Turning Vision into Classroom Practice · October 6, 2026

Future Ready,
Not Just AI Ready

What should stay difficult? A district leader's lens for deciding what AI should make easier.

Micah Miner, CETL · Director of Innovation and Technology, Beach Park CCSD 3 · Author, AI Goes to School

Opening video:YouTubeGoogle Drive

Maya's essay:YouTubeGoogle Drive

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Before we start

Two questions.

Talk to the people at your table. I want honest answers, not impressive ones.

Question one

Name one thing that got easier in your district this year because of AI.

Question two

Now name one thing your students got better at because of AI.

The gap

Those are not the same question.

"Got easier"

  • Mostly about adults
  • Measured in workload
  • Visible this year
  • Easy to point to

"Got better"

  • About students
  • Measured in capability
  • Visible in independent work
  • Harder to infer from output alone

It is easy to answer the first and believe we have answered the second. The question underneath both is the one this hour is about: what should stay difficult?

The distinction

Procurement question

AI ready

Do we have the tools, the policy, the training, the data agreements? Necessary work. Answerable in a year.

Graduate question

Future ready

Can our students think, judge, and make themselves understood when the tool is not there? Answerable in a decade.

AI READY · THE PROCUREMENT CLOCK buy, revise, retrain, renew. Every year. FUTURE READY · THE GRADUATE CLOCK evidence from independent work, every year This fall's 3rd graders Graduation, spring 2036 20262027202820292030203120322033203420352036
This fall's third graders graduate in 2036. Look for early signs in their independent work every year, not only at the end.

What future ready means

The durable six

The capacities AI should amplify rather than absorb. Which one are you most worried about?

Click one and I will show you what absorbing it looks like

When a tool absorbs it

A defensible answer arrives without the student ever weighing the evidence that produced it.

When a tool absorbs it

Fluent prose appears without the student ever having to find the words.

When a tool absorbs it

Novel output, and none of the false starts that teach a student what their own taste is.

When a tool absorbs it

The group divides up the prompt instead of the problem. Four outputs, no negotiation.

When a tool absorbs it

The lab data is messy. The tool says which trial to throw out, so the student never decides what counts as an error.

When a tool absorbs it

The path gets chosen for the student. Efficiently. Every time.

Show of hands

Two questions about your Portrait of a Graduate.

Put those two documents in the same room. That is where the governance work starts.

First, a measurement problem

Screen time is the wrong question.

Districts have argued about minutes. The next question is what those minutes were doing.

What the report counts

  • Minutes on the device
  • Apps opened, tabs visited
  • Assignments marked complete
  • Time on task, flagged green

What it cannot see

  • Whether the student did the thinking
  • Whether the words were theirs
  • Whether anything got harder, then got easier
  • Whether they could do it again on Monday

Why the metric fails

Two students. Forty-five minutes each.

Student A Read 4 conflicting sources Argued with a partner Threw out a draft Rewrote it 45 min Student B Prompt Waited, scrolled, skimmed the output Edited 3 words 45 min
Same device, same minutes, same completion flag.
Both students 45 min · complete · on task Your data cannot tell them apart.

The better question

Not how long the screen was on. What the screen made easy.

Context · who makes the words

Why this moment is different.

For most of history, people made the words and people chose which ones reached us. Social media handed the choosing to algorithms. Generative AI hands over the making.

WHO CREATES WHO CURATES Primary orality speech and memory people people Literacy writing and print people people Secondary orality radio, TV, telephone people people Algorithmic secondary orality social media feeds people algorithm Tertiary algorithmicity generative AI algorithm algorithm WALTER ONG: THREE STAGES MINER: TWO PROPOSED STAGES
Ong, Orality and Literacy (1982). The last two stages are Miner's proposed extension from doctoral work at National Louis University, not established terms.

The reframe

Friction is not one thing.

JUDGE BY THE LEARNING GOAL Head working it out for yourself Room saying it so others understand World becoming someone who can do difficult things all three rest on The base: the conditions time · access · technology · policy · the building what makes the other three possible at all CHECK SUPPORTS AND CONDITIONS Any layer can contain a barrier or learning work worth preserving.
Head, Room, and World are separable on paper and tangled in practice. The learning goal determines what to reduce and what to preserve.

I call this pedagogical friction: the effort learning requires. The work, slowness, and struggle that make growth possible.

Remove barriers in any layer. Preserve the thinking, dialogue, and responsibility required by the learning goal.

An Illinois high school junior, writing in the September 29 ISBE Weekly: “To learn is to endure a necessary friction.”
Reduce this layer

The base: the conditions

The conditions that make learning possible at all. Time, access, technology, policy, the building itself.

A student who cannot reach an archive. A family who cannot read the notice. A teacher who loses an evening to scheduling. These are barriers to learning, not the learning itself. Removing them expands who gets to do the work.
HeadTHE THINKINGRoomTHE SAYINGWorldTHE BECOMING THE BASEarchiveout of reachnotice not inhome languageevening lostto schedulingsources reachable · notice translated · scheduling drafted Each dot: a student 3 of 12 reach the work 12 of 12 reach the same work
Illustration. Easing the base changes who reaches the work. It does not do the work for them.

The three you protect

Head, Room, and World.

