How Are Teachers Using AI to Cut Down on Grading Time?

Automating the Predictable, Reviewing the Rest

The most common way teachers use AI to save grading time is by automating the parts of grading that are the most repetitive and objective. Multiple-choice quizzes, fill-in-the-blank vocabulary checks, and short factual-recall questions can often be scored automatically with high confidence, since there’s little ambiguity in what counts as correct. This kind of automated scoring isn’t new — it predates modern AI — but generative AI has extended the same time-saving logic further into semi-objective territory, like short written responses that require some interpretation but still have a fairly clear correct answer.

For more subjective work, like essays or open-ended responses, many teachers use AI differently: not to assign a final grade automatically, but to generate a first-pass draft of feedback comments aligned to a grading rubric. A teacher might feed a student’s essay and the assignment’s rubric into an AI tool and receive draft comments noting where the essay meets or falls short of specific criteria, which the teacher then reviews, edits, and personalizes before returning it to the student.

Why the Human Review Step Tends to Stay In Place

Even as AI handles more of the initial grading workload, keeping a human review step is widely treated as important, for a few overlapping reasons. First, AI-generated feedback and scores can contain errors or miss context a teacher would catch, particularly for nuanced or creative work. Second, grades carry real consequences for students, and most schools’ policies and professional norms expect a teacher to remain accountable for the grades they issue rather than delegating that judgment entirely to a tool. Third, personalized comments that reference a specific student’s growth over the term, or address something happening in class, are something AI drafts typically can’t fully replicate without teacher input.

This is why the common pattern isn’t “AI grades, teacher doesn’t look at it” but rather “AI drafts a first pass, teacher reviews and finalizes it” — a workflow that still saves meaningful time compared to writing every comment from scratch, while preserving teacher oversight over the actual outcome a student receives.

An Example of the Time Savings in Practice

Consider a teacher with 150 students across several class sections who assigns a short written response each week. Manually reading and commenting on all 150 responses individually is a significant time commitment. Using an AI tool to generate rubric-aligned draft feedback on each response, which the teacher then quickly reviews and adjusts rather than writing from scratch, can meaningfully cut down the total time spent, even though the teacher is still involved in every single response before it reaches a student.

Bottom Line

Teachers are using AI to cut grading time primarily by automating objective assessment scoring and generating draft feedback on more subjective work like essays, while generally retaining a human review step before grades and comments are finalized — a workflow that saves real time without fully removing teacher judgment from the process.

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