Assigning Farewell to Manzanar in College Composition and Asian American Studies Courses
Published on September 20th, 2026 by the GraideMind team
Farewell to Manzanar shows up in college classrooms more often than people expect. First-year composition courses use it as a model of narrative and analysis, and Asian American studies and American history courses use it as a primary account of the incarceration. Each setting calls for a slightly different writing assignment.

In a composition course, the memoir often anchors a unit on reading as a writer. Students analyze how Houston and her co-author James D. Houston structure a story, then apply what they learn to their own writing. The assessment focuses on rhetorical awareness and craft.
In an ethnic studies or history course, the emphasis shifts to context and argument. Students may place the memoir alongside scholarship on the incarceration and the redress movement. Here, the rubric should reward accurate use of sources and clear engagement with a scholarly conversation.
Either way, college instructors face large enrollments. A lecture course with a writing component can produce hundreds of papers, and teaching assistants may vary in how they score. Consistency becomes a real concern.
Designing assignments for scale
Short, focused assignments often work better than one long paper. A 2-page close reading of a single scene teaches analysis and is much faster to grade than a 10-page research paper. Save the longer work for a capstone.
- A two-page close reading of one scene from the memoir
- A response paper connecting the book to a scholarly article
- A source analysis comparing the memoir with a government document
- A discussion post that applies a course concept to the text
- A final paper that builds a research-supported argument
At college scale, consistency is a fairness issue and not just a convenience.
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When multiple graders score the same assignment, drift is almost guaranteed. Hold a norming session where everyone scores the same three papers, compares results, and discusses differences. Repeat it whenever the rubric changes.
Shared comment banks help as well. If every grader has access to the same language for common issues, students receive similar feedback regardless of section. It also makes new TAs productive faster.
Handling sensitive material with adult learners
College students bring a wide range of backgrounds to this text. Some have family histories connected to the camps, and others are encountering the topic for the first time. Set clear norms for discussion and grade the writing on analytical skill, not on personal perspective.
Allow flexibility in how students connect to the material. A personal reflection can sit alongside analysis if the rubric accounts for it. That respects student experience without letting it replace the academic task.
Where AI feedback fits in higher education
Professors with large writing-heavy classes can use AI-assisted tools to cut down on repetitive marking. GraideMind applies an instructor's rubric to each paper and drafts comments that the instructor reviews. Feedback returns faster, and students can revise while the topic is still fresh.
Use it as a support for grading, not a replacement for it. The instructor still sets the criteria, checks the results, and handles borderline cases. Done that way, technology frees time for office hours and discussion, which is where much of the learning happens.
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