Guiding Questions & TOK Elements (DP IB Theory of Knowledge): Revision Note
Summary, terminology & practice
Here we will summarise the main ideas for each of the sections covered in the core theme
Scope of the core theme
Section | Content summary | Example | Possible knowledge questions |
|---|---|---|---|
The individual as a knower | An individual knower’s “scope” is limited by what they can directly detect and attend to. Memory further narrows scope, because recall is partial and reconstructive, so personal knowledge of past events can change over time. Tools can widen the scope of what an individual can know, but the knower then depends on the tool’s limits and their understanding of how it works. | A student is confident they “saw exactly what happened” in a corridor incident, but later realises they were focused on one person’s tone and missed who started it; a week later, their recollection shifts after hearing classmates’ versions. | What are the limits of what an individual can know from personal experience alone? To what extent does the reconstructive nature of memory constrain the scope of personal knowledge? How do tools change the scope of what an individual can know? |
Sources of knowledge | Personal experience is vivid but narrow in scope because it depends on one person’s situation, attention, and later recall. Testimony greatly widens scope by giving access to events and expertise beyond direct experience, but what counts as “available knowledge” is limited by which voices are heard, how information is selected, and whether claims can be checked against independent sources. Reflection/metacognition widens scope by helping a knower notice gaps (what they do not know yet) and actively seek corroboration or better evidence. | A student thinks that everyone agrees a particular study method is best because friends and short videos repeat it, then realises their view comes from a narrow set of sources and broadens it by incorporating teacher guidance, multiple student experiences and evidence from controlled studies. | How does relying on testimony affect the scope of what we can know? What limits are created by the availability or amplification of sources? How can reflection help a knower recognise the boundaries of their current knowledge and expand them responsibly? |
The knower in communities | Communities can widen the scope of knowledge by pooling experience, sharing stories and coordinating what gets noticed, recorded and taught. Community scope is also bounded by norms and power: communities tend to preserve what supports identity or shared goals, and they may overlook, exclude or silence perspectives that do not fit, creating blind spots. The scope of what the community “knows” therefore depends on who is included, what methods or sources the community accepts and what it chooses to remember or forget. | A school community strongly promotes the story that “hard work always leads to success,” which supports motivation, but it can obscure structural barriers faced by some students, such as deprivation, low attendance or bullying. | How do community norms and shared narratives shape the boundaries of what a community treats as knowledge? In what ways can excluding certain voices create blind spots in a community’s knowledge? How can we tell whether a community’s “common knowledge” reflects broad evidence or just what the community pays attention to? |
Perspectives and the core theme
Section | Content summary | Example | Possible knowledge questions |
|---|---|---|---|
The individual as a knower | An individual’s perspective is shaped by prior beliefs, expectations, emotions and identity; these act as filters that influence what they notice, what they treat as relevant, and which explanations feel plausible. Because different knowers have different background assumptions and emotional stakes, they can interpret the same information in different ways, even when the sensory input is similar. | After seeing the same news clip, one student treats it as strong evidence because it matches what they already believe, while another treats it as weak evidence and looks for full context and independent sources. Their different expectations lead them to form different knowledge claims about what “really happened. | What factors most strongly shape an individual knower’s perspective on an issue? To what extent can an individual recognise and correct for their own perspective when making knowledge claims? When two knowers interpret the same information differently, how can we decide whether the difference is due to evidence or perspective? |
Sources of knowledge | Personal experience is interpreted through a knower’s values and prior beliefs, so the lesson learned from the same event can differ between people. Testimony is also perspective-dependent because sources select facts, frame language, and apply assumptions about what counts as good evidence. Reflection can reduce the impact of one-sided perspectives by prompting knowers to compare sources, look for missing viewpoints, and separate the claim from the framing used to support it. | Two news reports describe the same protest: one emphasises property damage and calls it “unrest,” while the other focuses on motivations and calls it “a demonstration.” A viewer who relies on only one report forms a knowledge claim about what really happened that matches the report’s framing; comparing both (and checking original footage/statements) shifts their conclusion and shows how perspective shaped the testimony. | How do the perspectives of sources (e.g. media outlets, experts, institutions) influence the knowledge claims we form from their testimony? When different sources frame the same event differently, what methods can a knower use to reach a justified conclusion? To what extent can comparing perspectives improve the reliability of what we claim to know? |
