Learning vs Teaching
Discovering vs Inventing
Realising vs being instructed.
Deep in the interiors of the tribal belt of Madhya Pradesh, I was delighted to find a residential school where 300 kids were preparing to max exams. They had been selected from hundreds of villages. They came here with the blessings of their parents and the dreams of their communities. With a single target – to excel in their studies. Something that would prepare them to leap into an unknown world, far away from their forests into a world they knew little about.
Learning and teaching are often treated as two sides of the same process. In reality, they operate in almost opposite directions.
Learning is bottom-up. It starts with curiosity, confusion, and exposure to the real world. It is messy, nonlinear, and driven by feedback. Whether it’s a child figuring out patterns or an AI system improving through Reinforcement Learning, learning is fundamentally about updating an internal model based on experience. It is not about language.
Teaching, on the other hand, is top-down. It tries to impose structure, compress knowledge, and guide attention. At its best, it accelerates learning by highlighting what matters. At its worst, it replaces understanding with memorization. It is mostly about language.
The tension arises because teaching often assumes clarity before the learner has built the underlying model. Concepts are delivered in neat sequences, while real understanding emerges in fragments, revisions, and mistakes.
That is why western education is about language. It is about teaching. The teacher speaks – the student hears. And is supposed to learn. In practice he only passes an exam because the teacher sets the paper and only asks questions that were TAUGHT. The basic premise is that the teacher knows.
And that is where western education fails. And that is why LLM will never produce artificial general intelligence or replace humans. At least not for now.
Ancient thinkers were aware of this gap. Our ancient masters from Lord Krishna to Gautam Buddha didn’t lecture alone. They asked questions, forcing learners to construct knowledge themselves. The method worked not because it transferred information, but because it triggered the process of learning. Can we emulate this in Machines ? Not with LLM. And not using GPUs in a data centre.
All claims to the contrary are humbug. It doesn’t matter what the claimants valuation is ?
Modern systems face the same divide. Large language models are trained on vast amounts of human-generated “teaching,” while more ancient wisdom in Gurukula relied on interaction and feedback to truly “learn” how the world works.
The implication is simple but uncomfortable: teaching does not guarantee learning. The actual work of building understanding always happens inside the learner.
The future of education, whether human or machine, will depend less on better articulation and more on designing better learning environments.
