Teaching assistants often take on grading in their first weeks, with little more preparation than a rubric and a stack of papers. They may be graduate students with strong subject knowledge but no experience evaluating student writing. Variation among TAs becomes a major source of student complaints, and the instructor may be unaware of the problem until grades are in. A short, focused workshop can prevent much of that.

The aim of the training is not to produce identical graders, which is neither possible nor desirable. It is to build a shared understanding of the standard, to teach practical habits for efficient grading, and to help TAs give feedback that students can use. A well-run workshop also signals that the instructor takes grading seriously and is available to support the team. TAs are more likely to ask questions when they feel supported.

A two-hour session is enough for a strong start. It should be hands-on, with TAs working with real student papers and discussing them. Lectures about grading philosophy are far less effective than practice with feedback. Plan the session so that most of the time is spent scoring and talking, and an extra thirty minutes in the second week for questions often helps the lessons stick.

First hour: Calibrate on sample papers

Begin with a brief overview of the course goals, the assignment, and the rubric. Then have TAs read and score two or three sample papers independently, covering a range of quality. Compare scores on a whiteboard and ask people to explain their reasoning, pointing to specific evidence in the papers. Discussion of disagreements is where the learning happens, and keeping the sample papers anonymous lets everyone speak freely about what they see.

• Spend the first hour scoring sample papers independently and discussing differences
• Have TAs rewrite weak comments into specific, actionable ones
• Teach habits such as reading once before scoring and grading by criterion
• Explain clearly which AI tools, if any, TAs may use for grading and what review is required
• Schedule a check-in after the first graded set

Second hour: Practice commenting and efficiency

Next, shift to feedback. Show examples of weak comments, such as good job or needs work, and stronger ones that name a specific strength and next step. Have TAs rewrite weak comments in pairs. Introduce practical habits, such as reading a paper once before scoring, grading by criterion across the set, and using a timer to keep the pace reasonable.

Discuss common pitfalls, including drifting standards, being swayed by early papers, and letting handwriting or formatting affect scores. Offer a simple strategy for each, such as revisiting anchor papers midway through a stack. Remind TAs of fairness concerns, including the need to avoid bias against particular writing styles or dialects. Awareness helps them catch themselves, and normalizing these problems makes TAs more willing to admit when they notice them.

Set expectations for tools and policy

Explain what is expected regarding AI tools, both for students and for grading. Clarify whether TAs may use any rubric-based tool for first-pass drafts, what review is required, and what student data may or may not be shared. If tools are permitted, emphasize that the TA is responsible for every score and comment. Provide a point of contact for questions.

Also explain how to handle suspected misconduct and grade disputes. TAs should know that they should not accuse students or promise outcomes but should document concerns and refer them to the instructor. Clear procedures protect everyone and prevent TAs from being put in difficult positions. Share relevant policies in writing, and a one-page flowchart posted in the shared folder helps new TAs act confidently when a case arises.

Follow up after the workshop

Schedule a check-in after the first set of papers. Have TAs bring a few graded examples to discuss and compare. This is a chance to catch inconsistencies early and to reinforce good practice. Provide feedback to TAs on their comments, just as they give feedback to students, and the conversation usually surfaces small rubric ambiguities that can be fixed before the second assignment.

Collect reflections from the team about what worked and what was confusing, and use them to improve the next workshop. Keep a shared document of decisions and examples that grows over the semester. Over time, the training becomes part of the course's culture. Strong TA training benefits students, TAs, and instructors alike, and the instructor who acts visibly on that feedback earns trust that makes every future semester easier.