Have We Forgotten What True Learning Feels Like?

I've been wondering lately whether any of us were ever really taught how to learn, or whether we were simply trained to demonstrate it?

I spent over two decades working in higher education as a researcher, a professor, an academic leader, and a learner. I loved the discipline, the rigour, and the clarity that systematised knowledge can bring. Yet throughout all of those years, I kept returning to an essential question that not many around me were asking: What does true learning actually feel like?

Few were curious about the inner reality of the process, preferring instead to focus on the visible, measurable part - what had been memorised and could be proven on quantitative tests. They looked right past the vulnerable, messy landscape of how we actually come to understand things: the necessary confusion that makes us pause, the friction right before a breakthrough, and that profound, almost sacred moment when an insight stops feeling like a lesson you are repeating and begins to feel like a truth you have actually metabolised. I do not think most of us were ever given the permission to pay attention to that feeling, and I find myself wondering if this is the true root of why so many of us feel so disconnected from our own minds today.

Long before formal education became an institutional machine of metrics and compliance, human beings understood that true Knowing required presence. Across cultures and generations - through oral traditions, apprenticeships, contemplative practices, and community learning - knowledge was never simply transmitted. It was lived. These were not primitive alternatives to real education. They were sophisticated, living ecologies of mind. They understood a truth we have largely forgotten: that an institution can distribute information and manage learning, but it cannot automate understanding. True Knowing cannot be stored in a database or measured on a clinical test; it must be actively inhabited, unfolding through story and mentorship, through watching and doing alongside others, and rooted entirely in the friction of human relationship.

The model of education that became dominant over the last two centuries was built for a particular world - the world of the industrial age. A world that ran on efficiency, predictability, and the logic of the machine. It was built on a particular understanding of reality shaped by Cartesian and Newtonian science, which saw the world as something that could be broken into parts, measured, and controlled. Knowledge, in that world, was treated like any other industrial input: something to be standardised, delivered at scale, and measured for output. The learner's role was to receive it, store it, and reproduce it on demand. It served its purpose, but the world it was built for no longer exists.

It was Ken Robinson who most clearly named what this legacy produced. Across decades of work on creativity and human potential, he observed that the industrial education system was never designed to develop human beings in their fullness. It was designed to produce a certain kind of output - measurable, compliant, efficient - for an economy that needed exactly that. And in doing so, it systematically separated the intellect from the body, information from values, and the individual from their own inner life.

This was not a failure of intention; it was a limitation of paradigm. The system gave us what Newtonian thinking could offer. What it could not give us was the integrative, living understanding that complexity theory, quantum thinking, and the new sciences are now pointing toward - a world that is not a machine to be optimised, but a living system to be understood, navigated, and tended to. What Robinson called a tragic waste of human potential, we might now also call a crisis of fragmentation. A system that breaks knowledge into disconnected, specialised parts cannot produce the kind of integrated, wise understanding that our current moment demands. It produces people who are extraordinarily capable within predictable systems, and genuinely lost in complex ones.

Which is precisely where most of us find ourselves today. Artificial intelligence did not disrupt this linear system; it accelerated it. It took the logic of efficient information delivery and pushed it to its absolute limit - instant answers, zero struggle, synthesis at scale. And in doing so, it raised a question the industrial model never had to answer: what happens to human understanding when the friction is removed entirely? When the struggle that was always the point is optimised away?

And yet, we must hold this carefully. For a student in a classroom lacking basic learning materials, or a first-generation learner locked out of the networks that others take for granted, AI is not a shortcut away from depth. It is access. It is a door that was previously closed. That matters enormously and should not be dismissed.

But access to information is not the same as the capacity to make sense of it wisely. AI democratises data, but without the inner infrastructure to process it with genuine understanding and good judgement, we risk mistaking the operational speed of the machine for the developmental depth of the mind. Having instant access to an answer is like being handed a map; it is incredibly useful, but it is not the same thing as walking the terrain.

