Paper 1 Section B features two questions worth 6 marks each. With approximately 15 minutes per question, efficiency is critical. The questions prompt you to apply your understanding of Content (that means topics/concepts from the Biological, Cognitive, or Sociocultural approaches) to an unseen scenario provided in the exam question. The scenario is based on one of the four Contexts, but this is not very important to achieving success in these two questions.
These questions’ command terms come only from the AO2 set (such as Explain or Analyse). This means you do not need to provide evidence of critical thinking or evaluation. References to research studies are not required and should not be included.
How to achieve the top marks?
To score in the top markband (5–6 marks), your answer must meet two assessment descriptors:
Knowledge and understanding are accurate and detailed.
The application of relevant knowledge is well developed.
Our recommended three-step structure
Define: Start by defining the psychological terms – use precise language. (This is where you demonstrate your knowledge.)
Deconstruct: Unpack the unseen scenario by matching its details directly to the content you just defined. (This is where you demonstrate your understanding.)
Integrate: Directly answer the question, by weaving the content into the scenario/context – referring to the text of the question. (This is where you apply your relevant knowledge.)
Check: Is what you’ve written accurate, precise and answering the question?
And if you want more help with exam questions and model (high scoring) answers, get yourself a copy of this book…
When we teach Psychology, we spend hours helping students evaluate methodology, but we probably don’t inspect the consider the most basic and simple assumption: that the psychological phenomena we study (such as fera or anxiety) can actually be measured.
Measurement is a delicate act of translation. We take squishy, subjective, or invisible/intangible behaviours and we try to translate them into reliable numbers which we can caluclate means with and make graphs from because these give our science some credibiltiy and objectivity. But how much gets lost in translation?
Take physiological metrics. We routinely measure salivary cortisol levels to quantify stress. But cortisol is just a biochemical proxy for stress. It’s not the subjective experience of stress itself. We measure a biological trace and make a massive inferential leap about human suffering. Or consider basic behavioral tasks like the Stroop effect. When a researcher uses a handheld stopwatch to log reaction times, how accurate is that data? Recording a time down to hundredths of a second implies a level of precision that human reaction times on the stopwatch itself completely invalidate.
This illusion of mathematical precision follows us into data analysis. When students calculate the mean and standard deviation of Likert scales or reaction times, we rarely ask them to consider what those trailing decimal points mean. Do accumulating decimals offer genuine insight into human behavior, or do they artificially distort the mean and create a false sense of scientific rigor?
Even high-tech neuroimaging has its leaps of faith. Modern scanning machines like fMRIs calculate changes in hippocampal volume or cerebral blood flow, but the transformation from raw voxels to a 3D structural measurement relies on complex algorithms and statistical modeling that few non-specialists truly understand. We are measuring physical surrogates to infer cognitive processes.
And that’s before we attempt to quantify the truly abstract: How do you measure ethics? How do you put a numerical value on love, grief, pain, or a child’s transition through Piaget’s stages?
For us (the teachers), measurement’s not a dry topic tucked away in Research Methods; it’s the lens through which every topic in the syllabus should be viewed. Bringing these questions into the classroom lifts students from being passive watchers and listeners of psychology into critical thinkers who ask good questions like: Are we measuring what we think we are measuring, or just what is easy to count?
If you ask your students what ‘culture’ means, you will likely get responses relating to food, festivals, and flags. And languages. Those things are not wrong, but they barely scratch the surface of what we mean when we talk about culture as a determinant of behaviour. For IB Psychology purposes, culture is best understood as the shared set of values, beliefs, norms, and practices transmitted across generations within a social group that shapes how its members think, feel, and behave and through which individuals come to understand who they are, what is important, and how to behave. Culture is not decoration on top of a universal human psychology; it is, in significant ways, constitutive of psychology.
Culture is the shared set of values, beliefs, norms, and practices transmitted across generations within a social group that shapes how its members think, feel, and behave.
How culture shapes behaviour
The simplest way to understand culture’s effect on behaviour is through the individualism–collectivism dimension. Individualistic cultures, prevalent in Western Europe and North America, prioritise personal goals, autonomous self-expression, and individual achievement. Collectivistic cultures, prevalent across East and South Asia, the Pacific, sub-Saharan Africa, and Latin America, prioritise group harmony, obligations and responsibilities, and collective identity. These are not merely different surface preferences; they generate objectively different cognitive styles, emotional profiles, and behavioural patterns.
