Survey courses in contemporary British drama often enroll well over a hundred students, and a play like Richard Bean's The Heretic is a natural anchor for a unit on science, politics, and theatre. Writing assignments in these courses are valuable, but they create a serious grading burden. A professor who assigns even one short paper per unit can face hundreds of papers over a semester. Without a plan, feedback quality falls as the volume rises.

The first step is to be deliberate about which assignments need detailed comments. Not every piece of writing needs the same level of feedback, and treating them all equally leads to burnout. Low-stakes response papers may need only a quick check against a few criteria, while a major analytical essay deserves fuller commentary. Mapping the course this way helps professors invest their time where it matters.

Course structure can also reduce the burden without reducing learning. Shorter, more frequent assignments often produce better writing than a single long paper, and they are easier to grade quickly. A 600-word focused analysis of one scene from the play can reveal as much about a student's skill as a ten-page essay. Smaller pieces also let students improve across the term.

Building a Consistent System

In large courses, consistency is the main fairness concern. Students compare grades, and differences between sections or graders quickly become sources of complaint. A single shared rubric, annotated examples, and brief norming sessions keep everyone aligned. Professors who invest in this setup at the start of the term save time on grade disputes later.

• Use one rubric across all sections and graders
• Provide annotated sample papers showing different score levels
• Hold a short calibration meeting before grading begins
• Spot-check a random sample of each grader's work
• Keep a shared document of common comments and their rationales

Using Comment Banks Wisely

Comment banks, collections of reusable feedback statements, can speed up grading considerably. The risk is that students notice when feedback feels copied and pasted. The best banks contain flexible comments that graders adapt with a specific reference to the student's paper, such as the scene or quotation in question. This approach keeps feedback personal while saving typing time.

Banks also reveal patterns. If one comment gets used on a third of the papers, that is a sign to address the issue in lecture. Turning common problems into teaching moments reduces the number of repeated comments in future assignments. Grading and instruction become connected rather than separate tasks.

Where AI Grading Support Fits

AI-assisted grading tools are particularly useful in large courses because they can apply a rubric to every paper in the same way and draft feedback in a consistent format. Instructors and teaching assistants review the output, adjust where needed, and add expert commentary. This division of labor makes it realistic to give meaningful feedback to hundreds of students. It also reduces the variation that comes from fatigue.

Departments considering these tools should pilot them on one assignment and compare results with human grading on a sample of papers. That comparison shows where the tool agrees with experienced graders and where it needs adjustment. Starting small builds trust and reveals practical details before a wider rollout. It also gives faculty a voice in how the technology is used.