Generative AI has changed how students approach writing assignments, and a well-known play like Children of a Lesser God is easy for a chatbot to summarize and analyze. Teachers now face the question of how to assess authentic student thinking when a polished essay can be produced in minutes. The answer usually involves a mix of clear policy, thoughtful assignment design, and better grading practices.

Start with a written policy that explains what kinds of AI use are permitted, such as brainstorming or checking grammar, and which are not, such as generating full drafts. Students often misunderstand boundaries when policies are vague, which leads to accidental violations. Specific examples of acceptable and unacceptable use reduce confusion and set a clear standard.

Detection software alone is unreliable and can produce false accusations, so teachers should avoid using it as the sole basis for a decision. Instead, rely on a combination of process evidence, familiarity with student voice, and conversation. A short conversation about the essay often reveals quickly whether a student understands their own argument.

Design Assignments That Show Thinking

Assignments that require personal engagement with class discussions, specific scenes discussed in lessons, or drafts submitted in stages are harder to outsource. For example, asking students to respond to an argument made in a Socratic seminar ties the essay to a unique classroom experience. Process artifacts like outlines and revision notes add further evidence of authorship.

• Require a planning outline and a first draft before the final essay
• Tie prompts to specific in-class discussions or scenes analyzed together
• Include a short reflection describing how the student's thinking changed
• Use in-class writing for at least one component of the unit
• Hold brief conferences where students explain their central argument

Grading With AI in Mind

Rubrics can help by emphasizing features that generic AI text tends to lack, such as precise evidence from specific scenes and engagement with class conversations. Essays produced by chatbots often feature broad, safe claims and generic statements that could apply to many works. Rewarding specificity and original interpretation naturally favors authentic student work.

Feedback also matters, because students who receive helpful responses to their own writing are less tempted to bypass the process. When they see feedback as valuable rather than punitive, they invest more effort. A supportive classroom culture is one of the strongest deterrents.

Responding to Suspected Misuse

If you suspect an essay was generated, begin with a private, non-accusatory conversation asking the student to explain their argument and evidence. Refer to your policy rather than making judgments about intent. Document the conversation and follow your school's academic integrity procedures.

Keep in mind that some students will use AI in ways that are allowed but poorly understood, so treat the moment as a chance to clarify expectations. Consistency in how cases are handled builds trust with students and families. Coordinate with colleagues so responses are similar across classrooms.

Using AI Tools on the Teacher Side

Just as students may use AI, teachers can use it responsibly to manage grading workloads. The distinction lies in transparency and accountability, since teachers remain responsible for grades and feedback. Explaining how you use tools, and what remains your judgment, models the ethical practice you expect from students.

Schools benefit when teachers and students alike develop a shared understanding of appropriate AI use. Open discussion helps everyone adapt as the technology evolves. Clear policies and thoughtful assignments protect the value of student writing.