Catch up on grading without lowering your standards.
Hawkings Grader applies your rubrics to exams and assignments and drafts detailed feedback for every learner. Professors review, adjust when needed, and publish in a click—so correction cycles run in days instead of weeks, with more feedback than was ever realistic by hand.
Grading queue
Before Grader, many institutions are always behind on marking: stacks of exams, late feedback, and professors correcting at night or on weekends. Grader builds a clear queue of submissions for each course and exam and does a first pass with AI, so your team spends their time reviewing and publishing instead of starting from zero on every script.
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Better feedback by default
Most professors would love to give rich, individualized feedback, but time makes it impossible. Grader generates detailed comments tied to your criteria for every learner, even when rubrics are simple or auto-generated. Professors can tweak tone and content over time so the system speaks more and more like them.
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Consistency & fairness
When many people are marking, it’s hard to keep rubrics applied the same way across groups, campuses, or sessions. Grader uses the same criteria for every submission, flags potential outliers, and records changes, so quality and assessment teams can stand behind the results with evidence instead of assumptions.
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Human in the loop
Grader never publishes grades on its own. It does the repetitive work—reading scripts, applying rubrics, drafting feedback—and then hands everything to your staff in a queue. Professors and marking teams review, adjust tone or scores when needed, and only then push results back to the LMS. Over time, Grader learns your preferences and becomes the assistant you wish you had on day one.
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frequently asked questions
What most teams ask before grading with Grader.
Grader is built for real assessment teams. Here are the questions we hear before a program goes live.