Consider self-enhancement, which is the tendency to evaluate oneself positively. It is one of the most robust findings in Western social psychology, so robust that some researchers once proposed it was a universal human motivator, but cross-cultural research refuted this claim: East Asian participants show significantly less self-enhancement than Western participants, and in many cases show self-criticism that Western frameworks would classify as negative behaviour, but which, in collectivistic cultural contexts, reflects the socially adaptive motive to improve the self for the benefit of the group. The same behaviour has opposite meaning in different cultures. This is why culture matters for psychology: it does not merely add content to universal processes; it shapes the processes themselves.
Culture also shapes how children learn as demonstrated by a study from rural Samoa:
Odden and Rochat (1999): Learning by watching
In 1999, Heather Odden and Philippe Rochat conducted a longitudinal, overt observational study in a rural Samoan village that provides a vivid illustration of how cultural context shapes learning through observation. The researchers were interested in how Samoan children acquire the complex knowledge and skills of their community such as weaving, fishing, food preparation, and ceremonial practices, given that explicit teaching, in the Western sense, is relatively rare in traditional Samoan village life.
The study found that Samoan children learned predominantly through keen, sustained observation of adult community members going about their everyday activities. Children would watch quietly and attentively from the periphery, sometimes for extended periods, before attempting to replicate observed behaviours. Crucially, this was not passive watching; it was purposeful, concentrated, and socially sanctioned. The cultural norm in the village supported what Odden and Rochat termed ‘intent community participation’. The children were included in community life as legitimate, observing participants, before they were capable of full participation.
This contrasts with the Western educational norm: learning is usually structured as explicit verbal transmission from teacher to student in a dedicated instructional setting, and where watching without doing is often treated as insufficient engagement. In the Samoan village, the community itself was the classroom, adult practice was the curriculum, and attentive observation was the primary pedagogy.
Odden and Rochat (1999) supports Bandura’s Social Learning Theory, specifically its core claim that observational learning is a primary mechanism of human behavioural acquisition. But it extends Bandura’s laboratory findings into a rich naturalistic cultural context, showing that the conditions under which observational learning is most effective are themselves culturally structured. The Samoan children were not simply watching by accident; they were participating in a culturally organised system of knowledge transmission in which observation was valued, modelled by older children, and embedded in genuine community practice.
The classroom implication
For DP Psychology teachers, Odden and Rochat (1999) is useful on several levels. It provides a real-world illustration of observational learning outside the laboratory. It demonstrates that what counts as ‘learning’ and what constitutes a good ‘learner’, is culturally defined. And it challenges students to examine the cultural assumptions embedded in their own educational experience: the emphasis on verbal explanation, individual assessment, and explicit instruction that characterises Western schooling is not a universal delivery mechanism for human learning; it is one culturally specific solution to the universal challenge of transmitting knowledge across generations.
NOTE: Research studies are still relevant for teaching IBDP Psychology, but they are NOT required to be used in any exam questions/exam responses.
Mindfulness has become one of the most popular psychological interventions, promoted as a way to reduce stress, improve attention, increase resilience, regulate emotions, and even boost academic performance. Many schools incorporate mindfulness into pastoral programmes, tutor time, CAS activities, or classroom routines, often assuming that it is an established way to improve student wellbeing.
As psychology teachers, however, we should pause before making such claims, not because mindfulness is ineffective. Rather, it is because the scientific evidence is less conclusive than many popular accounts suggest. Mindfulness offers an excellent case study in why psychologists must think critically about research evidence. The debate surrounding mindfulness touches on many of the very concepts we teach in the IB Diploma Psychology course: construct validity, operational definitions, control groups, placebo effects, publication bias, and replication.
Ironically, mindfulness may be one of the best examples of why psychology requires scepticism, even when an intervention becomes enormously popular.
The first problem: What exactly is mindfulness?
Before researchers can determine whether an intervention works, they must first agree on what the intervention is and this is perhaps the biggest challenge facing mindfulness research.
The word mindfulness has been used to describe Buddhist meditation practices, brief breathing exercises, guided body scans, attention-training techniques, acceptance-based therapies, and simply paying close attention to the present moment. Different researchers use different definitions, different interventions, and different outcome measures.
Van Dam et al. (2018) argues that there is no universally accepted definition of mindfulness and that researchers frequently operationalise it differently. Consequently, studies labelled as investigating mindfulness are often examining different interventions. This makes comparisons between studies and conclusions drawn from systematic reviews problematic.
Imagine if researchers studying ‘exercise’ grouped together walking, weightlifting, yoga, marathon running, and physiotherapy as one variable. We would correctly question conclusions about whether ‘exercise’ has an effect on a particular behaviour. The same research problem exists in mindfulness research.
