During yesterday’s session at ASU+GSV Summit on “What do kids need to learn in the age of AI?”, a single line cut through the noise and really stuck with us.

“How well would you learn to shoot baskets if, when you took a shot, you had to wait until the next week or even the next month to find out if the ball went in? Learning thrives with fast feedback. It dies without it.”

It’s a simple analogy, but a powerful one.

It’s almost impossible to imagine. Without immediate feedback, there’s no adjustment, no rhythm, no real progress. That moment, shared on stage, sparked a wider reflection: perhaps the pace we’re wary of in education isn’t something to fear, but something to better understand.

Because for many educators, pace does feel unsettling right now. The rise of AI, the constant evolution of tools, the sense that everything is accelerating - it can feel like education is being pushed faster than it’s ready for. And in a profession built on care, depth and human connection, that concern is entirely justified.

But speed, in this context, isn’t about rushing. It’s about responding.

What technology is really changing is the feedback loop. Where once students might wait days to understand a mistake, they can now see it instantly, reflect, and try again while the learning is still fresh. That shift doesn’t dilute learning, it strengthens it. It creates space for iteration, for experimentation, for real understanding to take root.

And the cost of getting this wrong is becoming clearer. In one university study, feedback given after more than 10 days was associated with significantly lower student motivation, suggesting that delay itself can quietly erode momentum.

And with that comes something powerful: confidence.

When feedback is immediate, failure loses its finality. It becomes part of a process rather than an endpoint. Students are more willing to take risks, to test ideas, to keep going. Learning becomes less about getting it right first time, and more about improving over time, which, of course, is where the real growth happens.

Importantly, this isn’t about replacing educators. If anything, it reinforces their role.

You know exactly what each student needs to hear. But writing meaningful, personalised feedback for 50 or 150 learners takes hours you simply don’t have.

That’s where the real opportunity lies.

Emerging research is already pointing to the impact. A Stanford-led study found that automated feedback tools improved instructors’ uptake of student contributions by 10% and reduced teacher talk time by 5%, creating more space for meaningful dialogue and deeper learning.

But crucially, teachers remain at the centre of this process. They review AI-generated suggestions, add context, and bring the human understanding that no technology can replicate. It’s this combination - speed from AI, judgement from educators - that unlocks the real value.

Across our community, we’re seeing how technology can take on the repetitive, time-consuming elements of teaching, like marking or surface-level assessment, while giving educators back the time to focus on what truly matters: guiding, questioning, supporting. In fact, many of the tools emerging within the Teaching & Learning space are specifically designed to streamline teaching while enhancing the student experience.

The result is not a faster, more chaotic classroom but a more responsive one.

Where traditional delays could stall momentum, fast feedback keeps learning alive. It keeps students engaged, present, and moving forward. It allows progress to be seen and felt in real time.

So perhaps it’s time to reframe the narrative.

Pace in education doesn’t have to mean pressure. It doesn’t have to mean losing control. In the right context, it can mean clarity. It can mean momentum. It can mean giving both students and educators the tools to move forward with confidence.

Because if learning is a journey, feedback is the compass. And the faster it responds, the clearer the path becomes.