In 1970, Ken Macrorie was approached by the journal Research in the Teaching of English. They asked him to review a study. Its purpose “was to find out if computers could analyze and evaluate students’ essays as well as teachers do” (4). To his surprise, Macrorie discovered that on issues of organization, the computer performed as well as any teacher. It also matched the teachers on style and mechanics. When writing about this program, which he named Percival, Macrorie noted that it knew how to recognize a good essay as one with “a variety of sentence structures, frequent long sentences (with dependent clauses and other clearly realized relationships, a title (many papers did not carry titles), frequent paragraphing, few apostrophes, few spelling errors, many connective words, many commas and parentheses marks” (4)
If what Percival can analyze is all we are looking for, Macrorie argued, then we’re in for a really dull time as writing teachers. Macrorie spent the remainder of his career creating classroom environments that allowed students the “freedom to follow the direction of one’s own thought” coupled with “discipline of engaging others’ responses to it.” Macrorie’s classes were workshop-driven, spontaneous, and creative. They were meaningful in both content and genre. By all accounts, they were driven by this two part principle of freedom and discipline.
Macrorie’s optimistic vision had an effect on the field of writing studies and on the teaching of writing. However, on the whole, his nightmare has come true. Whether graded by humans or by machines, a whole bureaucracy of assessment that evaluates student writing based on organization, style, and mechanics has been imposed on the primary, secondary, and post-secondary writing landscape. Even though the field of writing studies continues to look for ways to emphasize process over product, this bureaucracy still constitutes the majority of what students do when they write “in school.”
Now, 55 years later, we confront the offspring of Macrorie’s nightmare. Large language models like ChatGPT (which I’ve named “Chad”) excel in writing well- structured essays. They demonstrate an impressive degree of sophisticated syntax and grammatical clarity. However, they have little to no mastery of content or personal voice. In other words, the tech industry has given us a machine that can generate exactly the kind of bullshit that automated scorers, both human and nonhuman, value.
And this value undermines what it means to write and to teach writing. Sure, LLMs can take care of the dirty work of generating emails, proposals, reports and more controversially (at least for us) drafts of rhetorical analysis essays, but this fact only helps a certain kind of user, a person who knows that what it’s going to produce is a kind of bullshit. “But, hey, if it gives me what I need, what difference does it make? If this is all you want, an empty response, report, or surface level analysis of a Nike ad using the terms ethos, logos, and pathos, then why shouldn’t I press the button?”
But assuming that we have not already jumped to the conclusion that AI use is inevitable, we are likely still looking for ways to reinscribe a now lost process in the teaching of writing, not necessarily recognizing that students already carried around in their minds preset structures that worked exactly like Chad, structures like the five paragraph theme that can generate drafts without much thought, which is just to say that AI only underscores the reasons that administration fails to understand the teaching of writing.
Administration has always failed to understand the teaching of writing because even when they do understand, someone above them can’t afford to! (I’ve been an administrator. I’ve confronted this impossibility firsthand!) But now we find ourselves, as writing teachers, looking at arguments from above like “good use of AI is critical to the success of our students and to us” and we are asked to teach the good use of AI in addition to the teaching of writing.
The truth is, though, that the use of AI, or even non-use of it, is not the point. The point is giving students the freedom to follow the direction of their own minds and the discipline of being accountable to the other. The first half (freedom) is not all that difficult for administrators, though in the age of AI it raises problems for teachers that I will write about later.
The second half (accountability), can only be brought about when a student shares a draft with a real body (or bodies), and it’s feedback from a real, present body that matters, whether there is AI use or not. But the problem that administration doesn’t want to say out loud is: presence is expensive.


