Grade Contact, Not Mechanics

If thinking is perception, and if education is the upward migration of attention, then AI forces a single, unavoidable conclusion:

We have to change what we measure.

Because the old measurement regime was built for a world where polished output required so much labor that we treated labor as evidence of understanding.

That world is gone.

AI makes mechanics cheap. Grammar, formatting, first drafts, summaries, outlines, even stylistic coherence—these can now be produced with minimal effort.

So the question is no longer, “How do we stop students from using AI?”

The question becomes: “What evidence of learning still holds in an AI-saturated world?”

The answer is simpler than academia wants it to be:

Stop grading mechanics. Start grading contact.

What “Contact” Means

Contact is not a vibe. It’s not a personality trait. It’s not “participation.”

Contact is what happens when a student is actually in relationship with the idea.

A student in contact can do things that no tool can do for them in the moment, because the evidence is embodied:

They can explain the idea in their own words without reading.
They can defend it and critique it.
They can identify its assumptions.
They can apply it to a new context.
They can respond to counterarguments intelligently.
They can tell you what the idea changes in how they see the world.

And here’s the key: contact has texture.

There is curiosity, resistance, fascination, skepticism, admiration, discomfort—some genuine stance.

The idea is not merely “known.” It is present.

By contrast, a student without contact can still generate fluency.

They can produce beautiful paragraphs that are empty. Smooth sentences with no friction. Correctness with no intimacy.

AI makes that kind of hollow fluency easier to fake.

Which is why the old grading system collapses.

The Hidden Problem with Mechanical Grading

Most professors don’t truly want to grade commas.

They do it because mechanics used to be the only scalable way to measure seriousness.

Mechanics are convenient proxies.

But proxies become dangerous when they’re easy to counterfeit.

And AI has turned many proxies into theater.

If a professor continues to grade grammar, formatting, and surface fluency as if those are evidence of understanding, two things happen:

First, students rationally optimize for the grade using AI.
Second, faculty become increasingly cynical and adversarial, because they can feel the proxy failing.

That’s the trap.

It produces the exact outcome everyone fears: a classroom full of polished text with fewer students in real relationship with the ideas.

Not because students are worse.

Because the system is measuring the wrong thing.

The Upgrade: Raise the Standard by Moving It Upward

Letting go of mechanics is only acceptable if we raise the bar.

And AI makes raising the bar possible, because it frees time and attention.

This is the moment for higher education to reclaim its real purpose:

Not producing scribes. Producing thinkers—meaning, students who can form and sustain relationship with difficult ideas.

So what do we grade instead?

We grade contact.

We grade relationship.

We grade the student’s ability to carry the idea as a living entity, not as a copied artifact.

What to Grade, Practically

Here are assessment modes that are nearly impossible to fake with AI alone, and that align with what faculty already care about.

  1. Cold Explanation
    After submitting the work, the student must explain the core idea without reading. Two minutes. No slides. No notes.

If they can’t do it, they fail—regardless of how beautiful the paper is.

  1. Assumptions Ledger
    The student must name what must be true for the argument to hold, and what would change their mind.

This forces contact with structure, not surface.

  1. Steelman and Rebuttal
    The student must present the strongest opposing view and respond to it honestly.

This exposes whether the student is relating or reciting.

  1. Transfer Test
    Give a new context and ask: does the idea still hold? How does it mutate? Where does it break?

If they truly understand the idea, they can move it.

If they don’t, it collapses outside the original wording.

  1. Judgment and Taste
    Ask the student to choose between two interpretations, two models, or two explanations—and defend the choice.

AI can generate options. It cannot own judgment for the student.

These methods don’t require surveillance. They don’t require policing. They require a shift in what counts.

The Sentence That Will End the “Cheating” Panic

A professor can say, calmly and honestly:

“I don’t grade how beautiful your sentences are. I grade whether the idea is alive in you.”

That one move changes the entire atmosphere.

Students stop treating AI as a way to hide. They start treating AI as a way to clarify, explore, and deepen.

Because now the grade is not the packaging.

It’s the relationship.

What Happens to Grammar, Then?

This is where people get uncomfortable.

Grammar matters in the way that posture matters to a violinist: it can enable expression, but it is not the goal of music.

For some disciplines—writing-intensive fields, rhetoric, law—precision of language will remain important. But even there, the reason is not “rules.”

The reason is clarity and consequence.

So the future isn’t “no grammar.” The future is:

Stop using grammar as a proxy for intelligence.

If AI can handle basic correctness, then correctness is not the test.

Contact is the test.

And ironically, once grammar is no longer a primary grading weapon, students often become more willing to refine their language—because refinement is now in service of expressing a real idea, not in service of avoiding red ink.

AI Becomes an Accelerator of Relationship

Here is the most important reversal for academia to notice:

AI does not have to reduce thinking. It can intensify it.

A student can use AI to:

Ask for counterarguments.
Find hidden assumptions.
Generate alternative explanations.
Compare frameworks.
Stress-test a thesis.
Clarify what they actually believe.

That is not outsourcing thinking.

That is strengthening contact.

The danger is not using AI.

The danger is using AI as a substitute for relationship—using it to produce text without ever letting the idea touch you.

A well-designed course makes that impossible.

The New Academic Integrity

Academic integrity in the AI era is not “no assistance.”

It’s responsibility for contact.

You can use whatever tools you want. You can draft however you want. You can polish however you want.

But at the end of the day, you must be able to stand in front of another mind and demonstrate that the idea is truly present in you.

Not memorized. Not manufactured. Not pasted.

Present.

That’s not the end of rigor.

That’s the return of rigor.

Author: John Rector

Co-founded E2open with a $2.1 billion exit in May 2025. Opened a 3,000 sq ft AI Lab on Clements Ferry Road called "Charleston AI" in January 2026 to help local individuals and organizations understand and use artificial intelligence. Authored several books: World War AI, Speak In The Past Tense, Ideas Have People, The Coming AI Subconscious, Robot Noon, and Love, The Cosmic Dance to name a few.

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