Writings, Regrets, and Re-skillings during the AI Revolution

Author: Professor Lamb

  • AI Power Tips 3: Delegate Only What Is Permitted

    The newest AI tools do more than chat. Hand them a multistep job, like gathering sources, drafting a report, and building the slides, and they carry it out while you do something else. I wrote about choosing between chatting and delegating in ChatGPT at Work 8. For students, the harder question is not how to delegate. It is what you are allowed to delegate.

    Every assignment exists to build some skill. If an agent does the part that builds the skill, the grade might survive, but the learning does not. And unapproved use can put you in front of an academic integrity panel, explaining why a tool wrote your reflection paper.

    A simple fix is a Delegation Map. For each assignment, sort the work into three groups.

    Delegated. AI may do this part. Formatting a bibliography, turning notes into a table, generating practice questions, reorganizing a messy outline.

    Assisted. AI may help, but you do the work. It can quiz you, explain an error message, or point out where your argument is thin. The sentences, code, and calculations are yours.

    Unaided. You do this alone. Usually this is the core skill the assignment measures: the analysis, the design decision, the configuration you will someday have to perform in a lab or a job interview without help.

    The map belongs to the instructor first. When a syllabus says only “use AI responsibly,” students are left guessing, and guessing is where honest students get into trouble. If your instructor has not drawn the lines, ask: “Which parts of this assignment may I use AI for?” That is a professional question, not a confession.

    Once you know the lines, delegate like a good manager. Give the agent a clear job, the materials it needs, and a description of the finished product. Tell it what not to do. Then check the result before your name goes on it, which is where the next post picks up.

    This is the skill employers are starting to want: knowing which parts of the work a machine can carry and which parts need a person. Practicing it on coursework, with clear lines, is a lot cheaper than learning it on the job.

  • AI Power Tips 2: Know Which Model Is Answering

    Ask a student which AI answered their question and you will usually hear a brand: ChatGPT, Gemini, Copilot, Claude. Ask which model inside that brand, and most cannot say. That matters more than it sounds.

    Every major AI service runs more than one model. Some are fast and cheap. They answer in a second, and they are fine for rewording a sentence, summarizing a page, or brainstorming titles. Others are reasoning models. They take longer because they work through the problem in steps before answering, and they are much better at math, code, multistep logic, and anything where one early mistake ruins everything after it.

    Free tiers often give you the faster, smaller model, or switch you to it once you hit a usage limit. The screen looks about the same either way. A student concludes that “AI can’t do statistics,” when what actually happened is that the smallest model tried and failed.

    Four habits fix most of this.

    Look before you ask. Find the model picker or the setting that shows which model or mode is active. It is usually at the top of the chat or next to the send button.

    Match the model to the task. Quick wording help? The fast model is fine. A proof, a stubborn bug, a budget with formulas, or a question with several moving parts? Choose the reasoning model or the thinking setting, and give it a minute.

    Run one hard question twice. Once fast, once with reasoning. Compare the answers. That single experiment teaches more about these tools than a week of reading about them.

    Know when the wait is not worth it. Reasoning is slower and often rationed, even on paid plans. Spending it on “make this email friendlier” is like renting a moving truck to carry a lamp.

    This is also where the paywall bites. Paid plans offer more access to the stronger models and longer reasoning. That is one reason I care about students getting institutional access, and one reason I want them to get the most out of whatever access they already have.

    Model names will change by next semester. The question will not: which engine is doing this job, and is it the right one?

  • AI Power Tips 1: Using AI Well Is a Study Skill

    Most of my students already use AI. That debate is over. What I notice is that many of them use the free tools poorly, and in the same four ways.

    They accept the first response. They stay in the plain chat window when the task calls for more. They never check which model is answering. And they do not iterate, so a rough first draft becomes the final answer.

    None of that is a character flaw. Nobody taught them. These apps are designed to feel effortless, and effortless is a bad teacher.

