I recently came across the following graphic circulating on LinkedIn, summarising several popular “learn faster” techniques, eg Pareto learning, spaced repetition, memory palaces, and the Feynman technique. At first glance they appear contemporary and innovative. In reality, most of these methods are decades old, and some trace back centuries.
The techniques, like many within educational systems, are decades old. The question is whether they serve in today’s rapidly changing environment or whether they ever truly did.
The techniques in the graphic: Pareto, spaced repetition, memory palaces, the Feynman technique are not new discoveries. Most of them date back decades, and some stretch back centuries. The issue isn’t whether they work; many clearly do. The deeper question is what problem they were originally designed to solve.
Most traditional learning techniques were developed for a world in which knowledge was relatively stable, scarce, and slow to change. In that environment, education had a very clear function: transmit existing knowledge efficiently from one generation to the next. Memorisation, repetition, and recall made perfect sense when the goal was to produce clerks, administrators, engineers, and professionals who could reliably reproduce established methods. Accuracy mattered. Consistency mattered. Deviation from the established answer was often seen as error rather than innovation.
“How do we think better?”
But we now live in an environment where knowledge is abundant, searchable, and constantly evolving. Information is no longer scarce; it is overwhelming. In such a world, the bottleneck is no longer memory. It is judgment, synthesis, and original thinking. The question therefore becomes not “How do we remember more?” but “How do we think better?” Techniques designed for information retention may still have value, but they may no longer address the core capability modern environments demand.
That’s where the critique of rote learning becomes particularly interesting. If repetition and recall primarily produce conformity and standardisation, their role may have been less about learning in the expansive sense and more about social coordination – training people to think within the same framework. Large societies require shared assumptions, shared procedures, and shared answers. Rote learning provides a simple and scalable mechanism to achieve that. It ensures that thousands, or millions, of people arrive at the same answer through the same process.
Rote learning provides a simple and scalable mechanism to ensure that thousands, or millions, of people arrive at the same answer through the same process.
In a rapidly changing environment, however, the more valuable skill may not be remembering the answer, but recognising when the question itself has changed.
This raises a natural question:
what was the backdrop that birthed rote learning and many of the techniques that still dominate education today?
Thinking back to my childhood classrooms, eg blackboards, times tables, spelling bees, handwritten tests, lyrical recitals it highlights that much of my learning was repetitive and procedural. As I wrote elsewhere, mathematical learning seemed to stop at 12 × 12.
The historical backdrop for this model was the Industrial Age.
Modern schooling including the widespread use of rote learning largely took shape during the nineteenth century, a period when societies were rapidly constructing mass bureaucracies, expanding factories, and consolidating nation-states.
Governments suddenly needed millions of people who could perform certain basic tasks reliably and predictably. These included the ability to read instructions, follow procedures, calculate basic figures, and reproduce information accurately.
Education systems were designed to meet this demand.
The classroom model itself mirrored the logic of the factory.
Rows of desks facing forward resembled assembly lines. A teacher at the front functioned as the central authority, distributing information to be absorbed and repeated. The school bell structured the day into fixed intervals, not unlike shifts in a factory. Lessons were standardised. Drills were repeated. Performance was measured through tests designed to determine whether the correct answer had been memorised and reproduced.
Rote learning was not an accident of poor pedagogy. It was an efficient method of mass training.
Times tables, spelling drills, and recitations served several purposes simultaneously. They strengthened memory. They built discipline. And they ensured that large populations could be taught the same knowledge in the same way. For systems that depended on coordination, eg governments, armies, and corporations, this standardisation was extremely valuable.
Memories of blackboards, spelling bees, times tables, and recitals are strikingly similar to what existed a century and a half ago. The structure of schooling changed very little because the underlying purpose changed very little. The goal was to produce a population capable of standardised competence.
The example of learning stopping at 12 × 12 is particularly revealing. The intention was not to cultivate deep mathematical curiosity or conceptual exploration. Instead, the goal was functional numeracy. People needed to perform basic arithmetic in everyday economic life, eg bookkeeping, wages, trade calculations, and simple accounting. Once that threshold of competence was reached, the system moved on.
In this sense, rote learning was never primarily about intellectual development in the broader sense. It was about reliability and coordination. Large systems require people who can perform predictable tasks with predictable outcomes. Repetition is one of the fastest ways to produce that predictability.
From the perspective of nineteenth-century institutions, this approach made perfect sense. The world those institutions inhabited moved relatively slowly. Knowledge evolved incrementally. Professions remained stable for long periods of time. A person could learn a set of procedures early in life and apply them for decades without needing to fundamentally rethink them.
But that stability is now dissolving.
Today knowledge expands continuously, and technological change reshapes entire industries within a single generation. Information can be accessed instantly through digital networks. Artificial intelligence can retrieve and synthesise facts faster than any individual mind.
Under these conditions, the educational emphasis on memorisation begins to look less like preparation for the future and more like a legacy of the past.
This does not mean that memory has no value. Memory remains a foundation for understanding. But the central capability required in contemporary environments increasingly lies elsewhere: the ability to question assumptions, recognise patterns, combine ideas from different domains, and adapt when conditions shift.
In other words, the capacity to think rather than merely recall.
This brings us back to the deeper question that sits beneath the debate about learning techniques. If education was designed for a world of stable knowledge and hierarchical institutions, what happens when knowledge changes constantly and institutions themselves are being questioned?
That tension is precisely where the critique of rote learning begins to bite. Techniques that were once effective for transmitting established knowledge may now be inadequate for cultivating the kind of thinking required in a world defined by complexity, uncertainty, and continual change.
The question is no longer simply how efficiently we can teach people to remember. The question is whether our systems of education are capable of nurturing the curiosity, imagination, and intellectual independence that genuine learning demands.