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Alban Jerome

Classrooms Full of Data, But No Wisdom

LinkedIn Education

Originally published here →

Written in 2025. Archived as part of my body of work.

We’re mistaking Information for Intelligence!

Classrooms today are a lot more modern than they were when I was a student. We have smart boards now, not blackboards. Chromebooks instead of notebooks. A lot of students use interactive learning tools like VR.

Our version of interactive learning? Dioramas and brilliant teachers.

And this is great. Technology is a crucial part of education. It opens up possibilities, enhances engagement, and yes, makes certain types of learning a lot more accessible. But if you look a bit deeper—just under the surface—you’ll notice something familiar. A foundation that’s been around for decades, nearly a century. Memorize. Recall. Repeat.

Now, that’s not necessarily evil, and I won’t say it as such. Memory has its place. It builds structure, it sharpens our focus, and in the early years, it strengthens those neural connections we have.

But the issue I feel is that we’re training students to master one thing that AI is already fabulous at—and incredibly fast at: information retrieval.

We’ve all used tools today like ChatGPT, Grok, Perplexity… and students should absolutely be encouraged to use them. Not to cheat or shortcut, but to explore. To dive into ideas. To roam the vast realms of information available to them in seconds.

I still remember waiting in line to check out books from the school library, just so I could read them. And honestly? The time I spent standing in that queue—just waiting—I could now use to retrieve a hundred times more information than what was in that little book.

That’s the reality we live in. So why are we still anchoring our system to a model that assumes memory equals mastery?

Neural Pruning.

Before I go strongly into why a knowledge-retrieval-only learning model may be harmful, let’s first give memory—and neuroscience—its due.

Research (and there’s tons of it) has shown that early exposure to knowledge, even through plain old memorization, helps strengthen neural pathways. Harvard research has shown that 90% of a child’s brain develops by the age of 5, forming over a million neural connections every second. That’s not a throwaway statistic—it’s biology in motion.

These foundational skills are critical. They set the stage for later intelligence, emotional development, motor control, and problem-solving. What happens to our brains after the age of five is something called neural pruning. In simple terms, the brain trims away the connections it doesn’t need or use. It’s the brain’s way of optimizing its resources.

So the years we spend in early childhood and throughout school? That’s the brain making choices—about what to hold on to and what to let go of. And that, in turn, helps define how we process, recall, and apply knowledge as adults.

So let me be clear: I’m not talking about ditching memory development.

I’m saying we shouldn’t make it the core basis of how we define intelligence or success.

Because there’s more than one kind of intelligence besides just the ability to recall information. A lot of memory-based learning is centered around facts, figures, and linguistic skills—which falls under what Howard Gardner called linguistic intelligence.

But Gardner identified nine types of intelligence—not one. So why are we still teaching like there’s only one that matters?

The question we need to be asking ourselves today is:

Is knowledge the only form of intelligence we want to encourage in learning?

Because if the answer is no, then our approach to education has some serious catching up to do.

When Knowledge is Everywhere, What Skills Should We Be Focusing On?

Let’s get practical for a second.

If students today can look up just about any piece of information within seconds—thanks to AI tools like ChatGPT, Grok, or even, like we did in our time, a Google search—then what are we still asking them to do with all that memorized content?

According to the OECD’s 2020 report on curriculum overload, piling on content with the sole goal of memorization doesn’t make learning richer. It leads to stress, surface-level understanding, and limited critical thinking. The report urges education systems around the world to adopt a “fewer things better” approach—focusing on depth over breadth, and application over recall (OECD, 2020).

Backing this up, a 2024 study published in Scientific Reports found that students who learned through problem-based, hands-on, and interactive methods demonstrated significantly better critical thinking skills and deeper conceptual understanding than those who were taught traditionally (Nature, 2024).

And in Frontiers in Education, researchers went one step further: critical thinking doesn’t happen by default. It doesn’t emerge magically from reading a textbook or memorizing definitions. It needs to be taught intentionally—with space to question, reflect, and engage in meaningful application (Frontiers in Education, 2022).

But critical thinking is just one piece of the puzzle.

In a world where information is available instantly, what we really need to be developing are the human skills—the ones AI can’t replicate (at least not yet):

  • Creativity
  • Empathy
  • Curiosity
  • Collaboration

These are the skills we need to develop, because knowledge is now an easily available commodity. What we do with that knowledge is the real skill and power.

What Should We Be Doing?

With all these incredible tools at our fingertips—AI tutors, research assistants, simulation engines—our schools should be doing more than just coexisting with them. They should be leaning into them. Encouraging students to use them. Integrating them meaningfully into the learning process.

We should be training kids to type ridiculously fast—not so they can write essays faster, but so they can think faster with AI, interact faster with technology, and make the most of these tools that are now part of their everyday lives.

AI tutors like Khanmigo and ChatGPT aren’t threats to education. They’re extensions of it. Tools educators should be using! They can help teachers personalize learning, help students explore different ways of understanding a concept, and bridge the gap between information and actual comprehension.

Because that’s what we really need to teach for the future: not just how to memorize information, but how to understand it, explain it, question it, and use it to create something new.

Maybe education today should be less about reciting information, and more about:

  • Researching
  • Finding and filtering credible information
  • Explaining choices
  • Justifying answers based on context

Maybe we should do more project building—get kids creating with their hands, turning theory into tangible outcomes. Maybe they should be outside more, interacting with their communities, learning through exploration, observation, and reflection.

Because the truth is, we won’t build the next generation of thinkers inside a worksheet.

We have to get the kids back into the world - because they’re the ones who will grow up and improve it.

And if we do this right, maybe we won’t just have classrooms full of data anymore…we have oceans of servers for that.

We’ll have schools full of wisdom.

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