    There is also a money problem, and the sociologist in me cannot leave it alone. The strongest models and agents sit behind subscriptions that start around $20 a month. Students who can pay get tools that reason longer, handle bigger files, and carry out multistep tasks. Students who cannot pay get free tiers that do less and err more. Same assignment, different tools. It is a new version of an old story about who gets the good equipment.

    Meanwhile, employers in high-demand IT and business fields increasingly expect new hires to hand routine work to AI and then catch its mistakes. That is not cheating. It is becoming the job.

    So I treat AI power use as a study skill, like taking notes or citing sources. It has four parts, and the next four posts take one each:

    1. Choose the model. Know which one is answering, and when a slower, stronger one is worth the wait.
    2. Delegate only what is permitted. Sort each assignment into what AI may do, what it may assist with, and what you must do alone.
    3. Evaluate with critical thinking. Ask four questions before you trust any output.
    4. Iterate, disclose, and explain it back. Improve the draft, say how you used AI, and be able to defend every part.

    The goal is a student who can do all four with whatever tool is in front of them, paid or free, this year’s product or next year’s. The products change every few months. The habits last.

  • Neurodivergent Friendly Teaching 11: Telling Students, or Not

    The last question in this series is the one instructors ask me most quietly: should I tell my students?

    There is no right answer, and I distrust anyone who offers one. Disclosure to students is your choice, and the choice depends on things nobody else can weigh for you: your contract status, your department’s culture, your history with the label, and what you hope disclosure would do. Some instructors find that naming their neurodivergence builds trust and models self-advocacy for students who have never seen an adult do it. Others find it invites doubt about their competence, or becomes the lens through which every misstep is read. Both experiences are real. The power dynamic in a classroom does not vanish because we are honest in it.

    What I want to offer is a middle path that is often overlooked: you can explain a practice without naming an identity.

    “I answer written questions better than on-the-spot ones, so please put them in the question board and I will address them at the pause.” “I use a timer because I lose track of time when I am teaching.” “I keep the lights on the lower setting because the bright ones give me a headache; let me know if that is a problem for you.” Each of these tells students something useful about how the class runs. None of them requires a diagnosis, a label, or a conversation you did not choose to have. Students, in my experience, take these explanations at face value and appreciate them. Practical transparency is its own kind of trust.

    It also models something. A student who watches an instructor calmly name what helps them, and arrange for it, is learning that this is a normal thing an adult can do. For students who spent years being told to adapt silently, that lesson may outlast the course content.

    One caution, and it is the note the whole series has been building toward. Your own experience informs your empathy. It does not predict a student’s needs. The support that saves your teaching, whether written questions, a dim room, or a strict routine, may be exactly wrong for the student in the third row. An instructor who cannot bear interruptions can, without meaning to, build a class that suffocates the student who thinks by talking. If you disclose, disclose as one data point, not as the template. Then do what this series has said from the first post: ask what helps each person, and change what you can.

    That is the whole practice. Design for the variability you cannot see. Keep the teaching sustainable for the person doing it. Assume less; ask more. It is not a program or a certification. It is a habit, and a fairly ordinary one, of treating neurological variation as the normal condition of a classroom rather than an exception to be managed.

  • Neurodivergent Friendly Teaching 10: Access Is Not Only for Students

    We talk constantly about access for students. We almost never talk about access for the people teaching them. Yet the same institution that runs an accessibility office for students is also an employer, and the same laws that protect a disabled student in the classroom protect a disabled employee at the front of it. Most neurodivergent faculty I know have never asked for anything. Many did not know they could.

    Start by naming the barriers, not the diagnosis. What in your working conditions makes it harder to teach well? For me the list looks like this. Room noise: a lab next to the mechanical room, or a classroom that shares a thin wall with a lecture hall. Back-to-back teaching, with no transition to recover before the next section walks in. Last-minute changes: a room switch announced the morning of, a policy update sent the night before it takes effect. Fragmented communication, where the same information arrives by email, by Teams, by a hallway remark, and in a meeting, and the versions do not agree.