The knower in communities | Communities shape perspective by providing shared assumptions, priorities and language that influence what members treat as “obvious,” “reasonable” or “offensive”. Norms and group identity can reward agreement and discourage dissent, so members may adopt the community’s way of interpreting evidence to maintain belonging. Different communities can interpret the same facts differently because they start from different values and rank evidence differently, e.g., expert statistics vs lived experience. | Two community groups discuss the same public policy report. One group treats official statistics as the strongest evidence and concludes the policy is working; the other prioritises local testimonies of harm and concludes the policy is failing. Each group’s shared values and preferred evidence sources shape the collective takeaway, even though they are responding to the same topic. | How do community norms and shared values shape what members count as convincing evidence? When communities interpret the same facts differently, how can we evaluate which conclusions are better justified? To what extent should knowers revise their views when their community’s perspective conflicts with perspectives from outside the group? |
Methods and tools within the core theme
Section | Content summary | Example | Possible knowledge questions |
|---|---|---|---|
The individual as a knower | Individuals use methods (reasoning, testing, comparing) and tools (technologies that extend perception) to produce and test knowledge claims. Tools can widen what an individual can observe, but they do not remove the need for judgment; knowers must understand how the tool works, its limits, and how error or bias could enter (e.g. misreading outputs, faulty calibration). Reflection/metacognition supports better method use by helping a knower notice overconfidence, check assumptions and seek corroboration rather than relying on a single observation. | A student uses a heart-rate tracker to test whether caffeine affects their heart. At first, they conclude “caffeine does not affect me” based on one set of data, then they improve their method by repeating the test across multiple days, controlling other variables (e.g., recent exercise), and checking whether the device’s readings are consistent. | How do tools change what an individual can claim to know, and what new sources of error do they introduce? What makes a method of inquiry “good enough” for an individual to justify a conclusion? How can reflection help a knower decide when their evidence is sufficient to support a knowledge claim? |
Sources of knowledge | Personal experience often relies on informal methods (observation, trial-and-error), so conclusions can be harder to generalise. Academic disciplines use more formal methods (experiments, proof, source analysis) with standards for what counts as justification, so the same claim may be accepted in one discipline but questioned in another. Expert and institutional knowledge is shaped by tools like peer review, statistical analysis, and agreed procedures that increase reliability but still leave room for uncertainty. | A student hears “energy drinks improve focus” from friends (informal trial-and-error), then reads a study using controlled comparisons and a larger sample, and finally hears a teacher discuss limitations. Their judgment about the claim shifts as they compare the methods behind each source. | How do the methods used by a source affect the credibility of its knowledge claims? When two sources disagree, how can we compare the quality of their methods and tools? To what extent should non-experts rely on institutional methods (e.g. peer review) when they cannot directly check the evidence themselves? |
The knower in communities | Communities develop shared methods and tools that shape what counts as checkable knowledge: agreed procedures (e.g. peer review, exams, licensing) can raise reliability by making claims traceable and open to challenge. However, community methods can also narrow inquiry if only one approach is treated as legitimate, causing other evidence to be dismissed without evaluation. In online communities, the tools that organise information (feeds, ranking systems, moderation) strongly affect which claims circulate, how quickly they spread, and whether checking happens before acceptance. | In an online group, a striking claim spreads rapidly because it is highly shareable; members treat repeated reposts as confirmation of accuracy. Later, a moderator requires links to the original sources and removes posts that lack evidence, which slows sharing but increases the proportion of claims that can be checked. | How do a community’s shared methods determine what is accepted as knowledge within that group? When does a community’s preferred method improve reliability, and when does it create unjustified exclusion of other evidence? How do digital tools (ranking, virality, moderation) shape the quality of knowledge produced and shared in online communities? |
Ethics and the core theme
Section | Content summary | Example | Possible knowledge questions |
|---|---|---|---|
