Methods and Tools in Technology

optional Theme - Technology

What kind of knowledge does technology produce - and what kind requires something it cannot supply?

This page is about both methods and tools. A tool is an instrument: the microscope, the tape recorder, the calculator. A method is a procedure: the double-blind trial, oral history, statistical analysis. The relationship between them is not simple. Tools make methods possible: the microscope enabled germ theory; the tape recorder enabled a new form of oral history. Methods also determine which tools count: a scientific paradigm decides which instruments produce valid data. Sometimes the same thing is both: writing is a tool that encodes language and a method that restructures thought. The page uses both words deliberately. When asking what technology does to knowledge, it matters whether you are asking about the instrument or the procedure - and how each shapes what can be found.

THE PROVOCATION

You are carrying a recording studio. Are you using it?

The video opposite is me when I was 16. I have finally found an excuse to include it in a lesson. Although I had cool hair and a guitar, there was nothing more than I wanted at that age than to go into a professional recording studio to record my songs. Unfortunately for me and the history of popular music, that never happened. I was born in 1968, a few months before the Apollo 8 mission finally took humans out of the Earth's orbit, heading for moon. When talking about technology it is customary to point out that the phone in your pocket contains more computing power than it took to put humans on the moon. (It is actually millions of times more powerful). But there is something much more interesting.

The day I was born, the Beatles were nearing the end of recording their famously difficult White Album at Abbey Road Studios. It took them about five months and cost - in today's money - well over £1 million. Making the studio work required engineers and producers who were specialists, with careers built around the specific knowledge of what the machines in the studio could do. And here is the point. The music recording software on a standard iPad today has considerably more power than Abbey Road had in 1968. It also has built-in instruments and mixing capability that would have been impossible to imagine fifty years ago. And that same iPad also has a film editing suite, an animation studio, a darkroom, a publishing platform, and access to the largest library of human knowledge ever assembled. A teenager in 2025 carries, in one pocket, the creative infrastructure that previous generations could only have dreamt of.

In 1945, the American engineer Vannevar Bush published an essay called "As We May Think" in the Atlantic Monthly. Bush imagined a desk-sized device he called the Memex - a machine that would store books and communications, and allow the user to move between them through associative trails rather than alphabetical indexes. The key innovation was linkage: the ability to follow a thought wherever it led, and to leave a trail that others could follow. Bush wrote this before digital computers existed in any recognisable sense. The internet, as it developed fifty years later, came closer to what he imagined than to anything else that had existed before.

And yet. Having all the knowledge in the world on the internet does not stop most people scrolling through cat videos. The iPad that contains GarageBand also contains TikTok, and TikTok was built by a large team of engineers whose specific professional expertise was making it difficult to stop. The tool that could be a studio and the tool that captures attention for advertising sit on the same screen. The capability is there. Something else determines whether the capability becomes knowledge. That something is what this page is about.

Three big ideas. First: information and knowledge are different things - and the tool that retrieves one is not automatically the tool that produces the other. Second: a machine that produces correct outputs may be doing something genuinely different from what a person does when they know something. Third: some tools make possible kinds of knowledge that could not exist without them - and understanding what those tools do to the knower matters as much as understanding what they do to the known.

The Beatles - While my guitar gently weeps
The Beatles

In the unlikely event that you don't know much Beatles, this is my favourite track on the White Album. Not by Lennon or McCartney, George Harrison emerged as a major songwriter with "While My Guitar Gently Weeps." Frustrated that the other Beatles were not taking his songs seriously, Harrison wrote the track as a reflection on conflict and missed human connection. He invited his friend Eric Clapton to play the famous lead guitar, helping ease tensions in the studio. The emotional song became one of the album's defining moments.

Big idea 1 - Having information is not the same as knowing.

Data, information, and knowledge are not the same thing. Data is raw: a temperature reading, a test score. Information is organised data: a weather forecast, a grade report. Knowledge is something further still: understanding that is contextualised and usable. The meteorologist who knows what a particular combination of pressure and humidity means for tomorrow's weather has knowledge; the thermometer that produced the reading has data. The distinction seems obvious when stated. It becomes less obvious when the tools available are so good at moving from data to information that the gap between information and knowledge becomes easy to overlook.

Vannevar Bush's insight in 'As We May Think' was that retrieval was the central problem for human knowledge - and that retrieval organised by association rather than by alphabet would match the way human thought actually works. The internet is closer to this than any previous technology. You can follow a thought from one source to another, across disciplines and continents, in seconds. The trail Bush imagined is now available to anyone with a connection. But following a trail of links is a different activity from understanding what the links connect. Information retrieval is a tool. The knowledge of what to do with what you find is a method - and it is not supplied by the search engine.