    Notice that none of these require you to say a word about your neurology. They are conditions that make teaching worse for anyone, and several are fixable by a department chair who simply knows you would prefer a fifteen-minute gap between sections and a consistent room. Ask for those first, plainly and early, when schedules are being built. Chairs can only accommodate preferences they know about.

    For barriers that need more than a preference, find your college’s employee-support contact. At most colleges this is a human resources office or an ADA coordinator for employees, separate from the student accessibility office. A conversation there is where formal arrangements get discussed: schedule structure, written rather than verbal notice of changes, a quieter room assignment, or communication norms for your department. Formal accommodation usually requires documentation, and the process can feel exposing. Ask about the process before you commit to it. Understanding what is involved is not the same as filing a request.

    Contingent faculty face a harder calculation, and I will not pretend otherwise. An adjunct on a semester contract may reasonably fear that asking for anything marks them as difficult. That fear is a barrier in itself, and it belongs on the list of things a college should fix. But even there, preference-level requests carry little risk, and a chair who wants to keep a good instructor usually wants to hear them.

    The phrase I keep coming back to is shared responsibility. The instructor’s job is to identify what would help and to ask. The college’s job is to have a process and to take the request seriously. Neither works alone. A faculty member who masks through every barrier will burn out; a college that never hears the request cannot act on it. Access in the classroom has to include the person standing at the front of it.

  • Neurodivergent Friendly Teaching 9: Energy Is a Budget

    Teaching costs energy in a way that is hard to explain to people who have not done it. For an hour and a quarter you are performing, monitoring thirty faces, making a hundred small decisions, and, if you are neurodivergent, very likely masking: suppressing stims, forcing eye contact, filtering sensory noise, holding a script. Then you do it again in the next room. By Thursday afternoon the account is empty, and Friday’s grading comes out of overdraft.

    The community college load makes this acute. Five sections is a normal assignment. Adjuncts teach at two or three colleges, driving between them. There is no sabbatical and often no office door to close. Protecting usable energy is not indulgence. It is what determines whether the students in week fourteen get the same instructor the students in week two got.

    Three practices have kept me solvent.

    Build a quiet transition around teaching. Ten minutes before class, no email, no hallway conversation, just the cue sheet and the room. Ten minutes after, the same. I sit in the empty classroom or the car and let the performance drain off before I pick up the next thing. Back-to-back sections make this hard, which is why I ask for gaps when schedules are made, a topic for the next post. Where I cannot get a gap, I take the walk between buildings slowly and on purpose.

    Reuse everything that can be reused. Instructions follow the same template every week, so I am filling in blanks rather than composing. Feedback comes from a comment bank of the things I say most often, personalized with a sentence rather than written from scratch each time. Announcements have a skeleton. None of this makes the teaching generic. It moves the effort from formatting, which nobody benefits from, to the part where I actually respond to a student’s work.

    Keep a simpler version of every lesson ready. I call it the floor: the smallest class that still meets the day’s objective. It is usually the essential activity from the cue sheet, one worked example, and a checkpoint, with the discussion and the extension exercise cut. On a day when I slept badly, or the migraine is coming, or the previous section left me hollow, I teach the floor and the students still learn the thing. They do not know it was the floor. What they would notice is an instructor running on fumes, trying to deliver the full version and failing at it.

    The pattern here is the same one we use for students. Reduce competing demands, make the sequence external, offer a workable option for a low-capacity moment. We are not exempt from the design principles we apply to the room. If anything, the person who has to show up sixteen weeks in a row needs them most.

  • Neurodivergent Friendly Teaching 8: One Question Channel and a Planned Pause

    Here is the moment that used to wreck my labs. I am mid-demonstration, six steps into a configuration, and a hand goes up: “Mine says access denied.” I walk over. It is a typo. By the time I return to the front I have lost my place, the room has lost the thread, and two more hands are up. The demo has become a troubleshooting session with an audience.