The individual as a knower | Ethical responsibilities arise from what a knower accepts and shares as knowledge. Because individuals rely heavily on testimony, deciding what to trust (and when confidence is justified) has ethical consequences: spreading unchecked claims can cause harm, and dismissing some voices without evaluation can reinforce injustice. Ethical judgement also involves recognising how bias (e.g. favouring in-group sources) can distort what a knower treats as credible, and taking steps to reduce harm by checking accuracy or withholding claims when evidence is weak. | A student shares a dramatic “health warning” video with certainty because it feels compelling, then realises it lacks evidence and retracts it after checking independent sources; they recognise that the ethical issue was not just being “wrong,” but risking harm by presenting an unchecked claim as knowledge. | What responsibilities do individuals have when they present a claim as knowledge to others? How should a knower act when evidence is uncertain but the potential harm of misinformation is high? To what extent is choosing which testimony to trust an ethical decision rather than a purely factual one? |
Sources of knowledge | Ethical issues arise from how sources produce, frame and distribute knowledge. Sources can misuse authority (e.g. presenting weak evidence with high certainty), omit limitations or allow conflicts of interest to shape conclusions. Institutions and experts also shape whose knowledge is heard: unequal access, historical exclusion, and funding priorities can create blind spots For a knower, ethical evaluation means not treating “expert” or “widely shared” as automatically trustworthy, and instead considering transparency, independence and the potential consequences of accepting or spreading the source’s claims. | A research claim is widely reported, but the funding source has a clear stake in the outcome. When the methods and limitations are not clearly communicated in media coverage, the public treats the claim as settled knowledge; later scrutiny reveals selective reporting, showing how ethical failures in sourcing and communication can distort what people know. | What ethical responsibilities do sources (experts, institutions, media) have when communicating knowledge claims to non-experts? How should conflicts of interest and lack of transparency affect the trust we place in a source’s testimony? When access and representation are unequal, how might that limit what is accepted as knowledge? |
The knower in communities | Communities have ethical responsibilities in how they maintain and spread shared knowledge. Norms and group identity can encourage members to repeat claims that protect belonging, even when evidence is weak, increasing harm through misinformation or stereotyping. Communities also shape fairness; whose testimonies are heard, who is treated as credible, and whether excluded groups face systematic dismissal. Ethical community practice involves correcting errors, being transparent about uncertainty and creating procedures that reduce harm while still allowing reasoned disagreement | An online community dismisses public health data as “propaganda” to protect group identity and repeatedly shares misleading claims; later, moderators introduce rules requiring sources and add correction posts. The community’s shared knowledge shifts, showing that ethical norms (accuracy, correction and harm reduction) can change what the group accepts and circulates. | What ethical duties do communities have to correct misinformation and reduce harm when sharing knowledge? How can community norms create injustice by excluding or discrediting certain knowers? When does protecting community identity conflict with the ethical responsibility to be accurate and transparent about knowledge claims? |
Terminology
Key terminology | Definition |
|---|---|
Perception | An awareness of something in and through the mind |
Perspective | Point of view, a particular way of seeing or considering something |
Empirical | Based on and verified by observation and experience |
Bias | Favouritism, pr having preference for a view |
Confirmation bias | The tendency to engage with, seek out and believe ideas and material that confirms what you already know/believe and to ignore or dismiss the ideas that disagree or prove you wrong |
False binary | The fallacy that there are only two options when in fact there are many, e.g. you either love cheese or you are wrong |
Deductive reasoning | Reasoning that draws conclusions from general principles applied to particular situations |
Inductive reasoning | Reasoning that draws general conclusions from particular observations |
Belief | A strong opinion, something thought to be true |
Values | Standards of behaviour; regard for things of important moral worth |
Personal knowledge | What you know through your own experiences and reflections, and is unique to you as an individual knower |
Shared knowledge | Knowledge produced and owned by groups, cultures, academic disciplines and communities |
Evidence | Signs that you can see, hear, experience or read to support the truth of an assertion |
Explanation | An account or statement that makes something clear |
Experiential knowledge | Knowledge gained through direct experience rather than theoretical learning, e.g. the knowledge of how to ride a bike |
Justification | A reason or reasons for a belief or support for a truth claim |
Certainty | Having no doubt |
Contestable | When there are multiple possible answers to the same question or multiple points of view on the same topic |
Subjectivity | Looking at the world from a personal point of view, under the influence of feelings and emotions |
Worked Example
Flood barrier decision based on model predictions
A town council is considering whether to spend £2 million on a flood barrier after a consultation report predicts a “high likelihood” of severe flooding within 10 years, based on modelling assumptions about storm frequency and land use. At a public meeting, a councillor argues, “we know severe flooding is coming in the next decade — the model shows it,” and urges immediate action.
