AI-Supported Analysis of Student Work Saves Teachers Time Without Replacing Their Judgment

5 Teachers

Middle School Math Teachers

6 Months

of Classroom Implementation

3 Hours

Saved Per Class Per Week (on average)

Finding 1

EdLight Cuts Student Work Review Time Nearly in Half

Teachers went from spending roughly 45 minutes per class reviewing exit tickets to 15-30 minutes – without sacrificing instructional quality. Efficiency gains were greatest during high-pressure weeks when time was most limited.

Finding 2

Faster Pattern Recognition Enables Better Instructional Grouping

Instead of reviewing one paper at a time, teachers used EdLight to quickly surface shared misconceptions across a whole class – making precision pairing and small-group instruction faster and more targeted.

Finding 3

AI Feedback Works Best When Teachers Are in the Loop

Alignment between AI feedback and teacher judgment was strongest for numeric and symbolic tasks. For reasoning-heavy work like diagrams and graphs, teachers mediated AI insights – and students learned more when feedback was embedded in instructional routines rather than delivered directly.

Dive Deeper Into Our Research

Explore the full findings from our AIMS Collaboratory and Gates Foundation-supported pilot.

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