From an IB Psychology perspective, this is a clear issue of construct validity. If researchers cannot clearly define the construct they are investigating, it becomes difficult to know exactly what their studies are measuring and therefore there is doubt about conclusions.
The evidence is more modest than many people believe
Mindfulness is often presented as a universal treatment for stress, anxiety, attention, emotional wellbeing, and academic success, but the research evidence indicates a more modest conclusion.
One of the largest and most influential reviews was conducted by Goyal et al. (2014), who considered 47 randomised controlled trials involving more than 3,500 participants. The study found only moderate evidence that mindfulness programmes reduced symptoms of anxiety, depression, and chronic pain when compared with control groups.
The study found little or no evidence that mindfulness substantially improved stress, positive mood, attention, substance use, sleep, or weight-related outcomes. Nor was there convincing evidence that mindfulness consistently outperformed established active treatments.
In other words, mindfulness appears to have benefits in some contexts, within clinical populations, but many of the broader claims commonly made in schools are not supported by empirical evidence.
Creswell (2017) concluded that mindfulness-based interventions show genuine promise for some psychological and physical health outcomes, but the study noted significant methodological limitations across the literature, including small sample sizes, inconsistent intervention protocols, weak control conditions, and uncertainty about the mechanisms responsible for any apparent benefits.
Are students benefiting from mindfulness, or are they simply enjoying a quiet break from the noise of modern schooling?
The most important methodological question is surprisingly simple: if students feel calmer after ten minutes of mindfulness, what caused the improvement?
Many mindfulness activities involve sitting quietly, breathing slowly, reducing distractions, and temporarily stepping away from the demands of school. Any of these factors could improve mood or reduce stress.
This creates a fundamental challenge for researchers: identifying the active variable.
Without carefully designed control groups, it is impossible to determine whether improvements are caused by mindfulness activities, by relaxation, by expectancy effects, or simply by giving participants permission to ‘press pause’ for a few minutes.
Van Dam et al. (2018) identified this as one of the major limitations of studying mindfulness. Many studies have failed to separate the separate mindfulness from rest, relaxation, or positive expectations.
For schools, this distinction is important.
If ten minutes of uninterrupted quiet time produces similar outcomes to ten minutes of mindfulness activities or instruction, maybe what students need is simply more opportunities to ‘press pause’ during busy school days. And perhaps that suggests that the busy-ness of the modern school is a core cause of mental health issues among school students.
Mindfulness is an AO3 goldmine
Whether schools choose to include mindfulness in their curriculum is ultimately a management decision, but as psychology teachers, mindfulness provides something even more valuable: an outstanding opportunity to teach critical thinking.
Almost every major AO3 evaluation skill appears within the mindfulness literature.
Construct validity: What exactly is meant by ‘mindfulness’?
Operationalisation: Are different studies investigating the same intervention?
Control groups: Does mindfulness outperform active comparison conditions such as quiet rest or relaxation?
Expectancy effects: Do participants improve because they expect mindfulness to work? Is there a placebo effect in play?
Publication bias: Are positive research findings more likely to be published than null findings?
Generalisability: Can findings from adult participants be applied to adolescents in schools?
Rather than presenting mindfulness as either ‘good’ or ‘bad’, teachers can use it to demonstrate how psychologists evaluate evidence, identify methodological limitations, and avoid drawing conclusions that reach far beyond the results.
A word of caution for schools
None of this means schools should ban mindfulness activities.
Many students enjoy them and some find them relaxing or helpful. The available evidence suggests that mindfulness-based programmes may reduce anxiety and depression in some contexts, particularly when delivered as structured clinical interventions.
However, schools should be careful not to overstate what the science has determined. Claims that mindfulness improves concentration, resilience, emotional intelligence, wellbeing, academic achievement, or mental health across all students go far beyond the available evidence.
Davidson and Kaszniak (2015) argues that future progress depends on clearer definitions, stronger research designs, better control groups, and more rigorous methods. Van Dam et al. (2018) cautions that enthusiasm for mindfulness has often outpaced the quality of the evidence supporting it.
As psychology teachers, we should hold mindfulness to the same evidential standards that we apply to every other psychological claim. After all, our goal is not to persuade students that mindfulness works or that it does not; our goal is to teach them how psychologists evaluate research and theories.
Mindfulness therefore provides an excellent lesson, not because it offers simple answers, but because it raises the kinds of questions that good psychologists should be asking.