Scope | The model expands what the council can claim to know beyond direct experience by using past data and assumptions to estimate future risk. The scope of the report is limited by what the model includes and measures; anything not modelled becomes a blind spot that can make the prediction less reliable. |
Perspectives | A resident on the floodplain may treat the prediction as more credible and urgent because the personal cost of being wrong (property damage, safety risk) is high, so they may interpret “high likelihood” as enough to act. A long-term resident who has “never seen flooding here” may interpret the model as less trustworthy because it conflicts with their personal experience, and they may treat local memory as stronger evidence than modelling. A hydrologist may interpret the model’s claim differently because they understand mechanisms (e.g. how land use, drainage, soil saturation, sea level, or storm intensity affect flood risk) and may treat the prediction as better justified if it matches known processes. |
Methods & tools | The reliability of the claim depends on modelling methods: choice of variables to test, scenario assumptions, data sources, and how uncertainty is estimated and communicated. Good practice would involve checking sensitivity (how much the prediction changes if assumptions change), comparing multiple models and considering other evidence, e.g. local flood records and environmental surveys. Treating the model results as “proof” can skip methodological checks and overstate what is justified, while treating it as “just guessing” can ignore structured, evidence-based forecasting methods. |
Ethics | Overstating certainty can mislead the public and reduce transparency, affecting consent and trust. Understating risk (or delaying action while demanding certainty) can increase harm if flooding occurs; ethical judgment includes how to act responsibly when evidence is based on probabilities. Risks and burdens are unevenly distributed (e.g. floodplain residents face a higher risk, while all taxpayers may share the costs), so ethical evaluation includes whose safety is prioritised and how decisions are justified to different stakeholders. |
Knowledge questions
To what extent can model-based predictions count as knowledge rather than justified estimates?
Consider how to separate what is known (e.g. the data used, the model’s assumptions and how well it has matched past events) from what is projected (the future outcomes under those assumptions)
Check how sensitive the conclusion is to key assumptions by asking whether small changes in inputs (e.g. storm frequency, land use, drainage capacity) would substantially change the forecast
How should uncertainty affect decisions when the potential harm of being wrong is high?
Weigh error costs on both sides by comparing the consequences of acting on an incorrect prediction (e.g. unnecessary spending/disruption) with the consequences of not acting when the prediction is correct (e.g. avoidable damage and safety risks)
Worked Example
A revision app claims to be “proven to improve grades by 20%”
A revision app advert says: “Proven to improve grades by 20%.” A student downloads it and tells friends: “We know this app works — it’s proven.” Later, the student clicks through to the evidence page and finds the “proof” is an internal study of volunteer users who used the app every day, with no control group and no explanation of how “20%” was calculated.
Scope | The claim “proven to improve grades by 20%” suggests a broad, general truth, but the evidence only supports a limited scope (a particular group of volunteers, using the app in a specific way, over a specific time). The scope is limited by what was measured and defined (what counts as “grades,” what counts as “improve,” and what “20%” refers to), and by what was not measured (prior attainment, tutoring, extra study time, motivation). |
Perspectives | A student who previously improved using a different revision app may interpret the “20%” as a realistic reflection of their own experience, even if the evidence is weak. A student who consistently struggles with tests may treat the claim as especially compelling because they want a reliable solution, and may interpret “proven” as a guarantee rather than a limited research finding. A teacher who regularly receives aggressive marketing emails for educational products may be sceptical by default, interpreting “proven” as sales language designed to sound scientific, and may demand clearer methods before treating the claim as true. |
Methods & tools | The claim depends on the method behind the study: who was selected (volunteers), what they were asked to do (daily use), what outcomes were measured and whether a comparison was made to a similar group who did not use the app. Without a control group or random assignment, the method cannot rule out alternative explanations (e.g., more motivated students chose to use the app daily), so the tool (data tracking inside the app) produces numbers but does not by itself justify a causal conclusion. More reliable methods would include a comparison group, transparent reporting of sample size and variation, and independent replication rather than only internal reporting. |
Ethics | Presenting a weak method as “proven” can mislead students into treating a claim as fact, affecting how they spend time and money. There is an ethical responsibility to communicate uncertainty and limitations clearly when claims target non-experts (students and parents), because confident wording can create unjustified trust. Students also have an ethical responsibility when sharing the claim (“we know it works”) to avoid turning marketing language into common knowledge without checking the evidence. |
Knowledge question
What standards of evidence should justify a claim advertised as “proven” to students?
