Teachers who assign essays on Ba Jin's Family are increasingly encountering papers that read smoothly but say very little about the actual book. Generative AI tools can produce plausible essays on the novel's themes in seconds, and they tend to rely on broad statements about tradition, oppression, and generational change. The challenge for educators is to respond in a way that protects academic integrity without turning every strong paper into an accusation.

One telltale pattern is generality. An AI-generated essay may mention that the novel criticizes feudal values without referring to a single specific scene, or may refer to events in vague terms that could apply to many books. Papers like this are not necessarily proof of misconduct, but they signal weak engagement with the text and deserve a conversation.

Another pattern is inaccuracy. Language models sometimes invent plot details or confuse characters, attributing Jue Min's choices to Jue Hui or inventing scenes that do not appear in the book. Teachers who know the novel can spot these errors quickly, and a rubric row for accuracy of textual detail gives them a fair basis for lowering the score.

Designing Prompts That Reward Real Reading

Prompts that require specific engagement with the class's version of the text are harder to outsource. Asking students to analyze a particular passage discussed in class, connect it to a classroom activity, or reference a specific edition's page numbers ties the work to the shared experience. Generic prompts invite generic responses.

• Require evidence from specific scenes identified in the prompt
• Ask students to connect their argument to a class discussion or activity
• Include a brief in-class writing component to establish a baseline voice
• Request a short reflection on how the thesis developed
• Use staged submissions such as outlines and drafts with feedback at each step

Responding When You Suspect AI Use

Detection software is unreliable and can produce false positives, so it should not be the sole basis for an accusation. A better approach is to meet with the student and ask them to explain their argument, discuss a scene from the paper, or revise a paragraph on the spot. Genuine authors can usually do this easily, while those who did not write the essay struggle.

Departments should agree in advance on a consistent process, including how evidence is gathered and what consequences follow. Clear policies protect both students and teachers and reduce disputes. They also signal that the school treats the issue seriously and fairly.

Clarifying When AI Use Is Allowed

Many schools now allow limited AI use, such as brainstorming or checking grammar, while prohibiting full essay generation. Students need unambiguous guidance on what is acceptable for each assignment. A short statement in the assignment sheet, such as permitting AI for outlining but not drafting, avoids confusion.

Teachers can also require students to document how they used any permitted tools. A brief note describing the prompts used and how the output was changed encourages transparency. It turns AI use into something that can be discussed rather than hidden.

Using Feedback Tools to Support Authentic Writing

Not all AI use undermines learning. Rubric-based feedback tools that respond to a student's own draft can help them see where their analysis is thin without writing the essay for them. Teachers who guide students toward this kind of use often see better drafts and fewer integrity problems.

The distinction lies in who does the thinking. If the student writes, receives feedback, and revises, the learning remains theirs. Making that process visible through drafts and reflections helps maintain trust in the classroom.