Why adaptability is the single skill we actually teach

“Generative AI is an unreliable partner — it can get you to the red zone, but you still have to score.” — Dr. Jim Windlebourne

Dr. Jim Windlebourne opened like that and never let the conversation soften into slogans. Over an hour, he and Ryan Reed turned small, practical classroom habits into a coherent design for career-ready learning: teach students how to pivot, how to own their work, and how to use tools without assuming the tools will save them.

Adaptability is the curriculum you can’t schedule

Both speakers returned to the same hard idea: technical knowledge ages fast; adaptability doesn’t. Jim framed it simply — students who recover from early-term setbacks by making contact, asking for help, or looping in an instructor are the ones who persist.

Ryan backed that up with classroom rhythm: he emails incoming students a short, explicit “please say hi” message and gives them suggested lines to send. The result: a half dozen freshmen reach out immediately. That small, early habit makes later difficulties manageable because there’s already a relationship to call on.

Why this matters in practice: when a lab goes wrong, a grade slides, or a soft skill is needed in a clinical rotation, the students who’ve practiced being proactive are the ones who pivot and keep going. Jim calls adaptability a professional accelerant; Ryan shows how to teach it with nudges and routines.

“If you want something, you need to make contacts with people…people aren’t going to do it for you.” — Dr. Jim Windlebourne

Use AI, but teach the last 10 yards

They don’t ban generative AI; they reframe it. Jim uses Perplexity and enterprise Copilot at Regis to speed tasks that are repetitive — organizing question banks in Moodle, for example — but he warned that AI’s outputs still need careful human review. When Jim asked Perplexity how to measure hummingbird blood pressure, the sources it returned looked credible but didn’t actually answer the experimental step-by-step. That demonstration turned into a class moment: AI can be source-forward and fast, but it won’t replace domain expertise.

Ryan runs similar experiments in his classroom. He’ll give students a prompt and then ask them to explain why any returned answer might be wrong. The practical rule they landed on was: treat AI as a red-zone helper — it can get you close and save time, but you must still be the one to finish responsibly.

Concrete classroom moves you can borrow:

• Build assignments that require students to use AI and then annotate or correct its mistakes.

• Use private, enterprise models (Copilot) for sensitive content and to avoid model training leakage.

• Reserve AI for organization tasks (formatting, templates, bank generation) but insist on human verification for assessment items.

Digital literacy: the tiny things that break big goals

A thread that kept returning was how students can be “digital natives” in phones but novices in professional tools. Jim and Ryan listed small, repeatable problems that create big friction: not understanding what a file is, naming files “Copy of…”, not knowing how to save or export, and mixing up Chromebook vs. PC login flows.

Ryan’s fixes are low-effort, high-return: teach file naming conventions in class, require students to practice Save As and account differences, and introduce keyboard shortcuts that work across platforms (Control/Command-A, Control/Command-L for address bar selection, Control-C/V). He also runs scavenger hunts across Chromebook, Mac, and PC so students see which commands are universal and which diverge.

Jim’s quick intervention: when a class project failed because students “lost the file,” he added an in-class step: name the file together, verify location, and demonstrate retrieving it a week later. That one behavior eliminated a category of late submissions and grade disputes.

Small colleges and career pathways: don’t dismiss the sticker price

Jim talked about coming to Regis College to coordinate anatomy and physiology for nursing, sonography, dental hygiene, and neuroscience students. He made a practical case for small colleges: sticker prices lie, financial aid can be significant, and small programs offer closer faculty support.

Two useful lines for counselors and teachers: 1) encourage students to call institutions and ask about targeted financial support, and 2) help students map current hobbies and digital habits to careers (Ryan’s Venn-diagram exercise: what you do now vs. what the job requires). Those simple moves often surface non-obvious pathways — streaming experience mapping to telehealth communication, gaming to UX interests, sewing/costuming to technical design skills.

Keep the human moments — they’re the accelerant

The episode is full of small, human details that matter: Ryan’s “dugout” system for late assignments, Jim’s new jigsaw obsession used to launch conversations, Ryan bringing a mascot (Fui Coco) to pajama day, and the story of a sonographer program being rare enough that students travel for it. These are not fluff. They’re classroom glue. Relationship work — small rituals, predictable follow-ups, and shared humor — is what lets students use the technical skills they learn.

A practical classroom ritual you can adopt today: an opening week message that asks students to reply with one line (their pet, a song, or what they binge). Keep those replies and reference them at midterms when follow-up matters.

One last thing to keep you honest

If you remember only one instruction from this conversation, make it this: teach students to be responsible for their own outcomes and give them tiny, repeatable practices to do it. That’s the lever Jim and Ryan returned to again and again — not because it’s trendy, but because it actually changes semester-by-semester results.

If you’d like the full conversation — the stories about movie-theater adaptability, the AI classroom demos, and the practical scripts Jim uses in first emails — the full episode is on the Pixel Classroom feed. Or, if you’re in Boston and see a 6'4" professor with a bass, say hi — that’s probably Jim.

Reflection: What small habit could you teach this week that would make the next crisis solvable? Try one: an explicit “email me now” step, a file-naming routine, or a one-minute AI-check step on every assignment. See what shifts by midterm.