Using The Fault in Our Stars in College Composition and How to Grade the Writing

Published on September 20th, 2026 by the GraideMind team

Young adult novels have become a legitimate subject in college composition and literature courses, and The Fault in Our Stars is a frequent choice. It is accessible enough for first-year students to read quickly, yet it contains enough complexity to support serious analysis. Professors can use it to teach argument, evidence, and critical reading without the intimidation that older canonical texts sometimes cause. Grading the resulting essays requires the same rigor as any other college writing assignment.

A stack of exam papers waiting to be graded

The assignment should ask for more than a high school analysis. Professors can prompt students to situate the novel within a larger conversation, such as how it represents illness in contemporary fiction or how it engages with romantic conventions. Students might bring in a critical article, a review, or a short theoretical piece to complicate their reading. This expands the task from close reading to research-informed argument.

Because many first-year students arrive with strong feelings about the book, professors may also address the difference between personal response and academic analysis. A short reflective exercise at the start of the unit can help students name their reactions and then set them aside as a starting point for questions. This preserves their engagement while directing it toward scholarly work.

Rubric Expectations at the College Level

A college rubric for this assignment typically includes strands for argument, use of sources, analysis of the primary text, organization, and style and citation. The descriptors expect a more developed thesis, integration of outside sources, and attention to counterarguments. Citation format, such as MLA or APA, becomes part of the assessment. Making these expectations clear at the start prevents confusion and supports academic integrity.

  • An original argument that goes beyond summary and general theme
  • Accurate integration of at least one or two scholarly or critical sources
  • Close reading of specific passages from the novel
  • A structure that supports a sustained argument across several pages
  • Correct citation and a clear, controlled academic style

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A popular text deserves the same rigorous analysis as any other, and the grading standards should reflect that.

Feedback at Scale in Large Sections

Professors teaching large composition sections face significant grading demands. A class of forty students writing a five-page essay produces two hundred pages, and multiple sections multiply that number. Feedback tends to become shorter and more generic as fatigue sets in. Setting a limit on comments and focusing on the highest-priority issues helps maintain quality.

Teaching assistants and graduate instructors often share grading responsibilities, which introduces variation. Norming sessions in which everyone scores the same essays and discusses differences can reduce inconsistency. Shared rubrics and annotated examples support this process. When possible, having multiple graders review a sample of each other's work adds a further check.

Supporting Consistency and Revision

College writing programs increasingly emphasize revision, and a novel like this one can serve as the basis for multi-draft assignments. Early drafts can focus on thesis and evidence, while later drafts refine the argument and integrate sources. Each stage requires feedback, which adds to the workload. Programs that plan for this in advance tend to see stronger final essays.

AI-assisted grading can support instructors and teaching assistants by providing consistent, rubric-based first-pass feedback across all sections. The tool can flag missing thesis statements, weak integration of sources, and citation issues, allowing human graders to spend more time on the quality of argument. Instructors retain responsibility for final grades and can adjust the feedback as needed. This helps writing programs offer timely, uniform feedback at scale.

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