Identify the sample size, how “20%” was calculated, and what “improve” means
Ask whether there is a fair comparison group (students not using the app, or using a different method) so the result is not just “users improved”
Check whether the claim has been independently replicated, rather than relying on evidence produced by the company selling the product
Test alternative explanations the study would need to rule out, e.g. motivation, extra study time, tutoring, regression to the mean
Worked Example
Charity football match penalty
After a last-minute penalty in a school charity football match, a student posts in the year group chat: “We know it was a dive — the striker went down before any contact.” Overnight, the message gets lots of agreement, and the student retells the moment several times, becoming more confident and adding extra “details” with each retelling. The next day, the full match recording is uploaded to the charity page, and the wider-angle footage shows the defender’s knee clips the striker’s shin just before the fall.
Scope | The knowledge claim “we know it was a dive” is based on eyewitness memory, so it only covers what the knower noticed at the time. Memory narrows scope because recall is reconstructive: confidence and detail can increase through retelling even if accuracy does not, so the known version may drift from what really happened. The recording widens the scope by adding missing context (the moment of contact), but it still limits what can be known if key details remain unclear, e.g. whether the contact was hard enough to cause the fall. |
Perspectives | A student who supports the defending team may be more ready to interpret the fall as a dive. A student who admires the striker may be more ready to interpret the same fall as genuine contact. A referee or coach may interpret the incident through typical body mechanics, focusing on what contact is sufficient for a foul rather than on how dramatic the fall looked. |
Methods & tools | The initial claim relies on an informal method: immediate judgment + social reinforcement (“likes” and agreement) rather than systematic checking of evidence. In the class chat, the claim spreads as rapid testimony, and repeated forwards/agreements act as confirmation, increasing confidence before any systematic checking (e.g. viewing the full footage) has taken place. The match recording is a more reliable tool for checking timing and contact, but a good method will still involve replaying, slowing down, using differing viewing angles, and separating observation (“contact occurred”) from interpretation (“therefore it was/was not a dive”). |
Ethics | Posting “we know it was a dive” can damage the striker’s reputation and encourage others to repeat the claim as fact, even when evidence is incomplete. There is an ethical responsibility to qualify uncertainty when evidence is limited (e.g. “it looked like…”), especially in public or group settings where statements spread fast. Ethical knowing also involves correcting the record when better evidence appears (e.g. acknowledging the contact shown on the full recording) rather than protecting status or group loyalty by sticking with the original claim. |
Knowledge questions
When is eyewitness memory strong enough to justify saying “we know what happened”?
Distinguish confidence from justification by determining what the knower could have actually observed (line of sight, attention, distance) versus what they perhaps later inferred
Notice how retelling and group agreement can increase certainty without adding new evidence, and ask how that affects reliability
Identify what independent support would be needed (full footage, multiple angles, consistent accounts) before treating the claim as knowledge
How should new evidence (like the full recording) change what we treat as knowledge?
Separate what the video establishes directly (timing and presence of contact) from what remains interpretive (whether the fall was exaggerated)
Use the new evidence to revise the knowledge claim transparently, e.g. “contact occurred, so ‘no contact’ was false”, while stating any remaining uncertainty
Ask what standards you would apply consistently: if video overturns memory here, when else should it override confident testimony?
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