Writing-intensive designations on large lecture courses create a difficult equation for professors. Students are supposed to write substantially and receive meaningful feedback, but one instructor and a few teaching assistants may be responsible for two hundred papers at a time. Verlyn Klinkenborg's Several Short Sentences About Writing emphasizes the close attention each sentence deserves, which seems impossible to deliver at that scale. The solution lies in focusing feedback strategically and building systems that support consistency.

The first principle is selectivity. A grader cannot comment meaningfully on every sentence in every paper, but they can identify the one or two patterns that most limit a student's writing and focus there. Giving a student a note about a recurring habit, with two or three examples from the paper, is more useful than twenty scattered marks. Students can use the note to revise the entire paper, not just the marked passages.

The second principle is shared language. When professors and teaching assistants use the same terms for common sentence problems, students receive consistent messages and graders work faster. A short glossary of terms, such as "stacked abstractions" or "repetitive openings," along with a sample comment for each, can be distributed to the grading team. This reduces the time spent writing from scratch and keeps feedback uniform.

Building a Scalable Feedback System

A scalable system combines a clear rubric, a comment bank, and a grading routine. The rubric defines what to look for, the comment bank supplies starting points for common issues, and the routine ensures that each paper receives similar attention. Teaching assistants should be trained with sample papers before grading begins, so they can calibrate their judgments. These steps take effort up front but pay off in time saved and consistency gained.

• A one-page rubric with specific descriptors for sentence clarity, concision, and variety.
• A comment bank of reusable notes that graders adapt with a specific example from each paper.
• A calibration session where graders score the same three papers and discuss differences.
• A rule limiting each paper to two or three focused sentence-level comments.
• A short class-wide mini-lesson addressing the most common problem found across papers.

Using Class-Level Patterns to Teach

One advantage of large classes is that patterns become visible. If a third of the students struggle with the same kind of sentence, a short lecture segment can address the problem for everyone at once. Professors can display anonymized examples, show a revision, and explain the principle. This is far more efficient than writing the same comment on seventy papers, and it reaches students who might not read their written feedback closely.

Class-level insight also informs future assignments. Professors can design the next prompt to give students practice with the skill they struggled with, and adjust the rubric to emphasize it. Over the course of a semester, this loop of grading, teaching, and assigning makes feedback part of the instruction rather than something added afterward.

Where Technology Can Help

Large courses are where AI-assisted grading tools offer the most obvious value. A tool configured with the course rubric can scan every paper, flag recurring sentence-level patterns, and draft comments tied to the rubric. Graders then review and adjust those comments, saving the time they would have spent on the first pass. The result is faster turnaround, and students receive feedback while the assignment is still fresh in their minds.

Professors should still keep humans in the loop. Spot-checking the tool's output, reading a sample of papers closely, and reviewing flagged edge cases protects against errors and bias. Transparency with students about how feedback is generated and reviewed also builds trust. Used responsibly, the technology extends the reach of a teaching team without replacing its judgment.

Keeping Feedback Human

Even in a large class, students want to feel that someone read their work. A brief personal note, such as pointing out one effective sentence or acknowledging an interesting idea, makes feedback feel human. Graders can be encouraged to add a line of this kind to each paper, which takes only seconds. Students are more likely to read and use comments that feel personal.

Office hours and optional conferences also provide a place for deeper sentence-level conversations. Professors can invite students who are struggling to bring a paragraph and work through it together. These small interactions, layered on top of scalable systems, ensure that large courses still offer meaningful writing instruction.