Skip to content
Example engagement · Education & EdTech

AI Assessment Feedback for an Online Learning Provider

Rubric-based feedback drafted by AI and approved by instructors, so learners get specific feedback in hours instead of a week.

Scroll
-58%
Instructor time per submission
7 days → 1 day
Feedback turnaround
0.86
Agreement with expert graders
Profile — Online learning provider, about 9,000 written submissions a monthTimeline — 7 weeks across 4 pilot coursesTeam — 2 engineers + 1 learning designer
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Instructors spent most of their week grading. Learners waited 6 to 8 days for feedback, and quality varied between graders.

What we build

The approach.

  • 01Converted each course rubric into explicit criteria with examples at every level.
  • 02Drafted feedback per criterion with quotes from the submission.
  • 03Instructors approve or edit every grade before release.
  • 04Measured agreement with expert graders on double-marked samples.
Where the AI works

Claude scores each criterion against the rubric, quotes the passages it relied on and drafts feedback in the course's tone, for instructor approval.

Claude APIPythonLMS API (Canvas / Moodle)Postgres
Proof, not promises

How we measure it.

Time per submission comes from the grading tool. Turnaround is submission to release. Agreement is the correlation with expert grades on a double-marked sample each term.

Questions

Before you ask.

No. Beyond Technologies designs it so an instructor approves every grade and comment before a learner sees it.

It connects to Canvas and Moodle through their APIs, and with other platforms through an export and import flow.

Next step

Want this measured on your own data? Start with a pilot.

Book a call
AI for Education & EdTech →Generative AI →Evaluation & Observability →Next example: AI Admissions Assistant for a College Network →Named client case studies →

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

Book a call→