Tag: teaching

  • Colonel Lockjaw and the Cosplay Watches of the Soul

    Colonel Lockjaw and the Cosplay Watches of the Soul

    If I had to confess to one of my worst flaws, it would be this: I’m a virtuoso at diagnosing other people’s defects and a coward when it comes to inspecting my own. I can spot hypocrisy at fifty paces, write a character analysis of your blind spots, and deliver a withering critique of your moral laziness—while remaining blissfully obtuse about the same diseases raging in me. It’s not insight. It’s evasion. Instead of interrogating my own failures, I distract myself by putting others on trial.

    The hypocrisy deepens because I despise people who refuse self-interrogation. Over the years I’ve kept my distance from plenty of them—friends, colleagues, acquaintances—because their lack of self-awareness felt repellent. I judged them for their blindness without noticing I was practicing the same sin with better vocabulary. My watch hobby was an early case study in this delusion. I spent years buying grotesquely oversized timepieces—wrist-mounted monuments to masculine cosplay. In my private fantasy, I was Sean Penn starring as Colonel Lockjaw. In reality, I was a middle-aged man dodging a mirror. Why confront a crisis of purpose when you can drop five hundred dollars on a costume watch and call it identity?

    Eventually I sobered up—sold the ridiculous pieces, learned what real watches are, and cleared out my collection the way a dieter purges Doritos and Twinkies. But the damage was done: I’d wasted three years of a hobby because I refused to ask what my compensation phase said about me. I demanded self-interrogation from everyone else. I granted myself a permanent exemption. Do as I say, not as I do—the oldest creed of the unexamined life.

    That failure has been haunting me lately, triggered by a memory from thirty-five years ago: an English Department meeting that turned into a circus. I was a young instructor, terrified of tenure committees and power hierarchies, sitting quietly while the veterans argued about whether personal narratives belonged in college writing. One professor—let’s call him Foghorn Leghorn—was a legendary drunk who showed up to meetings in a black leather bomber jacket and a cloud of whiskey fumes. With disheveled silver hair and black horn-rimmed glasses, he declared that personal narratives were “sissy” assignments and that students needed “real-life” skills like argument and analysis. Susan, a colleague with more backbone than the rest of us combined, said that autobiographical writing gave students something called “personal enrichment.” Foghorn exploded. “What the hell does that mean?” he barked. “Personal enrichment? What the hell does that mean?” Susan backed down—not because she was wrong, but because there’s no winning an argument with a belligerent man auditioning for his own demolition.

    Back then, I kept my mouth shut. I was young. I was a lecturer on a non-tenure track. I was scared. But in the decades since, I’ve had time to think about Susan’s phrase. Personal enrichment. What does it mean—and should I, as a writing teacher, care? The answer is yes, and yes again. Personal enrichment is the cultivation of skills no standardized test can measure: moral clarity, self-honesty, the courage to look at yourself without flinching. In other words, self-interrogation.

    I learned that lesson early in my career without knowing what to call it. Around the same time Foghorn was grandstanding, I assigned a definition essay on passive-aggressive behavior. Students had to begin with a brutal thesis—passive aggression as cowardly hostility—then unpack its traits and finish with a personal narrative. I wanted them to stop admiring dysfunction as cleverness. The best essay came from a nineteen-year-old whose beauty could’ve launched a sitcom. She wrote about her boyfriend, a man who looked like life had given up on him. He was unemployed, proudly unwashed, and permanently horizontal—camped in her parents’ living room like a hostile occupier. He drank her father’s beer, ate his food, parked himself in his chair, and stank up the furniture with equal enthusiasm. Her parents hated him. Especially her father. And that was the point.

    She resented her father’s authority, so she punished him the only way she knew how—by sabotaging herself. Romantic self-destruction as revenge. When we discussed the essay, she told me something I’ve never forgotten: writing it forced her to see her behavior with unbearable clarity. She kicked the boyfriend out. Then, clumsily but honestly, she confronted her father. A personal narrative—mocked by my alcoholic colleague—did what no grading rubric ever could. It changed a life.

    Fifteen years later, I assigned another narrative, this one inspired by Viktor Frankl’s Man’s Search for Meaning. I asked students to write about a moment when tragedy forced them to choose between self-pity and courage. The finest essay came from a young mother who’d been abandoned by her own mother at two years old. She grew up with a hole in her heart, then gave birth to a daughter and decided she would be the mother she never had. In loving her child, she learned to love herself. I’ve taught for nearly forty years. Her story has moved me more than anyone’s.