    For an instructor whose attention does not switch cheaply, and that describes a lot of us, this is not a small cost. Every context switch has a re-entry fee, and it is paid in the quality of whatever comes next. So I separated the two jobs.

    Demonstrating and troubleshooting now happen at different times. During a demonstration, I demonstrate. Individual problems wait for the doing phase, when I am walking the room anyway. I say this on day one and I repeat it on the slide: “If your machine misbehaves during the demo, write it down. I will be at your desk in five minutes.” Students accept it, because it comes with a promise that gets kept.

    Questions go into one channel. In class that might be a shared doc, a stack of index cards, or the chat in a virtual section. Outside class it is the LMS inbox, and only the inbox, not a mix of email, texts, and hallway conversations that I then have to reconstruct from memory. One channel means one place to look and nothing that slips through because it arrived at the wrong door.

    I review the channel at planned pauses. In class, that is the break between demonstrating and doing, when I scan the cards or the doc and answer the three questions that matter to everyone at once. Outside class, it is a fixed time each weekday. Batching questions lets me give considered answers instead of reflexive ones, and it stops the day from dissolving into forty interruptions of two minutes each.

    Then I publish the expectation. My syllabus states when students can expect replies: inbox messages answered within one business day, grades within a week. This sounds like a policy for students, and it is, but it is also a policy for me. Once the window is public, I stop feeling that every unanswered message is a small failure, and students stop refreshing for a reply that was never going to come at midnight.

    Community colleges rarely give us teaching assistants, so the structure has to do the work an assistant would. A single channel and a planned pause are that structure. They are also, not incidentally, better for students. The person who was afraid to interrupt gets the same access as the person who never hesitated, and everyone learns that a considered answer tomorrow beats a distracted one now.

  • Neurodivergent Friendly Teaching 7: The Cue Sheet, or How I Stopped Losing Thursday

    The second half of this series turns the lens around. If you teach while neurodivergent, the same variability we design for in students is running the class. Working memory, time perception, and attention under interruption are exactly the things live teaching demands, and exactly the things many of us cannot rely on in the moment. The answer is not to try harder. It is to stop asking your working memory to do a job that paper does better.

    I keep one cue sheet for every class meeting. One page, large print, four things on it.

    The purpose: one line stating what today is for. When a tangent or a technical failure knocks me off course, that line is how I find the path back.

    The essential activity: the single thing that must happen for the class to count. If the projector dies and half the room is late, this is what we still do. Everything else on the sheet is optional by comparison, which means I can drop it without guilt when the hour goes sideways.

    The checkpoint: a moment, usually two-thirds of the way in, where I stop and check whether the room has the idea. A quick question, a show of hands, a one-line answer in the chat. It is written on the sheet because otherwise I forget to do it and discover at the exam that nobody had the idea.

    The closing prompt: the sentence I end on. Ending is a transition, and transitions are where I lose the thread. Having the last sentence written means the class ends on purpose rather than trailing off when the clock runs out.

    Two more tools live next to the sheet. A visible timer, on the desk or the second screen, because my sense of elapsed time in front of a room is unreliable in both directions. And a parking lot: a corner of the whiteboard or a sticky note where tangents go. When a great question pulls me toward something three weeks ahead, I write it in the lot instead of following it, and I say so out loud. Students see that their question mattered, and I keep the sequence.

    The community college version of this problem is scale. Five sections, three preps, two campuses, rooms that change without warning. A cue sheet travels. It works in a room with a whiteboard and a room without one. It works on a day when I slept four hours. And because it is a single page, it takes ten minutes to write, which is the only reason it exists.

    The general principle: anything you have to hold in your head during class is a thing that can fall out of your head during class. Put it on paper and let your attention go where it is actually needed, which is the students.

  • Neurodivergent Friendly Teaching 6: Grade the Skill, Not the Format

    Every assessment measures two things: the skill you meant to test and the format you chose to test it in. When a student struggles, you have to ask which one they struggled with. A timed multiple-choice exam on subnetting measures subnetting. It also measures reading speed, working memory under pressure, and test anxiety. If speed was never a course objective, the format is adding noise to the signal.

