From the work they already turned in to knowing who needs what.
No testing day. No new workflow. Four steps, start to insight.
Tell it what good looks like.
Paste a rubric, standards, or your own words. Confirm how it was read. Define it once, reuse it across every section.
~15 secondsDETAIL: Builds arguments with developed reasons, varied evidence clearly supportive of claims, and cited sources. ...
Pull in the work students already did.
From your LMS, Google Drive, or a direct upload. Typed, PDF, or scanned handwriting, it all reads in.
~20 secondsGet the read in minutes.
Every student, on every criterion, clustered by demonstrated level. Every claim cites the student's own work.
~3 to 5 minutes per class"Recycling is good and I think more people should do it because it helps."
"Although critics argue that curbside programs cost more than they save, the county's own data shows the opposite, and that gap is the strongest reason to expand them."
Act on it tomorrow. Watch growth all year.
Tomorrow's groups build themselves. Growth tracks against each student's own earlier work, with the evidence to back it, from MTSS reviews to parent emails.
Saved automaticallyIt rides the day you already have.
Student work never leaves a controlled private AI environment.
Never sent to public AI tools. Never used to train models. FERPA and COPPA aligned.
Read the full privacy & security pageSee LearningPulse run on real student work.
Register for a 30-minute webinar about the benefits of Student Work Analysis and see LearningPulse analyzing real student data. Or book a demo for a private walkthrough and trial conversation.