    That’s why I assign personal narratives more than ever. Not just because they resist AI shortcuts, but because they demand moral inventory. And here’s the final irony: Foghorn Leghorn—the loudest critic of self-examination—was the man who needed it most. Last I heard, he’d burned down his kitchen while making dinner, lost his family, and was holed up in a cheap hotel drinking himself toward oblivion. The mansplainer who sneered at Susan ended up a tragic footnote in his own cautionary tale. I hope he found sobriety. If he did, it began where it always does—with honest self-interrogation.

    As for me, I’ll keep assigning personal narratives. I’ll keep asking students to look inward with courage. And I’ll keep reminding myself that the hardest essays to write are not on the syllabus. They’re the ones you compose silently, about your own life, when no one is grading you.

  • The Sleepwalking Student: Why Friction, Not Optimization, Reawakens Learning

    The Sleepwalking Student: Why Friction, Not Optimization, Reawakens Learning

    Academic Anhedonia is what it feels like to keep advancing through your education while feeling absolutely nothing about it. The assignments get done. The rubrics are satisfied. The credentials inch closer. And yet curiosity never sparks, pride never arrives, and learning registers as a faint neurological hum—like an appliance left on in another room. You move forward without momentum, effort without appetite. AI language machines make this easier, smoother, quieter. The result is not rebellion but compliance: efficient, bloodless, and hollow.

    When I started teaching college writing in the 1980s, this condition didn’t exist. Back then, I suffered from a different affliction: the conviction that I was destined to be the David Letterman of higher education—a twenty-five-year-old irony specialist armed with a chalkboard, a raised eyebrow, and impeccable timing. For a while, the bit landed. A well-placed joke could levitate a classroom. Students laughed. I mistook that laughter for learning. If I could entertain them, I told myself, I could teach them. For two decades, I confused engagement with applause and thought I was winning.

    That illusion began to crack around 2012. Phones lit up like votive candles. Attention splintered. Students weren’t bored; they were overclocked—curating identities, performing themselves, measuring worth in metrics. They ran hot: anxious, stimulated, desperate for recognition. Teaching became a cage match with the algorithm. Still, those students were alive. Distracted, yes—but capable of obsession, outrage, infatuation. Their pulses were fast. Their temperatures high.

    What we face now is colder. Around 2022, a different creature arrived. Not overstimulated, but under-responsive. Years of screen saturation, pandemic isolation, dopamine-dense apps, and frictionless AI assistance collapsed the internal reward system that once made discovery feel electric. This isn’t laziness. It’s learning-specific anhedonia. Students can assemble essays, follow scaffolds, and march through rubrics—but they do it like sleepwalkers. Curiosity is muted. Persistence is brittle. Critical thinking arrives pre-flattened, shrink-wrapped, and emotionally inert.

    The tragedy isn’t inefficiency; it’s emptiness. Today’s classrooms hum with quiet productivity and emotional frost—cognition without hunger, performance without investment, education stripped of its pulse.

    If there is a way forward, it won’t come from louder performances, cleverer prompts, or better optimization. Those are the same tools that bleached learning in the first place. Academic anhedonia cannot be cured with stimulation. It requires friction: slow reading that refuses to skim, sustained writing that will not autocomplete itself, intellectual solitude that feels mildly wrong, and work that denies the cheap dopamine hit of instant payoff. The cure is not novelty but depth; not entertainment but seriousness. Struggle isn’t a design flaw. It is the design.

    To interrupt academic anhedonia, I use an AI-resistant assignment that reintroduces cost, memory, and embodiment: The Transformative Moment. Students write 400–500 words about an experience that altered the trajectory of their lives. The assignment demands sensory precision—the one domain where AI reliably produces fluent oatmeal. It insists on transformation, which is what education is supposed to enact. And it drags students back into lived experience, away from the anesthetic glow of screens.

    I offer a model from my own life. When I was sixteen, visiting my recently divorced father, he asked what I planned to do after high school. I told him—without irony—that I intended to become a garbage man so I could finish work early and train at the gym all day. He laughed, then calmly informed me that I would go to college and join the professional class because I was far too vain to tell people at cocktail parties that I collected trash for a living. In that instant, I knew two things: my father knew me better than I knew myself, and my future had just been decided. I walked out of that conversation college-bound, whether I liked it or not.

    I tell them about a friend of mine, now a high school principal, who has been a vegetarian since his early twenties. While working at a deli during college, he watched a coworker carve into a bleeding slab of roast beef. In that moment—knife slicing, flesh yielding—something inside him snapped shut. He knew he would never eat meat again. He hasn’t. Transformation can be instantaneous. Conversion doesn’t always send a memo.

