scored from real work
AI progress monitoring for special education
AI progress monitoring for special education starts with the work your students already produce. Photograph the worksheet on the way out of the room; SyncIEP grades it against the goal it serves, reads the date off the page, and adds the scored point to the mastery chart. The photo stays attached as evidence.
One photo becomes a scored, dated, charted data point.
From a photo to a scored data point
The grader reads the student’s actual work and scores it on the metric the goal itself defines. A worksheet from Friday lands on Friday even if you upload it Monday, because the date comes off the page itself.
- Multi-shot capture takes a whole stack of work at once.
- Review and adjust any score; the chart updates with you.
- The original image stays behind every data point.
Mastery charts that draw themselves
Every scored point joins the goal’s mastery series with the baseline and target drawn on the same chart. Click a point and the student’s actual work opens behind it. Progress reports pull from the same series, so the end of the quarter is a review rather than a rebuild.
The error pattern behind the percentage
A percentage says how often a student missed; the rollup says what they missed. SyncIEP groups errors across work samples, so you can see that regrouping is the problem rather than subtraction, and adjust instruction before the next data point.
- Rollups grouped by skill, so a pattern shows up across weeks.
- Works on scanned worksheets, writing samples, and math pages.
Everyone logs on the goals they own
Providers record sessions and data on their own goals, case managers see the whole picture, and co-teachers see the students you share. The data lives in the same case the IEP does, so nothing waits on a sync from a separate app. Service minutes land on the same record, which means delivery is documented if anyone ever asks.
Point the camera at Friday’s worksheet.
Start a 30-day free trial; the first mastery chart takes one photo.