A student who uses a calculator throughout their mathematical education can produce correct numerical answers without developing a sense of scale and plausibility i.e. the ability to know, without calculating, that an answer is roughly right or obviously wrong. The arithmetic is outsourced. The GPS makes a parallel argument about spatial knowledge: you can navigate successfully without knowing where you are, without building the mental map that previous generations assembled through getting lost and finding their way. The tool removes a burden; it may also prevent the development of the capacity the burden built. The tool undermines the knowledge.

AI writing tools bring the same question to its sharpest point. If a student uses a language model to draft an essay, the essay exists. It may be accurate and well-structured, and importantly for the student who is measured by outcomes it could get them a good grade with no effort. But what knowledge does it represent? The model produced it by predicting, at each step, which words were most likely to follow the previous ones, based on patterns in an enormous amount of archived text. It did not understand the question. It did not know what it was saying. The essay is a product of information processing. The grade and the learning have come apart and again the tool made that possible.

The Google Effect
MindfulThinks

The video explains the "Google effect" or digital amnesia, where people are less likely to remember information because they know it can be easily accessed online. Instead of storing facts, the brain focuses on remembering where to find them, treating the internet like an external memory system. Research shows people who expect to access information later recall less. While this reduces cognitive load, it raises concerns about overreliance on technology and potential memory weakening.

In 2011, the psychologist Betsy Sparrow published research showing that people are less likely to encode information they know is stored externally. When participants believed they could look something up later, they remembered it less well - and remembered, instead, where to find it. Sparrow called this transactive memory: a cognitive system distributed across people and, now, machines. We have always used other people as external memory - asking a colleague, consulting an expert. The internet extends this to an unprecedented scale. Transactive memory may be efficient. The question is what it means to know something you are not storing yourself, and whether there is a difference between knowing something and knowing where to find it.

Big idea 2 - Producing the right answer is not the same as knowing the answer.

In 1950, the mathematician Alan Turing proposed a test. Instead of asking whether a machine could think - a question he thought was ill-formed - he asked whether a machine could behave, in conversation, indistinguishably from a human. If it could sustain an exchange that a human judge could not identify as coming from a machine, Turing argued, we would have no useful grounds for denying it intelligence. The test reframed the question toward behaviour: what a machine can do.

The philosopher John Searle responded to this argument in 1980 with a thought experiment he called the Chinese Room. Imagine a person locked in a room. They do not speak or read Chinese. Through a slot, Chinese symbols are passed in. They look up the appropriate response in a detailed rulebook and pass Chinese symbols back out. To everyone outside the room, the room speaks Chinese. Conversations are coherent. The responses are appropriate.

But the person inside understands nothing. They are manipulating symbols according to rules. Searle's argument was that a computer running a program is in exactly this position: it processes inputs and produces outputs according to rules, without any understanding of what the symbols mean. Passing the Turing test, on this account, would demonstrate only very good symbol-manipulation. Whether anything was known in the process would remain entirely open.

Searle's argument might seem like a philosopher's thought experiment - a room that will never actually exist. AlphaFold shows that it has immediate practical force. In 2022, the AI system AlphaFold, developed by DeepMind, published predicted structures for over 200 million proteins - virtually every protein known to science. The protein folding problem - predicting how a protein's three-dimensional structure emerges from its sequence of amino acids - had been one of the central unsolved problems in biology for fifty years. AlphaFold solved it with accuracy matching or exceeding experimental methods that take researchers months or years per protein. The predictions are now used by scientists worldwide designing drugs and developing vaccines. In 2024, Demis Hassabis and John Jumper received the Nobel Prize in Chemistry for the work.

And yet AlphaFold cannot explain why a protein folds the way it does. It has no model of the physical and chemical forces involved and no understanding of the relationship between a protein's structure and its biological function. AlphaFold is a system that has found patterns in an enormous corpus of structural data and produces outputs that match what biology predicts - without any of the biology. This is Searle's Chinese Room at Nobel Prize scale. The outputs are correct. Nothing inside understands anything.

