A widely taught novel like A Thousand Splendid Suns is exactly the kind of text that generative AI can write about fluently. Students can request an essay on Mariam's character in seconds, and the output often sounds plausible. Teachers need to think carefully about how to design and grade assignments in this environment.

Detection tools are unreliable, and relying on them can lead to false accusations. A more productive approach focuses on assignment design and process. When assignments require specific evidence, staged drafts, and connections to class discussions, they become harder to outsource and easier to evaluate fairly.

Clear policies are the foundation. Students should know what kinds of AI use are allowed, which are not, and what the consequences are. A policy that is vague or inconsistent invites confusion and unintentional violations.

Designing Assignments That Reveal Student Thinking

Assignments that ask students to draw on specific class activities, such as a Socratic seminar or a journal entry, are harder to replicate with generic AI output. Requiring students to quote particular passages and explain their choices adds another layer of authenticity. Teachers can also ask for brief reflections on the writing process.

• Require staged submissions such as an outline, a draft, and a final paper
• Ask students to connect their analysis to specific class discussions
• Include a short reflection on how the essay developed
• Use some in-class writing to establish a baseline of student voice
• State clearly what AI use, if any, is permitted for the assignment

Grading with Integrity in Mind

When grading, look for signs that the writing reflects the student's own engagement with the text. Generic claims with little textual specificity may signal that the student did not rely on their own reading. Instead of accusing, teachers can start a conversation by asking the student to explain their argument or discuss a passage.

Rubrics that reward specific evidence and original insight naturally penalize generic work. A paper that offers broad statements about suffering without referencing particular scenes would score lower on evidence and analysis. This outcome is based on the quality of the writing, not on suspicion.

Teaching Responsible Use

Some teachers choose to allow limited AI use, such as brainstorming or checking grammar. In these cases, students should be taught how to use the tools responsibly and how to disclose their use. This approach acknowledges reality while preserving the learning goals of the assignment.

Conversations about why original thinking matters can also be effective. Students who understand that the point of the essay is to develop their own analysis are less likely to see shortcuts as helpful. Teachers can frame writing as a skill that benefits them beyond the classroom.

Building a Shared Approach

Departments and schools benefit from a shared approach to AI and academic integrity. Consistent policies, common language, and agreed-upon procedures reduce confusion for students and protect teachers. Regular discussions help the community adapt as technology changes.

Feedback and grading tools that emphasize rubric-based analysis support this effort. They give teachers a consistent way to evaluate the quality of reasoning and evidence. Combined with thoughtful assignment design, they help maintain high standards in a changing landscape.