Can AI make personalised education happen? (AI in Education: Part 4)

Last time, we dug into the heart of what genuine personalisation means. Beyond tech features and shallow tweaks, it’s a living, relational process shaped by recognition, dialogue, memory, and real care. We also wrestled with the challenge: much of so-called “personalisation” today is still one-size-fits-all, just dressed up in more modern clothes, and teachers often bear the burden of trying to do the impossible in a rigid, efficiency-driven system. Now, I want to ask how AI tools might be able to help bridge the gap between our best intentions and everyday classroom realities.

First thing’s first. AI isn’t some magical teacher-replacement machine, nor should its role be to hand students a “choose-your-own adventure” platform and hope for the best. The true potential of AI in education is found when it’s woven thoughtfully into the learning environment, acting not as the star or even the supporting cast, but as a member of the backstage crew. The scene to aim for is one where teachers use technology as a powerful assistant that can help notice, track, and respond to students’ real journeys, while a teacher remains the heart of the operation.

Consider the story of Ms. Carter, a history teacher juggling thirty very different year nine students. One student, Jamal, consistently falls behind in written assignments but lights up during verbal storytelling exercises. Left to a self-serve AI platform, Jamal might get peppered with endless essay practice, reinforcing the exact barrier that keeps him disengaged. But with a real teacher using smart tech, things look different. Ms. Carter reviews AI-generated reports on class participation and assignment types, spots a pattern in Jamal’s oral contributions, and realises his strengths aren’t being captured by traditional assessments. She then adapts her curriculum, offering Jamal the chance to create video essays and present his knowledge to the class. Sure, there is an administrative shift, but importantly, Jamal gets a huge boost in his confidence. The technology didn’t replace Ms. Carter’s expertise; it amplified it, helping her see the bigger picture of Jamal with far more ease.

Or take Ella, an energetic fifth grader with ADHD. Ella’s attention and motivation swing wildly depending on the time of day and the activity. With the help of an AI system tracking engagement rhythms and frequently used learning styles, Ella’s teacher receives a gentle nudge in her dashboard: periods just after lunch are peak creative times, while math drills before recess are a recipe for distraction. Rather than sticking Ella in an endless motivational feedback loop, the teacher rearranges her schedule so that Ella gets more hands-on creative work when she’s most engaged and tactical support when she tends to drift. The AI provides patterns, but it’s the teacher who brings understanding and care.

And then there’s the case of Mia, who’s quietly neurodiverse but undiagnosed. Peer collaborations are often tricky for her; she thinks differently and sometimes feels misunderstood. With AI quietly mapping group dynamics and picking up subtle cues about where students contribute best, Mia’s teacher receives context-rich insights into how group projects have unfolded. Instead of sending Mia off to tackle another solitary task, her teacher invites her into teams where her out-of-the-box thinking has complemented others before. The AI just opens doors; the teacher walks Mia through them.

These stories highlight a vital point: left in the hands of students alone, even the most sophisticated personalisation tools tend to fall back on surface-level pathways. Data-driven nudges, repetitive practice, and a narrowing of learning experiences based on what’s “safe” or familiar. When students are the main drivers of AI, the richness of learning (and its unpredictability) gets lost or squeezed if the algorithm isn’t designed for curiosity and growth beyond the numbers.

Teachers, on the other hand, can use AI to reveal patterns buried beneath the usual classroom noise and paperwork, spotting the spark behind a student’s random question, noticing a drop in motivation, or connecting the dots between personal challenges and classroom performance. AI can streamline tedious administrative tasks like marking or attendance tracking, freeing up time for deeper engagement. It can flag unusual trends, letting educators act early before a student slips far behind and tune lessons to match collective interests as they emerge.

And yet, delivering meaningful personalisation isn’t without obstacles. Technology alone doesn’t solve the fundamental issue that teachers are often overstretched, under-supported, and required to jump through administrative hoops. When they’re asked to personalise learning for each child, it rapidly outpaces what any one person can do without meaningful help. Rather than blaming teachers, we should see this as a systems problem that requires new structures, resources, and policies with care and relationships at the centre. AI has a place in this solution, as long as it’s wielded as an empowering tool, not an invisible replacement.

That’s not to say students shouldn’t ever interact directly with personalised technology. Tools that help them reflect, organise, create, or track their own progress can encourage greater autonomy and self-understanding. But for the richest, most transformative personalisation, it’s the teachers, using their experience, humanity, and wisdom, supported by AI insights, who bring out the best in each learner. Technology holds the lamp; the teacher guides the way.

As we step further into the age of AI in education, the real promise isn’t about handing the keys to the machines. It’s about using the best technology to extend what good teachers already do - seeing, knowing, and nurturing every student, in all their beautiful complexity. I know this is a relatively short reflection, but this feels like something that shouldn’t be overcomplicated. AI tools have a huge amount of power to support teachers and classroom staff in their capacity to personalise student education, but are no replacement for the personal, human, imperfect connections and guidance in the classroom.