Lesson 2: The TOK Framework

Once you can ask good knowledge questions, you need a systematic way to explore them. The TOK course gives you a structure: a core theme, optional themes, areas of knowledge, and a TOK framework of four elements to examine each area. This lesson maps that structure so you can see how the course fits together and how it connects to the rest of your studies.

The architecture of the course

• Core theme: Knowledge and the knower. Everyone studies this. It explores how our identity, experiences, culture and biases influence what we know and how we know it. It also asks about the different ways of knowing that people use, such as relying on evidence, reason, intuition, authority or memory.
• Optional themes (you study two of five): knowledge and technology, knowledge and language, knowledge and politics, knowledge and religion, knowledge and indigenous societies. These give you context-rich ground for applying TOK ideas.
• Areas of knowledge (AOKs): history, the human sciences, the natural sciences, mathematics, and the arts. They are the broad disciplines where organised knowledge is produced.
• Assessment: an exhibition of three real-world objects connected to a prompt (internally assessed) and an essay of at most 1,600 words answering one of six prescribed titles issued by the IB for each exam session (externally assessed). Details of weighting and marks can change, so always check the current subject guide.

The four elements of the TOK framework

When you study any area of knowledge or optional theme, you examine it through four lenses. The IB uses the acronym SPME in many teaching materials. The lenses are: Scope, Perspectives, Methods and tools, and Ethics.

### 1. Scope What is the area about, and what problems or questions is it trying to address? Scope also asks about limits: what can this area not tell us? Natural science can describe how a virus spreads; it cannot, by itself, tell us whether a lockdown is morally justified. Mathematics deals with abstract structures; it cannot say whether a given painting is beautiful. Understanding scope guards you against two mistakes: expecting an area to answer questions beyond its reach, and dismissing an area because it does not answer questions it was never designed to address.

### 2. Perspectives Whose views shape the knowledge in this area? Perspectives include the viewpoints of individuals, groups, cultures, historical periods and disciplines. A historian writing from the colonised country and one writing from the colonising country can interpret the same events differently. A medical researcher and a patient may define "recovery" in different ways. Perspectives also change over time: our understanding of planetary motion shifted from an Earth-centred to a Sun-centred model.

Perspectives raise questions about bias and objectivity. A perspective is not automatically a distortion; it is the position from which knowledge is created. The task is to be aware of it, to compare it with others, and to ask what it reveals and what it hides.

### 3. Methods and tools How is knowledge produced and tested in this area? Methods include controlled experiments, mathematical proof, close reading of sources, surveys, field observation, modelling and artistic practice. Tools include instruments (microscopes, telescopes), technologies (statistical software, archives, digital tools, artificial intelligence), and conceptual tools (models, theories, categories, vocabularies).

Questions to ask: What counts as good evidence here? How is evidence checked? How are errors detected and corrected? What assumptions does the method rely on? What can the method not capture?

### 4. Ethics What moral questions arise when knowledge is produced and used? Ethics covers the treatment of research participants, the use of data, the consequences of applying knowledge (nuclear energy, gene editing, facial recognition), and who benefits or is harmed. It also covers the ethical responsibilities of the knower: honesty, acknowledging sources, avoiding distortion.

A worked example: the natural sciences

• Scope: explaining and predicting natural phenomena; cannot by itself decide values questions.
• Perspectives: scientific communities, the influence of dominant theories (paradigms), differing interpretations of the same data, the role of funders and national priorities.
• Methods and tools: observation, experiment, hypothesis testing, mathematical models, peer review, instruments such as particle accelerators and satellites.
• Ethics: animal and human research, environmental impact, dual-use research, open sharing of data.

Now ask a knowledge question: "To what extent does scientific knowledge depend on the instruments used to produce it?" You can explore scope (what instruments allow us to observe), perspectives (theory-laden observation), methods (calibration and replication) and ethics (who has access to instruments).

Using the framework with the themes

The framework is a flexible toolkit. For the optional theme *knowledge and language*, scope asks what language can and cannot express; perspectives ask how different languages categorise the world; methods and tools ask how translation and definition work; ethics asks about language and power, such as euphemism or the loss of endangered languages. For *knowledge and technology*, ethics might consider algorithmic bias; methods might consider how digital tools process knowledge.

Connecting to your other subjects

TOK does not replace your other subjects; it examines them. Make a table for each of your IB subjects with the four framework headings and one example under each. You will find that your Physics course raises questions about models and uncertainty, your Literature course about interpretation, your Economics course about assumptions and human behaviour, and your Visual Arts course about meaning and cultural context.

Common errors

• Treating the framework as a checklist that must appear in every paragraph. It is a thinking tool; use whichever lens is most illuminating for your question.
• Listing features without analysis. Writing "Perspectives matter in history" is not analysis; showing *how* a particular perspective shaped an interpretation of a particular event is.
• Forgetting the knower. Many strong TOK ideas link the framework back to the person doing the knowing.

Case file: the same event through the four lenses

In 2019 a fire seriously damaged the Notre-Dame cathedral in Paris. Within days, donations of hundreds of millions of euros were pledged, and debates began on how to rebuild. Apply the framework. Scope: historians, architects and engineers are trying to establish what the cathedral was like and how it can be restored; they cannot decide alone whether it *should* be rebuilt identically. Perspectives: conservationists favour authenticity, architects may favour contemporary design, and donors, residents and the wider public bring cultural and religious meanings. Methods and tools: laser scans made years earlier by an art historian gave a precise digital record; dendrochronology (tree-ring dating) helps understand the age of timbers; centuries of drawings and texts supply further evidence. Ethics: how should funds be prioritised when other needs are urgent; who owns heritage; how should lead contamination from the fire be handled for workers and neighbours. One event yields insights in all four elements and shows why TOK treats them together.

Two sides of a question

"Is the TOK framework a helpful tool or an artificial structure?"

• Helpful: it prompts you to ask questions you might skip, supports comparison between areas of knowledge, and gives a shared vocabulary to discuss assumptions.
• Artificial: real knowledge-making does not divide neatly into four boxes, and using the headings mechanically produces lists rather than insight.

A sensible conclusion: treat the framework as a set of prompts, and use whichever lens exposes something non-obvious about the particular situation.

Worked model answer

*Practice task: use the framework to analyse "the use of artificial intelligence to diagnose medical images".* Scope: AI systems can find patterns in scans associated with diseases; they cannot decide what level of risk is acceptable for a patient. Perspectives: radiologists, patients, hospital managers and technology companies value accuracy, trust, cost and liability differently. Methods and tools: models are trained on labelled images and tested on held-out data; their performance depends on the diversity of training data, which means they may perform worse on groups that were under-represented. Ethics: responsibility when a model errs, privacy of images, and fairness across populations. A knowledge question arising from combining methods and ethics: "To what extent can the performance of a technology tested on one population justify its use on another?"

Discussion questions with guidance

• *Which element of the framework would you use first to analyse a controversial new technology, and why?* There is no single answer. Many students begin with scope (what it can and cannot do) because it prevents exaggerated claims, then add ethics. Whatever you choose, justify the order.
• *How could you test whether a framework is useful?* Apply it to two unfamiliar topics and ask whether it surfaced insights you would have missed.
• *Do the optional themes overlap with the areas of knowledge?* Yes, and that is deliberate: a theme such as knowledge and technology cuts across areas, enabling comparison.