    My final example is a fireman I trained with at a gym in the 1970s. He was a recent finalist in the Mr. California bodybuilding contest: blond shag, broom-thick mustache, horn-rimmed glasses—Clark Kent with a bench press habit. One afternoon, after repping over three hundred pounds, he stood before the mirror, flexed his chest, and watched his muscles swell like they were auditioning for their own sitcom. “When I first saw Arnold,” he said, reverent, “I felt I was in the presence of the Lord. ‘There stands the Messiah,’ I said to myself. ‘There stands God Almighty come to bring good cheer to this world.’”

    He wasn’t speaking only for himself. He spoke for all of us. We wanted to be claimed by something larger than our small, awkward lives. Arnold was the messiah—the Pied Piper of Pecs—leading us toward the promised land of biceps, triceps, and quads capable of crushing produce.

    I assign The Transformative Moment because I want students to recreate an experience no machine can counterfeit. I want them to remember that education is not credential management but metamorphosis. And I want them to interrogate the conditions under which real change occurred in their lives—what they were paying attention to, what they risked, what it cost.

    Transformation—actual forward movement—is the antidote to anhedonia. And it cannot be outsourced.

  • How Real Writing Survives in the Age of ChatGPT

    How Real Writing Survives in the Age of ChatGPT

    AI-Resistant Pedagogy is an instructional approach that accepts the existence of generative AI without surrendering the core work of learning to it. Rather than relying on bans, surveillance, or moral panic, it redesigns courses so that thinking must occur in places machines cannot fully inhabit: live classrooms, oral exchanges, process-based writing, personal reflection, and sustained human presence. This pedagogy emphasizes how ideas are formed—not just what is submitted—by foregrounding drafting, revision, discussion, and decision-making as observable acts. It is not AI-proof, nor does it pretend to be; instead, it makes indiscriminate outsourcing cognitively unrewarding and pedagogically hollow. In doing so, AI-resistant pedagogy treats technology as a background condition rather than the organizing principle of education, restoring friction, accountability, and intellectual agency as non-negotiable features of learning.

    ***

    Carlo Rotella, an English writing instructor at Boston College, refuses to go the way of the dinosaurs in the Age of AI Machines. In his essay “I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse,” he explains that he doesn’t lecture much at all. Instead, he talks with his students—an endangered pedagogical practice—and discovers something that flatly contradicts the prevailing moral panic: his students are not freeloading intellectual mercenaries itching to outsource their brains to robot overlords. They are curious. They want to learn how to write. They want to understand how tools work and how thinking happens. This alone punctures the apocalyptic story line that today’s students will inevitably cheat their way through college with AI while instructors helplessly clutch their blue books like rosary beads.

    Rotella is not naïve. He admits that any instructor who continues teaching on autopilot is “sleepwalking in a minefield.” Faced with Big Tech’s frictionless temptations—and humanity’s reliable preference for shortcuts—he argues that teachers must adapt or become irrelevant. But adaptation doesn’t mean surrender. It means recommitting to purposeful reading and writing, dialing back technological dependence, and restoring face-to-face intellectual community. His key distinction is surgical and useful: good teaching isn’t AI-proof; it’s AI-resistant. Resistance comes from three old-school but surprisingly radical moves—pen-and-paper and oral exams, teaching the writing process rather than just collecting finished products, and placing real weight on what happens inside the classroom. In practice, that means in-class quizzes, short handwritten essays, scaffolded drafting, and collaborative discussion—students learning how to build arguments brick by brick instead of passively absorbing a two-hour lecture like academic soup.

    Personal narrative becomes another line of defense. As Mark Edmundson notes, even when students lean on AI, reflective writing forces them to feed the machine something dangerously human: their own experience. That act alone creates friction. In my own courses, students write a six-page research paper on whether online entertainment sharpens or corrodes critical thinking. The opening paragraph is a 300-word confession about a habitual screen indulgence—YouTube, TikTok, a favorite creator—and an honest reckoning with whether it educates or anesthetizes. The conclusion demands a final verdict about their own personal viewing habits: intellectual growth or cognitive decay? To further discourage lazy outsourcing, I show them AI-generated examples in all their hollow, bloodless glory—perfectly grammatical, utterly vacant. Call it AI-shaming if you like. I call it a public service. Nothing cures overreliance on machines faster than seeing what they produce when no human soul is involved.

