In a large survey of world literature, Border Town can serve as an accessible entry point into modern Chinese fiction, since it is short and does not demand extensive background. Professors who assign it often want students to write, because analytical writing is how many instructors assess genuine understanding. But a lecture course with one hundred fifty students makes every essay assignment a serious grading commitment.

Teaching assistants are the traditional solution, but they introduce consistency problems. Different graders interpret the same rubric differently, and students notice when the same quality of work receives different scores in different sections. Without careful calibration, a large course can end up with grading variation that undermines the fairness of the assessment.

The first step toward managing scale is designing assignments that fit your capacity. A two-page focused response graded against a tight rubric is often more valuable than a seven-page essay that a grader can only skim. Smaller, more frequent writing tasks also give students more practice and give you earlier signals about who needs help.

Structuring Assignments for Scale

A staged sequence works well in large courses. Start with a short passage analysis on a scene such as the dragon boat festival, move to a thesis-driven argument essay, and finish with a revision of the stronger piece. By grading the revision against growth rather than starting fresh, you reward improvement and reduce the number of entirely new essays you must evaluate.

• A 500-word passage analysis focused on a single scene or image
• A thesis workshop completed in discussion sections with peer feedback
• A 1,200-word argumentative essay graded on a shared rubric
• A short revision memo explaining what the student changed after feedback
• A final exam question that asks students to apply their analysis to a new passage

Calibrating Graders

Before the real grading begins, hold a calibration session in which every grader scores the same three or four sample essays independently. Compare results, discuss disagreements, and revise rubric language where interpretations differ. This hour of work prevents a semester of inconsistent scores and gives teaching assistants confidence that they are applying the same standards.

Spot-check throughout the grading period by re-scoring a random sample of essays yourself. If you find drift, address it immediately rather than waiting for student complaints. Sharing a short list of common errors and how to score them also helps new graders avoid repeating the same decisions on every paper.

Where AI Grading Fits

AI grading assistance is particularly useful in large courses because it applies the same rubric to every essay without fatigue. It can produce a first-pass score and comments aligned to your criteria, which graders then review rather than creating from nothing. This shifts the human effort toward judgment calls and toward students whose work falls on a boundary between score levels.

Be clear in your syllabus about how technology is used in grading and who makes final decisions. Students are more accepting when they understand that a person reviews every grade and that the tool exists to support consistency. Transparency also helps preempt grade disputes, since the rubric language and feedback comments tell students exactly why their work earned its score.