Because Foxe's Book of Martyrs is widely discussed online, essays about it are easy to copy, buy, or generate with an AI tool. Teachers who assign these essays worry about whether the work they receive reflects real student thinking. The most reliable response is to design assignments and grading processes that make authentic work easier to produce and easier to recognize.

Detection software is unreliable and can produce false accusations, which damages trust and may harm innocent students. A more dependable strategy is to build assignments around specific, locally grounded tasks, such as analyzing a passage discussed in class or responding to a classmate's argument. Generic prompts invite generic answers, and specific prompts make shortcuts less useful.

Process-based grading offers another safeguard. Collecting notes, outlines, and drafts at multiple stages lets teachers see how an essay developed and notice sudden leaps in quality or style. Students who truly wrote the paper can explain their choices in a short conference, and that conversation often reveals more than any software.

Designing Assignments That Reward Authentic Thinking

Assignments that require students to connect the text to class discussions, personal reasoning, or specific excerpts are harder to outsource. For instance, asking students to argue which of two assigned martyr accounts is more persuasive, and to justify the choice with particular details, demands engagement with the actual reading. A generic summary will not satisfy such a prompt.

• Require quotations from the specific edition used in class
• Collect a brief handwritten or in-class paragraph as a writing sample
• Ask for annotated notes or a reading log alongside the essay
• Hold short conferences where students explain their thesis aloud
• Include prompts that reference classroom discussion or activities

Setting Clear Policies on AI Use

Students need to know what kinds of AI use are allowed and what are not, since expectations vary from teacher to teacher. A policy might permit using AI to brainstorm questions about Foxe but prohibit having it write paragraphs. Writing the policy in plain language and discussing it in class prevents the confusion that leads to accidental violations.

When limited use is permitted, students should be asked to disclose how they used the tool. A short note describing the prompts and what changed in the draft encourages honesty and helps teachers evaluate the student's own contribution. Clear disclosure expectations also normalize responsible use rather than driving it underground.

Responding to Suspected Misuse Fairly

When a teacher suspects misuse, the first step should be a conversation rather than an accusation. Asking the student to talk through their argument and sources often clarifies whether they understand the work. Documentation of that conversation protects both the teacher and the student if the matter escalates.

Departments should agree on consistent procedures so that students are treated equally across classrooms. Written policies, escalation steps, and standards of evidence reduce arbitrary outcomes. Fair processes also help maintain students' trust in the grading system.

Using Grading Tools Without Compromising Trust

Teachers who use AI to assist with grading should be transparent about it, particularly if they also restrict student use. Explaining that the tool applies the rubric and that the teacher reviews every result helps students understand the role technology plays. Honesty about methods models the integrity teachers hope to see.

Rubric-based tools can also reveal patterns that suggest authenticity concerns, such as a sudden change in sophistication between drafts. These observations are only starting points for conversation, never proof. Used carefully, they give teachers one more perspective without replacing human judgment.