  • Everyone in Education Wants Authenticity–Just Not for Themselves

    Everyone in Education Wants Authenticity–Just Not for Themselves

    Reciprocal Authenticity Deadlock names the breakdown of trust that occurs when students and instructors simultaneously demand human originality, effort, and intellectual presence from one another while privately relying on AI to perform that very labor for themselves. In this condition, authenticity becomes a weapon rather than a value: students resent instructors whose materials feel AI-polished and hollow, while instructors distrust students whose work appears frictionless and synthetic. Each side believes the other is cheating the educational contract, even as both quietly violate it. The result is not merely hypocrisy but a structural impasse in which sincerity is expected but not modeled, and education collapses into mutual surveillance—less a shared pursuit of understanding than a standoff over who is still doing the “real work.”

    ***

    If you are a college student today, you are standing in the middle of an undeclared war over AI, with no neutral ground and no clean rules of engagement. Your classmates are using AI in wildly different ways: some are gaming the system with surgical efficiency, some are quietly hollowing out their own education, and others are treating it like a boot camp for future CEOhood. From your desk, you can see every outcome at once. And then there’s the other surprise—your instructors. A growing number of them are now producing course materials that carry the unmistakable scent of machine polish: prose that is smooth but bloodless, competent but lifeless, stuffed with clichés and drained of voice. Students are taking to Rate My Professors to lodge the very same complaints teachers have hurled at student essays for years. The irony is exquisite. The tables haven’t just turned; they’ve flipped.

    What emerges is a slow-motion authenticity crisis. Teachers worry that AI will dilute student learning into something pre-chewed and nutrient-poor, while students worry that their education is being outsourced to the same machines. In the worst version of this standoff, each side wants authenticity only from the other. Students demand human presence, originality, and intellectual risk from their professors—while reserving the right to use AI for speed and convenience. Professors, meanwhile, embrace AI as a labor-saving miracle for themselves while insisting that students do the “real work” the hard way. Both camps believe they are acting reasonably. Both are convinced the other is cutting corners. The result is not collaboration but a deadlock: a classroom defined less by learning than by a mutual suspicion over who is still doing the work that education is supposed to require.

  • How to Resist Academic Nihilism

    How to Resist Academic Nihilism

    Academic Nihilism and Academic Rejuvenation

    Academic Nihilism names the moment when college instructors recognize—often with a sinking feeling—that the conditions students need to thrive are perfectly misaligned with the conditions they actually inhabit. Students need solitude, friction, deep reading and writing, and the slow burn of intellectual curiosity. What they get instead is a reward system that celebrates the surrender of agency to AI machines; peer pressure to eliminate effort; and a hypercompetitive, zero-sum academic culture where survival matters more than understanding. Time scarcity all but forces students to offload thinking to tools that generate pages while quietly draining cognitive stamina. Add years of screen-saturated distraction and a near-total deprivation of deep reading during formative stages, and you end up with students who lack the literacy baseline to engage meaningfully with writing prompts—or even to use AI well. When instructors capitulate to this reality, they cease being teachers in any meaningful sense. They become functionaries who comply with institutional “AI literacy policies,” which increasingly translate to a white-flag admission: we give up. Students submit AI-generated work; instructors “assess” it with AI tools; and the loop closes in a fog of futility. The emptiness of the exchange doesn’t resolve Academic Nihilism—it seals it shut.

    The only alternative is resistance—something closer to Academic Rejuvenation. That resistance begins with a deliberate reintroduction of friction. Instructors must design moments that demand full human presence: oral presentations, performances, and live writing tasks that deny students the luxury of hiding behind a machine. Solitude must be treated as a scarce but essential resource, to be rationed intentionally—sometimes as little as a protected half-hour of in-class writing can feel revolutionary. Curiosity must be reawakened by tethering coursework to the human condition itself. And here the line is bright: if you believe life is a low-stakes, nihilistic affair summed up by a faded 1980s slogan—“Life’s a bitch; then you die”—you are probably in the wrong profession. But if you believe human lives can either wither into Gollumification or rise toward higher purpose, and you are willing to let that belief inform your teaching, then Academic Rejuvenation is still possible. Even in the age of AI machines.