Michael Polanyi's concept of tacit knowledge identifies what AlphaFold lacks. As you encountered in Lesson 1 of Knowledge and the Knower, Polanyi's argument in The Tacit Dimension (1966) is that all knowing involves a personal, embodied dimension that cannot be made fully explicit. The cyclist cannot fully articulate how they balance. The experienced biochemist has a feel for why a structure is plausible - a sense of how physical forces constrain the possibilities - that AlphaFold has no access to. Polanyi described this as 'we know more than we can tell' - a formulation that is simple to state and surprisingly difficult to unpack. The tacit dimension of knowledge is the medium in which explicit knowledge lives - the sense of relevance and of where to look next, that makes explicit knowledge usable. Tacit knowledge cannot be captured in training data because it does not exist in a form that can be extracted. It lives in the body and in the relationship between knower and known.

Alphafold
Google DeepMind

AlphaFold produces results that exceed human capability in a scientific domain with direct medical consequences. But it cannot explain why a protein folds as it does. It has no model of the physical and chemical forces involved and no ability to reason about why its predictions are right. Hassabis has described it as pattern recognition at unprecedented scale. If a system produces results that no human could produce, but cannot account for how it produced them, what kind of knowing does that represent?

Big idea 3 - Some tools do not just assist knowledge - they make it possible.

The standard assumption about tools is that they help you do what you were already trying to do, only faster or more accurately. The telescope helps you see what was always there. The calculator helps you compute what you could have computed by hand. On this view, tools are accelerants: they speed up existing knowledge-producing activities without changing their nature. This is sometimes true. The more important cases are where tools make possible kinds of knowledge that could not exist without them: knowledge that comes into existence through the tool rather than knowledge that was already there waiting to be found.

The tape recorder is one of the clearest examples. Before audio recording, oral testimony could only be captured by transcription - which is transformation rather than capture. The transcriber makes choices: about spelling, punctuation, which words to include, how to render dialect, whether to note the pause. The result is the transcriber's version of what was said. After the tape recorder, you have the voice itself: the hesitation before an answer, the authority of a speaker who knows they are being heard. The American folklorist and musicologist Alan Lomax used portable recording equipment in the 1930s and 1940s to document blues and folk musicians in the American South and the Caribbean. The recordings he made are a different kind of knowledge from what field researchers had produced before - irreplaceable, and impossible without the tool.

Alan Lomax - Ethnomusicologist
DocsOnline

This film shows early field-recording technology used to preserve American folk music: an old wax-cylinder Edison recorder and a heavy portable disc-cutting machine like those used by Alan Lomax in the 1940s. Sound from microphones was etched directly onto acetate or aluminum discs, creating valuable archives of singers and spoken traditions that might otherwise have disappeared. The collection includes around 30,000 field recordings, providing historians and musicians with unique insights into American folk culture.

Later, multi-track music recording transformed what could be composed. Les Paul, working in his New Jersey garage in the late 1940s, found ways to record one guitar part and then play against the recording, layering sounds that no single performance could produce. What he invented was a new way to make music: composition as an activity that happens in the editing as much as in the playing. Sgt. Pepper is an object of a different kind from a live performance - one that only the studio made possible. The transistor amplifier gave the electric guitar feedback and distortion that engineers had previously tried to eliminate as defects. Musicians heard them as vocabulary. A new sonic knowledge - the knowledge of what those sounds could mean and what could be done with them - came into existence with the tools that produced them.

The IB Exhibition and material tools

Our IB students have submitted tape recorders, video cameras, electric guitars, and old phonographs as exhibition objects under Prompt 23: How important are material tools in the production or acquisition of knowledge? The argument that earns marks is that the tool changes the nature of the knowledge, not just the speed of its acquisition. That the tool is useful is obvious and earns nothing. A tape recorder used in an oral history project is a strong object because it enables a specific kind of knowledge - the recorded voice, with all its weight - that transcription does not produce. A video camera used in athletic coaching is strong for the same reason: the knowledge of one's own movement from outside, available for re-analysis, is a different kind of knowledge from proprioceptive knowledge. The exhibition argument asks: what kind of knowledge does this tool make possible, and what would be unknowable without it?

This is Jade, a student at Ecole Moser, at the 2026 IB TOK Exhibition responding to Prompt 26: Does our knowledge depend on our interactions with other knowers? She argues that yes, the video of her dancing shows what 'really happened' but it does not show what the audience felt, or what the dancers projected on stage. Those things only exist in the interaction between performer and audience - in the shared moment that the camera records the outside of but cannot enter. Her observation is a precise and unprompted statement of Polanyi's tacit knowledge argument. The camera produces one kind of knowledge: replayable and available for analysis. It cannot produce the knowledge that exists in the relationship between knower and known - the knowledge that dance, at its most significant, is trying to transmit.

