Professors teaching large lecture courses on American literature or the African American novel often hesitate to assign writing. With one hundred or two hundred students, even a short paper on Jazz can generate weeks of grading. Yet writing is where much of the learning happens, and skipping it deprives students of practice in interpretation. A deliberate plan makes writing feasible even at scale.

The first step is to choose the right size of assignment. Short responses of 500 to 750 words focused on a single passage or question are far more manageable than full-length essays. They still require students to form a claim and support it with evidence. Several short assignments often build skills more effectively than one long one.

A tightly designed prompt is essential for efficient grading. Asking all students to analyze the same passage from Jazz, such as the narrator's reflection on the city, means every paper addresses common ground. Graders can then compare responses more easily and recognize patterns. Common material also simplifies the creation of a detailed rubric.

Dividing the work with teaching assistants

Large courses rely on teaching assistants, and consistency among graders is the biggest concern. A thorough rubric, a calibration session, and a set of sample papers at different levels help align scoring. Professors should plan time for TAs to practice on several essays and discuss discrepancies. A short investment up front reduces regrade requests later.

• Provide a rubric with detailed descriptors and a few annotated sample papers
• Hold a calibration meeting where everyone scores the same essays
• Establish a process for TAs to flag borderline or unusual papers
• Set a standard comment length and focus to keep feedback consistent
• Spot-check a sample of each TA's grading for quality

Feedback strategies that scale

Individualized comments on every paper are unrealistic, but students still need guidance. One approach is to provide class-wide feedback on common issues, such as a lecture-style summary of frequent weaknesses in thesis statements. Individual feedback can then focus on one or two targeted comments. Students benefit from both the general and the specific.

Rubric-based feedback with checked descriptors provides some personalization without lengthy writing. Adding a short free-text note about the most important next step makes the response feel individual. Over time, students learn what each descriptor means and can interpret their results independently. This approach respects the realities of scale while maintaining usefulness.

How AI grading can help at scale

AI-assisted grading is particularly valuable when hundreds of essays must be evaluated. A tool that applies the course rubric to each Jazz response can produce draft scores and comments quickly. Professors and TAs then review the output, adjusting where necessary. The process reduces repetitive work and improves consistency across graders.

Importantly, the tool should support human oversight, not replace it. Reviewing a sample of AI-scored papers helps verify alignment with course standards. Faculty can adjust the rubric or settings if they notice systematic issues. Used thoughtfully, AI allows large courses to include more writing than would otherwise be possible.

Making the most of limited contact

In large courses, individual interaction is scarce, so each touchpoint should count. Office hours focused on revision, brief written exchanges, and discussion sections can supplement written feedback. Encouraging students to bring their papers and comments to these sessions turns grading into conversation. Students who engage often improve markedly.

Finally, professors should treat writing assignments as opportunities to learn about the class. Reading a sample of papers reveals how students understand Jazz and where lectures may need adjustment. That insight can shape the remaining weeks of the course. Even in a large setting, writing and grading can fuel responsive teaching.