  • Why College Writing Instructors Must Teach the Self-Interrogation Principle

    Why College Writing Instructors Must Teach the Self-Interrogation Principle

    Self-Interrogation Principle

    noun

    The Self-Interrogation Principle holds that serious writing inevitably becomes a moral act because precise language exposes self-deception and forces individuals to confront their own motives, evasions, and contradictions. Rather than treating personal narrative as therapeutic indulgence or sentimental “enrichment,” this principle treats it as an instrument of clarity: when students articulate their behavior accurately, dysfunctional patterns lose their charm and become difficult to sustain. The aim is not confession for its own sake, nor a classroom turned talk show, but disciplined self-examination that collapses euphemism and replaces clever rationalization with honest reckoning. In this view, education cannot operate in a moral vacuum; teaching students how to think, argue, and write necessarily involves teaching them how to see themselves clearly. In the AI Age—when both cognitive labor and moral discomfort can be outsourced—the Self-Interrogation Principle insists that growth requires personal presence, linguistic precision, and the courage to endure what one discovers once illusion gives way to understanding.

    ***

    Thirty years ago, I assigned what now feels like a reckless little time bomb: a five-page extended definition essay on the term passive-aggressive. Students had to begin with a single, unsparing sentence—passive-aggressive behavior as an immature, cowardly, indirect way of expressing hostility—then unpack four or five defining traits and, finally, illustrate the concept with a personal chronicle. The goal was not linguistic finesse. It was exposure. I wanted students to stop admiring passive aggression as coy, clever, or emotionally sophisticated and see it instead for what it is: dysfunction with good PR.

    One essay has stayed with me for three decades. It came from a stunning nineteen-year-old who could have easily assembled a respectable boyfriend the way most people order coffee. Instead, she chose the town slob. He was twenty-six, unemployed by conviction, and committed to the craft of professional bumming. He was proudly unwashed, insufferably pungent, and permanently horizontal. He spent his days in her parents’ living room—drinking her father’s favorite beer, eating his snacks, parking himself in his favorite chair, and monopolizing the television like a hostile takeover. He belched. He cackled. He stank. And all the while, his girlfriend watched with satisfaction as her father’s misery fermented. She resented her father—another strong-willed soul who refused to bend—and rather than confront him directly, she opted for a scorched-earth tactic: ruin her own romantic prospects to punish him. Bite my nose to spite your face, weaponized.

    I remember her sitting across from me in my office as I read the essay, half-imagining it as a dark sitcom pilot. But there was nothing cute about it. When we talked, she told me that writing the essay forced her to see the ugliness of what she was doing with unbearable clarity. The realization filled her with such self-disgust that she ejected the boyfriend from her parents’ house and attempted, awkwardly but honestly, to confront her father directly. The assignment did two things no rubric could measure. It made her interrogate her own character, and it precipitated a real, irreversible change in her life.

    Thirty years later, I’m still unsure what to make of that. I’m gratified, of course—but uneasy. Is it my job to turn a writing class into a daytime talk show, where students inventory their neuroses and emerge “healed”? Is moral reckoning an accidental side effect of good pedagogy, or an unavoidable one?

    My answer, uncomfortable though it may be, is that a writing class cannot exist in a moral vacuum. Character matters. The courage to examine one’s own failures matters. Writing things down with enough precision that self-deception collapses under its own weight matters. Whether I like it or not, I have to endorse what I now call the Self-Interrogation Principle. Students do not come to class as blank slates hungry only for skills. They arrive starved for moral clarity—about the world and about themselves. And when language sharpens perception, perception sometimes demands change.

    I’m reminded of a department meeting in the early nineties where faculty were arguing over the value of assigning personal narratives. One professor defended them by saying they led to “personal enrichment.” A colleague—an infamous alcoholic, who sulked at meetings in his black leather jacket, appeared to be drunk at the table—exploded. “Personal enrichment? What the hell does that even mean?” he shouted as his spittle flew across the room. “Just another woeful cliché. Are you not ashamed?” The woman shrank into her chair, the meeting moved on, and the words personal enrichment was quietly banished. Today, in the AI Age, I will defend it without apology. That student’s essay was enriching in the only sense that matters: it helped a young adult grow up.

    I am not proposing that every assignment resemble an episode of Oprah. But one or two assignments that force honest self-examination have enormous value. They remind us that writing is not merely a transferable skill or a vocational tool. It is a means of moral reckoning. You cannot outsource that reckoning to a machine, and you cannot teach writing while pretending it doesn’t exist. If we are serious about education, we have to teach the Total Person—or admit we are doing something else entirely.

  • The New Role of the College Instructor: Disruption Interpreter

    The New Role of the College Instructor: Disruption Interpreter

    Disruption Interpreter

    noun

    A Disruption Interpreter is a teacher who does not pretend the AI storm will pass quickly, nor claim to possess a laminated map out of the wreckage. Instead, this instructor helps students read the weather. A Disruption Interpreter names what is happening, explains why it feels destabilizing, and teaches students how to think inside systems that no longer reward certainty or obedience. In the age of AI, this role replaces the old fantasy of professorial authority with something more durable: interpretive judgment under pressure. The Disruption Interpreter does not sell reassurance. He sells literacy in chaos.