Click each one

Head · the thinking work

Forming an idea, holding two things that contradict each other, staying in not-knowing long enough to get somewhere.

When a tool does this: the answer still appears. The thinking moved from the student to the system.

Room · the work of being understood

Finding the words, ordering them, imagining a reader who does not already agree with you.

When a tool does this: writing is not the transcription of a finished thought. Writing is how the thought gets finished. Fluent prose a student did not build skips the part where understanding forms.

World · the work of becoming

Who the student turns into by staying with something difficult until it is done.

When a tool does this: a student who never finishes something difficult may never learn that they can. That is not information. It is formation.

Researchers call this unproductive success

Green dashboard, unfinished learning

Illustrative pattern, not measured student data.

Sept January May What you can see DASHBOARD STATUS ALL YEAR: GREEN
Conceptual illustration, not measured student data. Grades and completion can remain strong while evidence of learning stays incomplete. An Illinois student described this pattern in the September 29 ISBE Weekly.

The part that is nobody's fault

The instructional judgment stays with you.

Tools embody decisions about what to make easier. Districts still have to judge whether those decisions serve the learning goal and the learner's needs.

Which means the judgment call can only live with the adults. No procurement process, no setting, and no vendor assurance moves that responsibility off your desk.
Tool designwhat the vendor made easyLearning goalwhat the learner must still doLearner's needsthe supports this learner needsEducators& leadersjudge the fitno product can sit hereTHE CALLKeepChangeConstrainStop
The tool brings its design. The district brings the goal and the learner. The call happens in the middle.

The lens

Four questions. Any tool, any vendor.

Click a question to open it

Try the lens · pick one

Which layer does it ease?

Decide alone. Compare with a neighbor. Vote before the reveal.

Pick one

First ask which layer the use touches. Then decide whether to keep, change, constrain, or stop it.

Table audit · eight minutes together

One real district use

Choose one specific way a tool is already used in your district. Name one recorder.

01

Choose the use

Name the exact task and who uses the tool.

02

Anchor the goal

What must the learner or educator still practice or decide?

03

Run the lens

What gets easier? Which layer? What work disappears?

04

Make the call

Keep, change, constrain, or stop. What evidence will an owner inspect?

Your table leaves with one sentence: In this use, ______ must still ______. ______ will watch ______ for signs the support is replacing the work that matters.
Finished examples · open one

Before the examples, some disclosure

Why I am using our hosts as the worked example.

  • 01They are hosting and I am being paid to be here.You should know that before I show you anything.
  • 02One of their products was in my district before I was.I inherited it. I did not select it. I support it now as part of my job, so weigh what I say with that in mind.
  • 03A real example beats a hypothetical.Vendors face this balance from the other side. Someone in a product meeting had to decide what to make easy. So do you.
  • 04Every question I ask here I would ask of any product in these categories.Including the ones already in your buildings.

Worked example · social studies

Traverse

What would you keep with the district? What evidence would you inspect?

Head to verify Room untouched World untouched The base finding and organizing sources Eases the base. Verify the Head work.
Where the tool acts.

Worked example · mathematics

Imagine IM and ClassMate

Head · Room · World AI Tutor can touch Head The base ClassMate teacher tools: planning Same curriculum. Two different decisions.
Where the tool acts.

Worked example · courseware

EdgeEX

Head · Room · World The base wait time for feedback The teacher's read of the class lives on this line.
Where the tool acts, and what sits on the boundary.

Worked example · intervention

MyPath

Hypothetical risk, not measured MyPath results
too difficult: shutdown the right level of challenge too easy: disengagement grade-level demand the adaptive path the gap Sept May A dashboard might still look green.
Conceptual risk illustration, not measured MyPath outcomes. Monitor whether supports fade as learners approach grade-level work.

The pattern across all four

The vendor decides what the tool makes easy. You decide what it means.

Two districts can run identical software and get opposite outcomes. Privacy, bias, equity, and academic integrity remain non-negotiable safeguards. For a district, digital citizenship and sound AI policy come down to the same decision: what students still do for themselves. Did anyone make that decision on purpose?

Identical software decided on purpose left to the defaults Students still do the thinking The tool quietly does the work
Illustration: the same product, two decisions.

Before I ask you to do this

Ours. Written before I got here.

Beach Park District 3 adopted a Portrait of a Learner while I was still somewhere else. It was not written as AI guidance. Look at what they wrote anyway.

Critical Thinking → Head
Clear Communication → Room
Resilience"persists in the face of setbacks, sees effort as a path to mastery" → World

They got there without the vocabulary, and without any of this being about technology. Most of your Portraits say something close to the same thing.

What in our AI guidance protects Resilience? I did not have an answer.

The next move · ninety seconds, silent

One competency. One protection. One owner.

Pick one competency from your Portrait, a district priority, or a learning goal. Name a protection and an owner. Keep needed accessibility supports.

Put it on an agenda: At our next ______ meeting on ______, I will bring ______ so we can decide ______.
Illustrations · not district policy

Where we started

The districts that will be future ready are not the ones that adopted fastest.

They are the ones that decided, on purpose, what to keep difficult.

Take one thing with you

Resources

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Micah Miner · micahminer.com · Beach Park CCSD 3

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Opening video

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