TeacherGradeAudit: Bias Detection Engine
AI tool that analyzes a teacher's grading patterns across students to surface unconscious bias in assignment scores and feedback, helping educators calibrate fairness.
The Problem
Teachers grade hundreds of assignments per term, making unconscious bias inevitable—students of certain demographics, learning styles, or backgrounds often receive systematically different grades for similar work. Schools have no easy way to audit this at scale, and teachers lack real-time feedback on their grading consistency.
Target Audience
High school and middle school teachers (especially those teaching mixed-ability classrooms), department heads, and school administrators seeking to improve grading equity.
Why Now?
Districts are under pressure post-2020 to demonstrate equity commitments, and LLMs make pattern analysis and bias explanation accessible without PhD-level ML expertise.
What's Missing
Teachers want to improve but have no visibility into their own patterns; existing tools focus on *creating* rubrics, not *auditing* past grades for bias signals.
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