    ***

    In his essay “The World Still Hasn’t Made Sense of ChatGPT,” Charlie Warzel describes OpenAI as a “chaos machine,” and the phrase lands because it captures the feeling precisely. These systems are still young, still mutating, constantly retraining themselves to score higher on benchmarks, sound more fluent, and edge out competitors like Gemini. They are not stabilizing forces; they are accelerants. The result is not progress so much as disruption.

    That disruption is palpable on college campuses. Faculty and administrators are not merely unsure about policy; they are unsure about identity. What is a teacher now? What is an exam? What is learning when language itself can be summoned instantly, convincingly, and without understanding? Lurking beneath those questions is a darker one: is the institution itself becoming an endangered species, headed quietly toward white-rhino status?

    Warzel has written that one of AI’s enduring impacts is to make people feel as if they are losing their grip, confronted with what he calls a “paradigm-shifting, society-remaking superintelligence.” That feeling of disorientation is not a side effect; it is the main event. We now live in the Age of Precariousness—a world perpetually waiting for a shoe to drop. Students have no clear sense of what to study when career paths evaporate mid-degree. Older generations watch familiar structures dissolve and struggle to recognize the world they helped build. Even the economy feels suspended between extremes. Will the AI bubble burst and drag markets down with it? Or will it continue inflating the NASDAQ while hollowing out everything beneath it?

    Amid this turbulence, Warzel reminds us of something both obvious and unsettling: technology has never really been about usefulness. It has been about selling transformation. A toothbrush is useful, but it will never dominate markets or colonize minds. Build something, however, that makes professors wonder if they will still have jobs, persuades millions to confide in chatbots instead of therapists, hijacks attention, rearranges spreadsheets, and rewires expectations—and you are no longer making a tool. You are remaking reality.

    In a moment where disruption matters more than solutions, college instructors cannot credibly wear the old costume of authority and claim to know where this all ends. We do not have a clean exit strategy or a proven syllabus that leads safely out of the jungle. We are more like Special Ops units cut off from command, scavenging parts, building and dismantling experimental aircraft while under fire, hoping the thing flies before it catches fire. Students are not passengers on this flight; they are co-builders. This is why the role of the Disruption Interpreter matters. It names the condition honestly. It helps students translate chaos machines into intelligible frameworks without pretending the risks are smaller than they are or the answers more settled than they feel.

    In a college writing class, this shift has immediate consequences. A Disruption Interpreter redesigns the course around friction, transparency, and judgment rather than polished output. Assignments that reward surface-level fluency are replaced with ones that expose thinking: oral defenses, annotated drafts, revision histories, in-class writing. These structures make it difficult to silently outsource cognition to AI without consequence. The instructor also teaches students how AI functions rhetorically, treating large language models not as neutral helpers but as persuasive systems that generate plausible language without understanding. Students must analyze and revise AI-generated prose, learning to spot its evasions, its false confidence, and its tendency to sound authoritative while saying very little.

    Most importantly, evaluation itself is recalibrated. Correctness becomes secondary to agency. Students are graded on the quality of their decisions: what they chose to argue, what they rejected, what they revised, and why. Writing becomes less about producing clean text and more about demonstrating authorship in an age where text is cheap and judgment is scarce. One concrete example is the Decision Rationale Portfolio. Alongside an argumentative essay, students submit a short dossier documenting five deliberate choices: a claim abandoned after research, a source rejected and justified, a paragraph cut or reworked, a moment when they overruled an AI suggestion, and a risk that made the essay less safe but more honest. A mechanically polished essay paired with thin reasoning earns less credit than a rougher piece supported by clear, defensible decisions. The grade reflects discernment, not sheen.

    The Disruption Interpreter does not rescue students from uncertainty; he teaches them how to function inside it. In an era defined by chaos machines, precarious futures, and seductive shortcuts, the task of education is no longer to transmit stable knowledge but to cultivate judgment under unstable conditions. Writing classes, reimagined this way, become training grounds for intellectual agency rather than production lines for compliant prose. AI can assist with language, speed, and simulation, but it cannot supply discernment. That remains stubbornly human. The Disruption Interpreter’s job is to make that fact unavoidable, visible, and finally—inescapable.