True Knowing is never just an information transfer. It is an inner human experience: what we sense and feel within ourselves when we are challenged by a difficult truth, and the moral clarity we gain when we look an unexamined assumption in the eye. When our systems are designed to automate away that journey, they treat the mind like an empty container to be filled, rather than a muscle that needs to be exercised. They bypass the entire landscape where real human maturity takes root.

To say that the struggle is essential is not to romanticise structural hardship, nor is it to deny the immense value of assistive tools for neurodivergent individuals navigating systemic barriers. Rather, it is to recognise that the inner friction of wrestling with meaning was never the obstacle to learning. It was the entire point.

Cognitive research consistently shows that what psychologists call "desirable difficulties" - intentionally slowing down, creating space, and leaning into deliberate challenge - is precisely what builds long-term comprehension. When we grapple with a complex problem before being handed the solution, the data indicates that the very frustration we experience is a productive failure that directly catalyses our intellectual and conceptual breakthroughs.

This isn't just theory; it is wired into our biology. A neurophysiological study from the MIT Media Lab tracking brain activity showed that when individuals rely passively on generative AI assistants from the very beginning of a task, their functional neural connectivity across critical networks drops significantly during the exercise. This leaves up to 83% of them entirely unable to recall or quote details from the work they had processed just minutes earlier. Their minds experience a form of immediate muscle atrophy; by letting the machine do the heavy lifting, the brain is left entirely unengaged.

But when individuals engage their own minds first, unaided, and only then use technology as a secondary partner, their brains show robust, widespread network efficiency. They are actively evaluating, not passively consuming. And yet, at the very moment neuroscience is confirming what deep learning actually requires, the global trend is moving in the exact opposite direction. Despite rising educational attainment worldwide, long-term global data from the OECD confirms that adult comprehension, literacy, and deep data synthesis skills have steadily stagnated or declined over the last decade. This is not a personal failure. It is a structural one.

And yet, a distinct counter-movement is breaking through.When the dominant system fails to offer genuine depth, people do not stop wanting to understand - they walk away from the gatekeepers and find each other. In learning communities, peer networks, contemplative practices, and spaces of genuine dialogue, there is a growing refusal to treat knowledge as a mere commodity. People are reaching, instinctively, for something more whole. It is in that reaching that something older and more essential resurfaces.

In his bookThe Gift,Lewis Hyde draws a line between a market economy, where things are transactionally calculated, and a gift economy, where value is generated through circulation, vulnerability, and relationship. AI can give you information, but it cannot give you a gift, because it has no skin in the game. It is not changed by the encounter. It does not care whether you understand or not.

That difference is everything, because what AI cannot replicate is the whole person - the inner world of values and intuition meeting the outer world of relationships and lived experience. It is precisely that integration that true learning has always required. It was out of a deep commitment to integrate that original human wisdom with what the new sciences - complexity theory, quantum thinking, systems thinking - are now revealing about the nature of reality, that Knowledge Mindfulness was born.

This is not a return to the past, nor is it a rejection of technology. It is a living framework for the world as it actually is - interconnected, uncertain, and always in motion. It offers a space where the questions we carry do not ask to be immediately solved, but to be genuinely listened to. Where we open the inner window of our values, our intuition, and what we think and feel internally, at the exact same moment we open the outer window of data and structural forces - and in that opening, both things become possible - the very nature of what we know changes, and that deeper knowing begins to move outward, shaping the world around us in return

We step into the Knowing space.

Here, our understanding ceases to be a collection of dead commodities traded for external validation. It becomes an interconnected, living system where how we Know alters our Being in relationship with ourselves and the world, and our Being directly shapes the wisdom and responsibility of what weDo.

Knowledge, like a river, needs to flow. As it moves, it shapes its banks, and those banks, in turn, shape its course. In this ongoing movement between Knowing and not Knowing, between clarity and uncertainty, wisdom arises and shines.

Learning was never supposed to be comfortable. It was supposed to change you and the world around you.

I find myself returning to that original question, not just for my students or the leaders I sit with, but for myself, and for you: When was the last time it did?

With care for “ALL” Dr. Laila Marouf and the KMD team