    This is not an argument for making things easy. It is an argument for making them valid.

    Start with clear criteria. Students should know before they begin what a strong response contains, in language a person can actually use to check their own work. “Demonstrates understanding” is not a criterion. “Explains why the packet was dropped and names the line in the config that caused it” is. The criteria protect students who cannot infer what I want from tone, and they protect me from grading on vibes.

    Make feedback timely and actionable. Feedback that arrives three weeks later teaches nothing, because the student has moved on and cannot connect it to what they did. Feedback that says “good job” or “needs work” teaches nothing either. One or two sentences naming the specific next step, returned within the week, does more than a page of comments returned after the next assignment is due. I keep a comment bank of the twenty things I say most, which is how I keep the turnaround short.

    Offer an equivalent response format where the format is not the skill. If the objective is “configure and verify a VLAN,” a two-minute screen recording with narration shows me that as well as a written report does, and for a student with dysgraphia or severe writing anxiety it may show me far more accurately. If the objective is “explain a design decision,” a written paragraph, a short recording, or a live conversation in office hours can all meet it. I decide what the objective is and then accept any format that demonstrates it.

    But retain the required skill when the format is itself the objective. If the course outcome says students will present a technical recommendation to a non-technical audience, the presentation stays. Removing it would mean certifying a skill I never saw. What I can do is scaffold it: post the prompt early, allow a practice run, permit notes, and be clear about what is being scored. That is support, not substitution.

    A last note on accommodations. Designing assessments this way reduces how often a student needs a formal accommodation, but it does not replace their right to one. Extended time, a distraction-reduced setting, and other approved arrangements come through the accessibility office and are not mine to negotiate. Good design and formal accommodation work together. One lowers the barrier for the whole room; the other guarantees the individual door stays open.

  • Neurodivergent Friendly Teaching 5: Noise, Light, and the Two-Minute Warning

    Walk into a typical community college classroom and inventory the sensory environment. Fluorescent lights, sometimes one of them flickering. A projector fan. Thirty machines humming in a lab. A hallway with a vending machine and a door that slams. For most people this is background. For a student with sensory sensitivities, which are common in autism and not rare in ADHD, anxiety, and migraine, it is a constant tax on attention before any teaching happens.

    I cannot rewire the building. I can do a handful of things that reduce the load, and most of them cost nothing.

    Preview transitions. Switching from lecture to lab, or from solo work to groups, is a small shock for a brain that has just settled into one mode. A two-minute warning smooths it: “In two minutes we’ll stop the demo and you’ll start the exercise on page three.” I say it out loud and I put it on the slide, because saying it once is not the same as it being received.

    Allow movement and quieter options where the room permits. A student who needs to stand at the back for ten minutes is not being disrespectful. A student who wears headphones during independent work is usually protecting their concentration, not ignoring me. During group activities I keep a quieter corner for anyone who finds six simultaneous conversations unbearable, and I let people work alone when the objective does not require a group.

    Use one clear restart cue. After a break or group time, everyone needs to know when we are back. I use the same phrase and the same slide every time, so the signal is unmistakable and nobody has to guess whether the chatter is ending. Consistency is the point; the cue itself can be anything.

    Then the part that surprised me: breaks. I assumed a mid-class break was universally kind. For some students it is. For others, a break shatters a concentration they spent twenty minutes building, and the restart costs them more than the pause gave. There is no default that serves everyone. So I ask. Early in the term, and again when the room changes, I ask what helps, and I adjust. Being asked is itself meaningful for students who came through school with every choice made for them.

    None of this requires knowing who in the room is neurodivergent, which is good, because I will never know. Plenty of our students arrive from a full shift, or a long commute, or a house with no quiet place to study, and they benefit from the same predictability. Design the room for the people you cannot see, and the people you can see do better too.