  • Gollumification

    Gollumification

    Gollumification

    noun

    Gollumification names the slow moral and cognitive decay that occurs when a person repeatedly chooses convenience over effort and optimization over growth. It is what happens when tools designed to assist quietly replace the very capacities they were meant to strengthen. Like Tolkien’s Gollum, the subject does not collapse all at once; he withers incrementally, outsourcing judgment, agency, and struggle until what remains is a hunched creature guarding shortcuts and muttering justifications. Gollumification is not a story about evil intentions. It is a story about small evasions practiced daily until the self grows thin, brittle, and dependent.

    ***

    Washington Post writer Joanna Slater reports in “Professors Are Turning to This Old-School Method to Stop AI Use on Exams” that some instructors are abandoning written exams in favor of oral ones, forcing students to demonstrate what they actually know without the benefit of algorithmic ventriloquism. At the University of Wyoming, religious studies professor Catherine Hartmann now seats students in her office and questions them directly, Socratic-style, with no digital intermediaries to run interference. Her rationale is blunt and bracing. Using AI on exams, she tells students, is like bringing a forklift to the gym when your goal is to build muscle. “The classroom is a gymnasium,” she explains. “I am your personal trainer. I want you to lift the weights.” Hartmann is not being punitive; she is being realistic about human psychology. Given a way to cheat ourselves out of effort—or out of a meaningful life—we will take it, not because we are corrupt, but because we are wired to conserve energy. That instinct once helped us survive. Now it quietly betrays us. A cheated education becomes a squandered one, and a squandered life does not merely stagnate; it decays. This is how Gollumification begins: not with villainy, but with avoidance.

    I agree entirely with Hartmann’s impulse, even if my method would differ. I would require students to make a fifteen-minute YouTube video in which they deliver their argument as a formal speech. I know from experience that translating a written argument into an oral one exposes every hollow sentence and every borrowed idea. The mind has nowhere to hide when it must speak coherently, in sequence, under the pressure of time and presence. Oral essays force students to metabolize their thinking instead of laundering it through a machine. They are a way of banning forklifts from the gym—not out of nostalgia, but out of respect for the human organism. If education is meant to strengthen rather than simulate intelligence, then forcing students to lift their own cognitive weight is not cruelty. It is preventive medicine against the slow, tragic, and all-too-modern disease of Gollumification.

  • Academic Anedonia: A Tale in 3 Parts

    Academic Anedonia: A Tale in 3 Parts

    Academic Anhedonia

    noun

    Academic Anhedonia is the condition in which students retain the ability to do school but lose the capacity to feel anything about it. Assignments are completed, boxes are checked, credentials are pursued, yet curiosity never lights up and satisfaction never arrives. Learning no longer produces pleasure, pride, or even frustration—just a flat neurological neutrality. These students aren’t rebellious or disengaged; they’re compliant and hollow, moving through coursework like factory testers pressing buttons to confirm the machine still turns on. Years of algorithmic overstimulation, pandemic detachment, and frictionless AI assistance have numbed the internal reward system that once made discovery feel electric. The result is a classroom full of quiet efficiency and emotional frost: cognition without appetite, performance without investment, education stripped of its pulse.

    ***

    I started teaching college writing in the 80s under the delusion that I was destined to be the David Letterman of higher education—a twenty-five-year-old ham with a chalkboard, half-professor and half–late-night stand-up. For a while, the act actually worked. A well-timed deadpan joke could mesmerize a room of eighteen-year-olds and soften their outrage when I saddled them with catastrophically ill-chosen books (Ron Rosenbaum’s Explaining Hitler—a misfire so spectacular it deserves its own apology tour). My stories carried the class, and for decades I thought the laughter was evidence of learning. If I could entertain them, I told myself, I could teach them.

    Then 2012 hit like a change in atmospheric pressure. Engagement thinned. Phones glowed. Students behaved as though they were starring in their own prestige drama, and my classroom was merely a poorly lit set. I was no longer battling boredom—I was competing with the algorithm. This was the era of screen-mediated youth, the 2010–2021 cohort raised on the oxygen of performance. Their identities were curated in Instagram grids, maintained through Snapstreaks, and measured in TikTok microfame points. The students were not apathetic; they were overstimulated. Their emotional bandwidth was spent on self-presentation, comparison loops, and the endless scoreboard of online life. They were exhausted but wired, longing for authenticity yet addicted to applause. I felt my own attention-capture lose potency, but I still recognized those students. They were distracted, yes, but still alive.

