AssignmentGhost: Late Work Pattern Detector
Helps high school & college teachers identify students developing chronic procrastination patterns by analyzing submission timestamps and grade trends before intervention is too late.
The Problem
Teachers can see individual late assignments but lack early warning signals for students sliding into habitual procrastination. By the time a pattern is obvious, the student is already failing. Existing LMS systems show raw data but no predictive alerts—teachers reactively manage crisis instead of proactively intervening.
Target Audience
High school & community college teachers (grades 9-14) managing 100+ students across multiple classes, especially in subjects with frequent assignments like writing, math, and STEM.
Why Now?
Post-pandemic, remote/hybrid learning made assignment tracking harder and procrastination more invisible. Teachers are burnt out and need automation that catches struggling students before grades collapse.
What's Missing
LMS platforms optimize for grade recording, not predictive intervention. Teachers manually scan submission lists for patterns—a repetitive task perfect for automation that no edtech vendor has tackled at scale.
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