Few tasks in teaching feel as heavy as a stack of 120 essays on a complex novel such as It's Raining in Mango. Each script demands attention to argument, evidence, structure, and style, and a conscientious marker can easily spend fifteen minutes on a single essay. At that rate, a full class set takes thirty hours, which is rarely time a teacher actually has.

The solution is not to care less but to remove friction from the process. Most of the time spent marking goes toward rereading, deciding how to phrase a comment, and writing the same correction repeatedly. Streamlining those three activities can cut total time dramatically without reducing the quality of the feedback students receive.

Start by reading each essay with one purpose at a time rather than trying to evaluate everything on a single pass. A first quick read for the overall argument gives you the shape of the piece, and a second targeted read can focus on evidence or structure as needed. This approach feels slower at first, but it reduces the mental switching that exhausts markers over long sessions.

Build a reusable comment bank

A comment bank is a collection of well-written feedback statements that you can adapt rather than compose from scratch. For novel essays, the bank might include comments on thesis strength, evidence explanation, contextual awareness, and paragraph focus. Writing these carefully once, with specific suggestions for improvement, means that each later use delivers high-quality feedback in seconds.

• Group comments by rubric criterion so they are easy to find
• Write each comment with a concrete next step for the student
• Include a short example of a stronger sentence where helpful
• Keep a separate set of comments that praise specific strengths
• Update the bank each term based on the errors you see most often

Mark in batches with deliberate breaks

Marking quality drops noticeably after the first hour of continuous work, which is why the last essays in a set often receive less careful treatment. Working in batches of eight or ten, with short breaks between them, helps maintain focus and keeps your standards consistent from script to script. It also gives you natural checkpoints for comparing a recent essay against an earlier anchor.

Marking order can matter too. Shuffling the stack so that you do not always read the same students first or last prevents fatigue from systematically disadvantaging the same group. Small procedural choices like this protect fairness without adding any extra work to the process.

Where AI grading fits into the workflow

AI grading support is most useful at the stages where marking is repetitive, such as applying a rubric consistently and drafting criterion-based comments. When the tool is set up with your own rubric and reflects your priorities for the text, it can produce a structured first pass for every essay in the set. You then review the results, adjust where your judgment differs, and add personal remarks.

This hybrid approach keeps the teacher firmly in charge while removing the most draining parts of the job. Instead of facing thirty hours of unbroken marking, you spend your effort on the decisions that actually require expertise. The result is faster turnaround, more consistent standards, and feedback that students can use before the next assessment arrives.