    But in 2025, we face a darker beast: the academically anhedonic student. The screen-mediated generation ran hot; this one runs cold. Around 2022, a new condition surfaced—a collapse of the internal reward system that makes learning feel good, or at least worthwhile. Years of over-curation, pandemic detachment, frictionless AI answers, and dopamine-dense apps hollowed out the very circuits that spark curiosity. This isn’t laziness; it’s a neurological shrug. These students can perform the motions—fill in a template, complete a scaffold, assemble an essay like a flat-pack bookshelf—but they move through the work like sleepwalkers. Their curiosity is muted. Their persistence is brittle. Their critical thinking arrives pre-flattened. 

    My colleagues tell me their classrooms are filled with compliant but joyless learners checking boxes on their march toward a credential. The Before-Times students wrestled with ideas. The After-Times students drift through them without contact. It breaks our hearts because the contrast is stark: what was once noisy and performative has gone silent. Academic anhedonia names that silence—a crisis not of ability, but of feeling.

  • Pedagogical Liminality

    Pedagogical Liminality

    Lila Shroff argues that education has entered its Wild West phase in her essay “The AI Takeover of Education Is Just Getting Started,” and she’s right in the way that makes administrators nervous and instructors quietly exhausted. Most of you are not stumbling innocents. You are veterans of four full years of AI high school. You no longer engage in crude copy-and-paste plagiarism. That’s antique behavior. You’ve learned to stitch together outputs from multiple models, then instruct the chatbot to scuff the prose with a few grammatical imperfections so it smells faintly human and slips past detection software. This is not cheating as shortcut; it is cheating as workflow optimization.

    Meanwhile, many high school teachers congratulate themselves for assigning Shakespeare, Keats, and Dostoevsky while willfully ignoring the obvious. Students are using AI constantly—for summaries, study guides, feedback, and comprehension scaffolding. AI is CliffsNotes on growth hormones, and pretending otherwise is an exercise in institutional denial.

    Educators, of course, are not standing outside the saloon wagging a finger. We are inside, ordering fizzy drinks. Shroff notes that teachers now use AI to design assignments, align curriculum to standards, grade against rubrics, and complete the paperwork that keeps schools legally hydrated. Nearly a third of K–12 teachers reported weekly AI use last year, and that number has only climbed as profession-specific tools like MagicSchool AI churn out rubrics, worksheets, and report-card comments on demand. The teacher as craftsman is quietly mutating into the teacher as editor.

    AI tightens its grip most aggressively where schools are already bleeding resources. In districts short on tutors and counselors, AI steps in as a substitute for services that were never funded in the first place. This is not reform; it is triage. And once institutions develop a taste for saving money by not hiring tutors and counselors, it is naïve to think teaching positions will remain sacred. Cost-cutting rarely stops at the first ethical boundary it crosses.

    That is why this moment feels like the Wild West. There is no shared map. Some schools welcome AI like a messiah. Others quarantine it like a contagious disease. Many simply shrug and admit they are baffled. Policy is reactive, inconsistent, and often written by people who do not understand the technology well enough to regulate it intelligently.

    I see the consequences every week in my college classroom. I read plenty of AI slop—essays with flawless grammar and no pulse, paragraphs that gesture toward ideas they never quite touch. Some students have checked out entirely, outsourcing not just sentences but thinking itself. And yet AI is also an undeniable equalizer. Students emerging from underfunded schools with sixth-grade literacy levels are now submitting essays with clean syntax and logical structure. They use AI to outline arguments, test thesis ideas, and stabilize skills they were never taught. The tool giveth, and the tool holloweth out.

    People like to invoke “too big to fail,” but the analogy doesn’t hold. We don’t know which AI—ChatGPT, Gemini, Claude, or some yet-unseen contender—will dominate. What we do know is that AI is already embedded in education, culture, and the economy. There is no reversing this process. The toothpaste is not going back in the tube, no matter how sternly we lecture it.

    So understand this about me and my fellow instructors: we don’t know what we’re doing. Our roles are unsettled. Our identities are unstable. We are feeling our way through a dark cave without a map and without guarantees. There may be light ahead, or there may not.

    The only sane posture is humility—paired with curiosity, caution, and a sober gratitude that even a force this disruptive may yield benefits we are not yet wise enough to recognize. The name for this condition is Pedagogical Liminality: the in-between state educators now inhabit as teaching crosses from the pre-AI world into an uncharted machine age. Old rules no longer hold. New ones have not yet solidified. The ground keeps shifting under our feet.

    In this state, arrogance is dangerous. Despair is paralyzing. Certainty is counterfeit. Pedagogical Liminality is not failure; it is the honest middle passage—awkward, uncertain, and unavoidable—before a new educational order can be named.