The video camera gave athletes and dancers a form of self-knowledge that had been genuinely unavailable before. Proprioception - the body's internal sense of its own position and movement - tells you something about what you are doing. The camera tells you something different, and sometimes contradictory. A dancer who watches footage of their own performance sees things their body did not tell them: the timing of a transition and the way an arm moves in relation to what the rest of the body is doing. This is a different kind of knowledge from what the mirror provides or what a teacher's correction provides - the view from outside, replayable and pausable, available for analysis at any speed. Coaches in sport have built entire methodologies around this new kind of self-knowledge. The knowledge did not exist before the tool.

Writing belongs in this argument, and it connects the Technology theme directly to the Language theme. Walter Ong, whose work on orality and literacy appears in the Language Scope page, argued that writing is a technology that restructures consciousness rather than simply recording speech. A written text can be re-read, revised, quoted out of context, and separated entirely from the person who produced it. This makes possible forms of argument and self-criticism that are structurally unavailable in oral cultures. The tool of writing creates the conditions in which those forms of thought can develop - the absence of those forms in oral cultures reflects the absence of the tool. The connection to this page is direct: writing was the first technology to create knowledge that could not have existed without it. Every subsequent tool - the printing press, the tape recorder, the recording studio, the video camera, the internet - extends the same argument into new domains.

Muybridge, The Attitudes of Animals in Motion
Smarthistory

'New tools make new knowledge' applies well to photography - see the Arts AOK for more details. The photograph appears to be a record of what was there. But the photograph also created new forms of knowledge: of how a horse moves at full gallop (Muybridge's motion studies, 1870s) and of what a battlefield looks like from inside it (war photography). These were not things that a better description would eventually have captured. The tool made new knowledge in a form that language alone could not produce.

Bringing it together

The tools are extraordinary, but the knowledge is not automatic.

The provocation at the top of this page asked why a teenager with a professional recording studio in their pocket might spend their time scrolling instead. The three big ideas give three different answers.

The first answer is that information is not knowledge. The iPad contains GarageBand, but GarageBand contains no understanding of music and no ear for what a mix needs. It is an instrument. Playing it well requires the kind of knowledge that only practice and the experience of failure can build - and the scrolling alternative is specifically engineered to make that kind of sustained effort feel unnecessary.
The second answer is that pattern-matching is not knowing. A machine can produce a piece of music by learning the statistical patterns of existing music. The result may be technically correct and aesthetically empty, or occasionally striking, but it has no understanding of what music means, and no relationship between the sounds and an experience of the world. This is a description of what the machine is doing. The question is what it means to use such a machine as a tool for making music, and whether the knowledge that music-making builds is bypassed or transformed.
The third answer is the most demanding. The tools that created genuinely new knowledge - the tape recorder and the recording studio - did so because someone brought to the tool a question, an intention, an ear, and the understanding of what the result meant. Lomax brought a knowledge of musical tradition and the recognition that what he was hearing was irreplaceable. Les Paul brought decades of musical knowledge and the specific intention of making sounds that had never existed. The tool made the knowledge possible; it did not make it inevitable. The gap between possible and inevitable is where the knower lives.

Next: Optional Theme 2: Technology - Ethics.

Questions, assessments, films and other stuff.

Questions to think about

Bush imagined the Memex as a tool for associative thought - following ideas wherever they led. The internet came closer to this than anything that existed before. Does the availability of associative retrieval at scale change what knowledge is, or only how it is accessed?
The calculator removes the burden of arithmetic. GPS removes the burden of navigation. Auto-translate removes the burden of learning a language. In each case, something is gained and something may be lost. Is there a principled way to decide which cognitive burdens are worth keeping - or is the question always settled by convenience?
Searle's Chinese Room argues that symbol manipulation without understanding is not knowledge, regardless of how sophisticated the outputs are. Does the argument still hold if the system's outputs are indistinguishable from those of a genuine knower - and if the distinction makes no practical difference?
AlphaFold solved a problem that stumped biology for fifty years, producing results no human researcher could have produced in the same timeframe. Polanyi argued that expert scientific knowledge includes a tacit dimension - a feel for why an explanation is right, not just whether it fits the data. Does AlphaFold have that tacit dimension - or does it have something different that produces similar outputs? Does the distinction matter if the results are indistinguishable from those a knower would produce?
Lomax's tape recorder made possible a form of oral history that transcription could not produce. Does this mean the tape recorder deserves some credit for the knowledge it enabled - or is knowledge always ultimately the product of the knower, with tools merely extending what they could already do?
Writing restructured consciousness, according to Ong. If a new tool - the internet, AI, the smartphone - is restructuring consciousness now, would we be able to tell from inside the change? What would the evidence look like?
The video camera gave athletes and dancers self-knowledge that proprioception could not supply. Is this a case of a tool extending existing knowledge, or of a tool creating a new kind of knowledge? How would you decide?

