Professors assigning The Apprenticeship of Duddy Kravitz in a Canadian literature survey often face a familiar tension. They want to give thoughtful, scholarly feedback, but enrollment numbers and teaching assistant limits make that difficult. A workflow designed around the novel's particular demands can help. The goal is to maintain academic rigor while managing the volume of essays that a popular course generates.

Begin by defining what college-level work on Richler should demonstrate. Expect students to engage with secondary criticism, situate the novel within postwar Canadian and Jewish literature, and avoid relying on plot summary. Putting these expectations in a rubric distributed with the assignment helps first-year students understand how university essays differ from high school work, and it reduces confusion later.

Next, decide how grading responsibilities will be divided. If teaching assistants handle first-pass grading, calibration sessions are essential. Have everyone score three sample essays independently, discuss discrepancies, and revise the rubric language until scores align. This investment prevents the inconsistencies that generate grade disputes and makes feedback feel unified across sections.

Balancing depth and volume

A realistic workflow acknowledges that not every essay can receive a page of commentary. Many professors prioritize depth for a first essay, when students need the most guidance, and use more streamlined rubric-based feedback for later assignments. Another approach is to provide detailed margin comments on one section of each paper, trusting students to extrapolate to the rest.

• Publish a detailed rubric with the assignment sheet
• Run a calibration session with all graders before scoring
• Use shared comment banks for recurring issues
• Reserve extended comments for first drafts and borderline papers
• Offer office hours or short conferences for students who want more depth

Evaluating engagement with scholarship

Research-based essays on Richler introduce another layer of assessment. Students must locate credible criticism, integrate it accurately, and avoid letting other voices overwhelm their own argument. Rubric criteria should distinguish between quoting a critic as decoration and using scholarship to build or challenge a claim, since the latter shows genuine academic engagement.

Watch for common problems such as paraphrasing too closely, citing sources that were never actually read, or misrepresenting a critic's position. Spot checks of a few citations per paper can catch these issues without requiring full verification. Clear policies about citation standards, communicated at the start of the term, make enforcement easier and fairer.

Using technology responsibly

Many professors are cautious about AI in grading, and rightly so, since scholarly judgment cannot be outsourced. However, tools that apply a professor's rubric to produce draft comments can handle the mechanical layer of feedback, such as noting missing thesis development or weak integration of evidence. The professor then reviews and personalizes the output, retaining authority over the final evaluation.

Transparency with students is important. Explain how feedback is generated and reviewed, and emphasize that grades remain the instructor's responsibility. When used openly and carefully, such tools can free time for the interpretive discussions and office-hour conversations that students most value.

Designing assignments that scale

Assignment design affects grading load as much as grading method. Focused prompts, such as analyzing a specific chapter's treatment of ambition, produce more comparable essays than open-ended prompts, which makes rubric application easier. Staged assignments, with a proposal, outline, and final paper, spread the workload and catch problems early.

Consider also whether every assignment must be a long essay. Short analytical responses graded with a streamlined rubric can build skills efficiently, reserving longer papers for the capstone of the unit. A thoughtful mix of assignment types gives students varied practice while keeping the grading burden manageable for instructors.