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What a Feedback Machine is, what it can evaluate, and how you and your students reach it — through Canvas or direct login.
Feedback Machines is a system that harnesses leading-edge AI models — such as those from Anthropic, Google, and OpenAI — to auto-grade and provide detailed, criteria-aligned feedback on qualitative student work: essays, memos, case studies, presentations, EXAMIND Simulations, and more.
You configure a Feedback Machine by giving it your assignment instructions and a grading rubric — or have one generated for you. It then evaluates each student submission against those criteria, returning both a grade and detailed feedback tied to your criteria.
No rubric yet? You don't need one to start. Feedback Machines can generate a rubric for you to the highest pedagogical standards. Just direct it on the qualities that matter for your learning outcomes, and it turns them into a complete, criteria-based rubric you can review and adjust.
How you and your students reach it
You — and your students — can use Feedback Machines two ways:
Feedback Machines is a separate product from the EXAMIND Platform, with its own setup — configuring one doesn't configure the other. Its only built-in LMS integration is Canvas; with any other LMS (or none), use direct login (see Without Canvas).
What it can evaluate
Feedback Machines works with any assignment a student can submit as text, .docx, or .pdf, including:
Essays and reports
Business memos and emails
Letters
Case studies
Negotiation preparation documents
Negotiation reflections
Presentation decks (as
.pdf)
Beyond the text itself, Feedback Machines can evaluate images and visuals inside PDFs, and document formatting in .docx files — margins, font types and sizes, footers, footnotes, and the like.
Two ways to use it
Students submit a draft and receive immediate pedagogically optimal feedback aligned with your learning objectives, then revise and resubmit. You can track how many drafts each student submits and how their work improves across iterations.
This mode is built for skill development — the more feedback-and-revision cycles a student goes through, the more their work tends to improve.
Feedback Machines grades qualitative assignments at scale, producing scores and feedback aligned to your criteria. When configured properly, Feedback Machines exceed human-level inter-rater reliability (e.g. 0.9+ on Quadratic Weighted Kappa).
See Bulk Grading Assist to grade a whole class at once.
Feedback Machines and EXAMIND assessments
Feedback Machines can also auto-grade Simulation assessments in the EXAMIND Platform: once a Feedback Machine is linked to a Simulation, it evaluates the student's interaction against your criteria. (The EXAMIND Essay assessment type is instructor-graded.)
Linking is handled by EXAMIND for now. You can build and configure both a Simulation and a Feedback Machine yourself, but connecting the two currently requires us to set it up — just contact us and we'll link them. See Simulation Assessments.
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