If your district shared a common assessment with you and you collected the responses in Illuminate, EnlightenAI can grade them for you against the district's rubric — and the scores roll up to district reporting. This guide walks the whole flow, from your dashboard all the way to the grading screen. (District assessments appear once your district is connected through Clever.)

At a glance: Add assignment → District assessment → Content Library → Use assignment → Import from Illuminate → match your class → upload your CSV → pick the response column → confirm students → Start grading.

A district-shared assessment is one your district handed you — it already has the assignment, rubric, and a trained AI grader built in. On your dashboard, click Add assignment, then choose District assessment. (This option appears once your district is connected through Clever.)

EnlightenAI opens the Content Library — the assessments your district has shared with you. Find the one you gave your students. Each card shows the grade, subject, rubric, and who created it. Click Use assignment to start grading it.

Because you already collected this work in Illuminate, choose Import from Illuminate. EnlightenAI will pull the student responses out of your Illuminate export and line them up against the district rubric. (Choose Assign on EnlightenAI instead if you want students to type their answers directly into EnlightenAI.)

First, tell EnlightenAI which class this work belongs to. Pick the roster that matches the students in your Illuminate file, then click Confirm and continue. Matching to a roster is what lets the scores roll up into your school and district analytics later.

In Illuminate, export the assessment responses as a CSV (or Excel) file. Back in EnlightenAI, drag that file onto this screen or click Upload File to choose it. Your export should include a column for the Local Student ID and a column for each question response.

EnlightenAI reads the file and confirms it imported successfully. You will see your file listed with a green check. Click Next to choose which responses to grade.

EnlightenAI matches each row in your file to a student on your roster using the Local Student ID. When everyone matches, you will see a Success! message. If some students do not match, EnlightenAI will flag them so you can check the IDs in your export. Click Continue.

Your export has one column per question. Check the box on the column that holds the writing you want to grade — here, the argument response — and give it a clear assignment name. Leave columns you do not want to grade (like a reflection) unchecked. Then click Next.

EnlightenAI organizes every student response into a gradable assignment — just like work submitted on the platform. Click Grade next to the assignment to open it.

You land in the grading setup with every imported response confirmed and the district rubric (here, Claim, Evidence, Reasoning) already attached — no rubric building required. Review the submissions on the Confirm submissions step, then click Start grading. From there you grade exactly as you would any EnlightenAI assignment: calibrate the AI on a few responses, let it grade the rest, then review and approve each one. Because this is a district assessment, the scores roll up to district reporting automatically.