Exhibition connections
See more exhibition ideas and previous student work here

It is never too early to start thinking about your TOK Exhibition. The ideas in this lesson connect strongly to three of the 35 prompts. Start noticing objects in the world around you that speak to these questions.

Prompt #20: What is the relationship between personal experience and knowledge?

Suggested object: a musical instrument or a craftsman's tool, or any object where the knowledge of how to use it is inseparable from the experience of using it. Polanyi's argument is that the tacit dimension of knowledge - the feel, the judgment, the sense of when something is right - cannot be separated from personal experience and transmitted as information. The exhibition argument asks what kind of knowledge the object requires, and whether someone who had only read about how to use it would know anything useful. The strongest essays will engage with what "personal experience" actually adds - and whether it could in principle be replaced by a sufficiently detailed description.

Prompt #3: What features of knowledge have an impact on its reliability?

Suggested object: a GPS device, a search engine interface, a calculator, an auto-translate tool, or any technology that produces outputs that users tend to trust as reliable. The argument connects Big Idea 1 to the question of reliability: the tool produces outputs that look like knowledge, and users often treat them as reliable without examining the gap between the output and the understanding it appears to represent. A GPS gives you a route; the knowledge of the territory has to come from somewhere else. A search engine returns results ranked by an algorithm; knowing which sources are authoritative requires a different kind of judgment. The exhibition argument asks what features the knowledge produced by the tool actually has - and what features it lacks that would make it fully reliable.

Prompt #9: Are some types of knowledge less open to interpretation than others?

Suggested object: a tape recording, a video, a photograph, a digital document, or any tool that appears to produce an objective record. The argument from Big Idea 3 is that the record is never simply what was there: the tape recorder captures what was in front of the microphone, at a particular moment, edited by the decisions of the person who pressed record. The video is a selection and a sequence. The photograph is a frame. The exhibition argument asks whether the apparent objectivity of recorded evidence is a feature of the knowledge it produces or an illusion generated by the tool - and whether some kinds of recorded knowledge are genuinely less open to interpretation than others.

Feature films
For more see my 10 films for the TOK journey page.

🎬 WATCH — How Simple Ideas Lead to Scientific Discoveries (2012)

Adam Savage

Savage traces two famous scientific discoveries - Eratosthenes measuring the circumference of the Earth with sticks and shadows, and Hippolyte Fizeau measuring the speed of light with a spinning gear and a mirror - and argues that both required not sophisticated equipment but deep attention and a willingness to follow a simple idea to its conclusion. The tools were minimal. The method was everything. For TOK: does Savage's argument support or challenge the claim that tools create knowledge? Is his point that simple tools are sufficient - or that the knowledge always lives in the person using them, regardless of the tool's complexity?

🎬 WATCH — Ex Machina (2014)

Alex Garland

A programmer is invited to a remote research facility to administer the Turing test to an AI called Ava. The test is not straightforward: Caleb knows he is testing a machine, which means he is not testing whether the machine can fool him, but whether it has something worth calling genuine intelligence. The film is structured around the question of whether Ava's responses are evidence of understanding or of very sophisticated pattern-matching - and whether the distinction matters. The ending refuses to resolve this question cleanly. For TOK: what would the Chinese Room say about Ava? And if Polanyi is right that knowledge has a tacit, embodied dimension, does Ava's physical presence in a body change the analysis? My students can access the film here

🎬 WATCH — Black Mirror: The Entire History of You (2011)

Brian Welsh

Everyone in this near-future world has a grain implanted behind the ear that records everything they see and hear. Memory can be replayed on a screen, paused, reviewed, and shared. The episode asks what changes about knowing when nothing can be forgotten and everything can be verified. Personal memory is normally reconstructive - we do not replay events, we rebuild them, and the rebuilding is shaped by what we now believe and feel. The grain removes this reconstruction. For TOK: is access to a perfect record of your own experience a form of knowledge - or does it replace a kind of knowledge (the lived, interpreted, personally meaningful past) with something different? The Sparrow transactive memory argument applies directly: if the grain stores your memories, are they still yours? My students can access the film here

optional Theme - Technology