The thing no one explains on report-card day is simple. A single letter was built to sort and rank children. It was never built to answer the question you actually carry home. You want to know what to do next. Which skill to build. Where to spend Tuesday afternoon. The grade keeps that to itself. So when a school starts rethinking how it reports learning, it is not chasing a trend. It is fixing a tool that was never designed for the job you need it to do.
FROM THE VIDEO
Key moments from Redesigning Learning to Value Human Skills in the Age of Automation, with John Camp of New England Innovation Academy:
- 09:12Why returned work names the specific skills and the next step instead of a single letter.
- 14:00The four settings for AI on any assignment: human only, collaborator, thought partner, full AI.
- 19:49The one question worth borrowing: what is the problem for which this is the solution, then change one thing.
Common questions from parents
My child’s school stopped putting letter grades on work. Should I be worried?
Is AI in the classroom good or bad for my child?
Is automation going to take half the jobs by 2055?
What could I change at home without overhauling anything?
A single letter grade ranks your child. It never tells you which skill to build next. That is the question most parents are actually asking, and the report card answers a different one.
What a Single Grade Leaves Out
Picture a returned assignment with one mark on it. An 87. A B-minus. It tells you where your child landed against everyone else. It does not tell you which specific skill came apart, or what to practice on Thursday. That is not a small gap. It is the whole question most parents are asking, and the letter answers a different one.
Some schools now hand back something else: the specific skills a task was measuring, each with targeted feedback on where the child is and what comes next. No single score on the work itself. The research on feedback points the same direction. When two researchers, Kluger and DeNisi, pooled decades of feedback studies, a pattern showed up. Feedback aimed at the person or the score often did nothing, and sometimes made performance worse, hardest on the children who were already struggling. Feedback aimed at the task and the next step tended to help.
This is directional, not a guarantee, and removing grades on its own promises nothing. But the mechanism underneath is sound: a child who hears here is the skill, here is your next move has something to act on. A child who hears B-minus has something to feel. A low grade starts teaching a child who they are long before it teaches them anything else.
A child who hears “here is the skill, here is your next move” has something to act on. A child who hears “B-minus” has something to feel.
Laura Lurns · Learning Success expert
AI in the Classroom, or Only in the Room
The worry behind a lot of this is the headline that machines could automate about half of today’s work activities by the middle of the century. The World Economic Forum and McKinsey put that figure out, and it is real. It also points at tasks, not whole jobs, fewer than one in twenty occupations is fully automatable, and the timeline is a projection rather than a promise. So the honest response is not panic. It is to ask what a human child is for.
That is where schools reach for AI, and here the question matters more than the tool. AI that meets a child at the exact step they are stuck on, and frees the adult for the relationship and mastery work, tends to help. AI that is answer-only drill, or engagement theater, does not. One school names four settings for every assignment: human only, AI as collaborator, AI as thought partner, full AI. That is a guardrail a parent could borrow tonight.
The test is the one special-education research asks of any support: is this building the skill, or replacing the expectation that it gets built? Run every homework app through it. Most teens already use AI for schoolwork, so the useful move is not banning it. It is teaching your child to use it as a thought partner rather than a vending machine.
Key takeaways
- A grade ranks, it does not guide: One letter tells you where your child landed, never which skill to build next.
- Feedback beats scores: Research points to task-focused, next-step feedback helping where a bare rank often does not.
- Ask one question of AI: Is this tool building the skill, or replacing the expectation that your child builds it?
Start With the Problem, Then Change One Thing
The educator in this conversation borrows a question from Neil Postman: what is the problem for which this is the solution? Then he adds the courage to make one small change, and the room to fail forward when it does not work. That is a mental model to borrow at your own kitchen table. You do not need a credential to be the most important teacher your child will ever have. You already are one. The open question is whether you have the right tools.
Start with the real problem, not the grade. What does your child freeze on? What lights them up? Change one thing this week and watch. The frame that helps most is not what did they score. It is what could they build, and what skill comes next.
That is the opposite of a single letter. A plan that names the skill to build first, and the order to build them in, answers the question a grade never will. A plan like that is a starting point, not a diagnosis. If your child might need formal accommodations such as an IEP or 504 plan, or you suspect a vision, hearing or medical cause, a professional evaluation is the route to those supports.
The automation headline is about tasks, not whole jobs, so the real question is not what machines take over. It is what a human child is for.
Laura Lurns · Learning Success expert
You value your child’s curiosity, their confidence, and the things they make when no one is grading them. What wears all three down is not your child and not their teacher. It is a grading habit built to sort and rank, kept alive by sheer inertia, that answers a question you never asked while hiding the one you did. You are the one who changes that. You ask what the grade is for. You ask what to build next. You decide, at your own table, to look at what your child could create rather than what they scored.
But a grade rarely travels alone. A child whose growth a single letter flattens is often also carrying a focus struggle, a dip in confidence, or a processing gap no report card names. That is why the tools worth having work on the whole child, not one subject. Learning Success All Access gives you the plan, the coaching, and the skill-by-skill picture a letter never will. The people who spend the most hours watching your child struggle and succeed are not the ones writing the textbooks. They are the ones reading this sentence right now.
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Why we use AI, plainly: it writes from a knowledge base our team maintains and audits. We work through it line by line and pull anything the evidence stops supporting. The roadmap you get on Tuesday reflects what we corrected on Monday, and a human still reads it before you do.
Your school district must evaluate your child free of charge if you ask in writing, whatever your income and whatever the outcome (US, 34 CFR 300.111 and 300.301(b)). That route takes time and answers a different question than you do. This one starts today, from what you already know.
Your answers stay yours. We do not sell your personal information, and we do not hand identifiable assessment data to outside AI companies to train their models.
A screener is a starting point, not a diagnosis. If your child might need formal accommodations (an IEP or 504 plan), or you suspect a vision, hearing or medical cause, pursue a professional evaluation too. That is the only route to those supports.
