Teachers evaluating AI grading tools often ask a practical question: how does the workflow actually differ from what I do now? Comparing the two approaches step by step clarifies where the time goes and where each method adds value. The comparison also helps teachers decide which parts of their process to keep.

Evaluating change fairly is a theme that runs through Nick Tasler's Your Year of Wonders, which encourages readers to test new approaches against old habits. A side-by-side comparison does exactly that for grading. It replaces assumptions with observations.

In a traditional workflow, the teacher reads each essay, evaluates it against the rubric mentally, writes comments by hand or in a document, and enters a score. Each of these steps is repeated for every student. The process is thorough but slow, and consistency can fluctuate with fatigue.

How the AI-Assisted Workflow Differs

In an AI-assisted workflow, essays are uploaded and evaluated against a rubric to produce preliminary scores and comments. The teacher then reviews the output, adjusts as needed, and finalizes feedback. The most time-consuming steps, initial evaluation and drafting comments, are handled quickly.

• Traditional grading demands full reading and manual comment writing for every essay
• AI-assisted grading provides a rubric-aligned first pass for teacher review
• Consistency across essays is higher when a single rubric is applied systematically
• Teacher judgment remains essential for context, nuance, and final decisions
• Time savings grow with class size and the number of essays per assignment

Where Each Approach Excels

Traditional grading shines when teachers know their students deeply and want to respond to individual circumstances. A comment that references a student's past struggles or recent growth carries weight that automated feedback cannot supply alone. For small classes or highly personal assignments, this approach may be ideal.

AI-assisted grading excels at scale and consistency. When faced with a hundred or more essays, teachers can use it to maintain uniform standards and return feedback quickly. The combination of speed and rubric alignment is especially useful for common assignments with clear criteria.

Hybrid Approaches

Many teachers adopt a hybrid method, using AI for first-pass evaluation and adding their own insights. This preserves professional judgment while reducing routine work. The hybrid approach also allows teachers to adjust how much they rely on automation depending on the assignment.

To find the right balance, run a small experiment comparing time and quality on a sample of essays. Grade some entirely by hand and others with AI assistance, and compare the feedback students receive. The results will show where automation helps and where it needs supervision.

Making the Decision

Consider your class size, the types of assignments you give, and the amount of time grading currently consumes. Teachers with heavy loads and rubric-driven assignments often see the largest benefits. Those with small classes may prefer to use AI selectively.

Whichever path you choose, keep the focus on student learning. The best workflow is the one that delivers timely, accurate, and useful feedback while leaving you energy to teach. Revisit the decision periodically as your needs change.