One Size Fits None: Why AI is the Answer to Education’s Oldest Problem
Rowland Johnson | Chief Executive Officer, SmartEducator
My entire professional life has been spent in technology. From the early days of enterprise software, through the cloud revolution and into the era of artificial intelligence, I have watched technology transform industry after industry – reshaping how we work, how we communicate and how we make decisions. Three years ago, I turned my attention to education and assessment.
What I found was a sector full of talent, dedication and genuine ambition for its learners – but also one sitting at a remarkable inflection point. The fundamental model of how we deliver learning has remained largely unchanged for decades, even as the tools to transform it have arrived. In a world where AI can personalise a news feed, a medical diagnosis or a financial portfolio in milliseconds, the opportunity to do the same for every learner in a classroom is now genuinely within reach.
“Giving everyone the same experience is not equity. True equity means meeting learners where they actually are – and for the first time, technology gives us the means to do exactly that.”
What we know from both research and practice is that standardisation is not the same as fairness. Giving everyone the same experience does not produce equal outcomes – it produces predictably unequal ones. True equity in education means meeting learners where they actually are, not where we hope them to be.
The Research Gap: What We Know vs. What We Deliver
Cognitive science has long told us that human beings do not learn in identical ways or at identical rates. Some learners are pattern-thinkers who need to see the whole picture before the detail makes sense; others require granular, step-by-step scaffolding; and some absorb knowledge best through narrative or analysis. On top of these diverse learning styles, attention spans and prior knowledge vary, and motivation is not a fixed quantity we can quantify for one and all – it rises and falls depending on relevance, confidence and the quality of feedback a learner receives in the moment.
None of this is new information. And yet the gap between what we know and what we deliver remains vast. Only 5% of educators say the current education system allows them to support all pupils in the ways they would like to (Pearson School Report, 2024) – and the consequences for students are measurable: 1.9 million children in England are not ready for their next stage of learning (Pearson School Report, 2025). These are not abstract policy failures. They are the predictable result of asking teachers to personalise learning at scale without giving them the means to do so.
Now, the Tools Finally Match the Ambition
For years, personalised learning was a beautiful concept hobbled by practical constraint. Differentiating meaningfully for thirty students in a classroom, let alone thirty thousand learners on a platform, was simply beyond human bandwidth. Teachers who are already stretched to their limits could not simultaneously track each learner’s conceptual gaps, adapt their delivery, generate bespoke feedback – and do so in real time.
Artificial intelligence changes that equation. Not by replacing teachers, but by giving them something they have never had before: genuine insight into every learner’s journey, and the tools to act on that insight without it consuming every waking hour. This is precisely the problem I came to education to help solve, and it is the one SmartEducator has oriented itself around.
Our platform analyses how each learner engages with content – documenting where they accelerate, where they’re inconsistent, where they repeatedly stumble – and adapts accordingly. It surfaces those patterns for educators and school leaders, enabling them to intervene with precision rather than guesswork.
“The goal is not a clever algorithm. The goal is a learner who believes, perhaps for the first time, that education was designed with them in mind.”
Technology Does the Groundwork. Teachers Do the Rest.
I want to address a misconception that occasionally surfaces in this conversation: that personalised learning is somehow asocial; a retreat into screens and algorithms, away from the richness of human interaction. This misses the point entirely.
The best personalised learning environments are ones where technology handles the adaptive scaffolding – the content sequencing, the formative assessment, the identification of knowledge gaps – so that human educators can invest their most irreplaceable resource, their attention, in the moments that genuinely require it. Whether that’s the dialogue that unlocks a student’s curiosity or the mentorship that shapes a young person’s sense of possibility, these are not things an algorithm can replicate. Nor should we want it to try.
What We Owe the Next Generation
We are at a moment where the global education sector has a genuine opportunity to make a step change. We can continue to refine the existing model, producing incremental improvements within its current constraints. Or we can harness the tools now available to us and commit to a more fundamental reimagining of what learning looks like – one that places the individual at its centre and builds outward from there.
The economic case is compelling. The social justice case is urgent. But ultimately, for me, the case is simpler than that. Research tracking over 80,000 pupils found that school enjoyment drops from 6.0 out of 10 in Year 6 to just 3.8 by Year 8 (ImpactEd Group, 2024–25) – and once pupils disengage at that age, they rarely recover the same level of enthusiasm for learning. Every learner who passes through an education system that fails to see them as an individual is a learner whose potential we have left unrealised. And that is not a statistic. That is a person.
I came to education from technology because I believed AI had finally given us the tools to close the gap between what we know about learning and how we actually deliver it. At SmartEducator, we do not think of ourselves as a technology company that happens to work in education. We think of ourselves as an education company, and one that uses technology to pursue something that should have been at the heart of schooling from the very beginning: the belief that every learner is worth their own time and understanding.
Rowland Johnson is CEO of SmartEducator, an AI-powered personalised learning platform serving learners globally. SmartEducator is a product of Sendient.