching conversation starts from evidence instead of memory.
• The action plan gives the teacher something to change in the very next lesson.

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Tutoring and coaching networks

The challenge: Tutors teach in many places, and nobody sees how the sessions actually run. How ClassTrack helps:

• Tutors send recordings from wherever they teach, and every session is reviewed the same way.
• Judging against one shared rubric shows which parts of your teaching model are landing and which are not. Keep the results in your own system if you want to compare sessions, since the scores are text and CrazyGoldFish has no view across analyses.
• Feedback arrives as written coaching, so a small central team can support a large network.

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Learning platforms (LMS and ERP)

The challenge: Schools ask for teacher development tools, and building audio analysis in-house is a large project. How ClassTrack helps:

• Add lesson analysis to your product through the API.
• Each analysis carries your own teacher ID and an optional institution ID, so you can group a teacher’s analyses over time inside your own screens.
• A webhook, an automatic message CrazyGoldFish sends your server, tells your platform the moment an analysis is ready or has failed.

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Teacher training programs

The challenge: Trainee teachers get feedback that is general, late, and rarely tied to what they said in class. How ClassTrack helps:

• A trainee records a practice lesson and gets written feedback, usually covering clarity, engagement, management, differentiation, and assessment, though the AI decides which areas it comments on.
• The strengths section shows what to keep doing, not only what to fix.
• The action plan separates what to try immediately from what to build over a term, which suits a training cycle.

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Next steps