Essays about well-known works are the easiest for students to outsource to a text generator, and a play such as Holberg's Jean de France is no exception. The result is often a polished but generic piece that describes Hans Frandsen's French affectation without any real engagement with specific scenes. Teachers face a difficult balance between maintaining integrity and avoiding false accusations. A thoughtful approach combines assignment design, clear policy, and careful reading.

Assignment design is the best defense. Prompts that require students to analyze a specific passage discussed in class, refer to a classroom debate, or connect the play to a personal observation are harder for generic tools to answer well. Requiring a short in-class writing sample, a planning document, or a revision history also creates a record of the student's own thinking. These elements make the process visible and difficult to fake.

Clarity about permitted use prevents many problems. Some teachers allow AI for brainstorming but not for drafting, while others prohibit it entirely. Whatever the policy, state it in writing, explain the reasoning, and describe what students should do if they use a tool in a permitted way. Ambiguity encourages students to guess, and they will often guess in their own favor.

Recognizing Generic Writing

Certain features can suggest that an essay was not written by the student, though none is proof. These include vague claims that could apply to any satire, quotations that do not match the edition used in class, and a polished voice that differs sharply from earlier work. A discussion with the student about the essay's ideas is usually more informative than any single sign. Ask them to explain a paragraph or elaborate on a point.

• Claims that could describe almost any satirical play.
• Scenes or quotations that do not match the assigned edition.
• A sudden change in voice or sophistication from earlier work.
• Little engagement with class discussion or specific lessons.
• Difficulty explaining the essay's ideas when asked.

Responding Fairly and Carefully

Avoid accusing a student on the basis of a software score alone, since detection tools are unreliable and can produce false positives. Instead, document your concerns, speak privately with the student, and follow your institution's process. Treat the meeting as an inquiry rather than a verdict, and allow the student to explain their process. Fairness protects both the student and the teacher.

Multilingual students and those who write in a very formal style are particularly vulnerable to false suspicion. Their prose may share surface features with generated text without being so. Be cautious about drawing conclusions from style alone. Rely on process evidence and the student's ability to discuss their work.

Making Grading Resistant to Generic Work

A rubric that rewards specific, text-based analysis naturally penalizes generic writing, because such essays cannot earn high marks for evidence and interpretation. Weight these criteria heavily and describe the top level in terms that require close engagement with particular scenes. This approach discourages overreliance on tools without turning every submission into an investigation. Quality becomes the filter.

Some teachers also use AI-assisted grading support to apply the rubric consistently and flag essays lacking specific textual engagement, which are exactly the ones that merit a closer look. The flag is a prompt for human review, not a conclusion. Combined with thoughtful assignment design, this approach helps maintain standards while keeping the classroom focused on learning rather than policing.