Possible extended essay questions
For students interested in research methods, wellbeing, or contemporary psychology, mindfulness provides fertile ground for a Psychology Extended Essay. For example:
To what extent does the lack of a universally accepted definition of mindfulness limit the validity of research into mindfulness-based interventions?
To what extent do methodological limitations explain inconsistent findings in mindfulness research?
How convincing is the evidence that mindfulness interventions improve psychological wellbeing beyond the effects of quiet rest or relaxation?
To what extent has the popularity of mindfulness outpaced the scientific evidence supporting its effectiveness?
Each of these questions encourages students to evaluate methodology rather than simply asking whether mindfulness ‘works’; an approach that reflects the critical thinking at the heart of psychological science.
References
Creswell, J. D. (2017). Mindfulness Interventions. Annual Review of Psychology, 68, 491–516.
Davidson, R. J., & Kaszniak, A. W. (2015). Conceptual and methodological issues in research on mindfulness and meditation. American Psychologist, 70(7), 581–592.
Goyal, M., et al. (2014). Meditation programs for psychological stress and well-being: A systematic review and meta-analysis. JAMA Internal Medicine, 174(3), 357–368.
Van Dam, N. T., et al. (2018). Mind the hype: A critical evaluation and prescriptive agenda for research on mindfulness and meditation. Perspectives on Psychological Science, 13(1), 36–61.
Writing in DP Psychology is about choosing the correct acadmeic style: (1) descriptive, (2) analytical, or (3) critically analytical. This applies to Psychology exam answers and to the extended essay.
Most people assume there’s a universal way humans experience identity, i.e. their sense of self. Research has shown that culture fundamentally shapes how people construct their sense of self, i.e. their identity; and this plays a role in our behaviour including our emotions and motivations.
In 1991, Hazel Markus and Shinobu Kitayama published ‘Culture and the Self: Implications for Cognition, Emotion, and Motivation’, a paper that challenged the prevailing understanding of culture’s role in behaviour. The paper proposed that culture fosters one of two ways of experiencing identity and called these independent and interdependent self-construal.
The theory proposes that in cultures emphasising independent self-construal, i.e. ‘Western’ societies such as the US, people consider themselves as autonomous individuals so that the sense of self is defined by internal attributes such personality traits, abilities, and personal achievements. Success means to stand out, to be unique, and to pursue and achieve individual goals. ‘Being true to yourself’ is a core value in these cultures.
In cultures that emphasise interdependent self-construal, common in ‘the East’, many collectivist societies consider the self as one of many, i.e. connected to others rather than independent and autonomous. A person considers their identity through social relationships, roles, and group memberships. Succeeding in this culture means maintaining harmony, fulfilling obligations, and fitting harmoniously into social contexts. The question is not ‘who am I?’, rather it is ‘who are we, who am I in relation to others?’
Self-Construal Theory is compelling because of empirical evidence supporting it. For example, in 1989, psychologist Susan Cousins used the Twenty Statements Test, asking American and Japanese participants to complete sentences beginning with ‘I am…’ Americans predominantly used abstract personal traits, such as ‘I am creative’, ‘I am independent’, but Japanese participants offered context-dependent descriptions tied to relationships and situations, such as ‘I am a daughter who helps her mother’.
Self-Construal Theory’s predictions extend beyond self-description to behaviour. Heine et al. (1999) demonstrated striking motivational differences. After receiving failure feedback on a task, Canadian students persisted less on subsequent attempts, protecting their self-esteem, but Japanese students persisted, motivated by opportunities for self-improvement rather than self-protection.
Self-construal can shape everyday behaviours. For example, in consumer behaviour, Americans are more likely to purchase products that emphasise uniqueness and self-expression: ‘Be yourself’ or ‘Stand out from the crowd’ and East Asian advertising emphasises belonging and harmony such as ‘Share happiness with those you love’. Westerners typically prefer items that differ from what others have chosen, demonstrating uniqueness. East Asians tend to prefer popular choices that others have validated, reducing social disharmony.
Communication patterns often reflect different self-construals. Americans tend toward direct, explicit communication; saying ‘no’ is valued as honest and authentic, but in Japanese communication indirect expressions and contextual cues are used to avoid upsetting group harmony, saying ‘that might be difficult’ rather than ‘no’. These aren’t politeness conventions; they reflect different perceptions of appropriate self-expression.
Even emotional expression follows self-construal patterns. Tsai et al. (2006) found that European Americans valued high-arousal positive emotions like excitement and enthusiasm, which signal individual achievement and expression, but Hong Kong Chinese valued low-arousal positive emotions like calm and peacefulness, which facilitate harmonious social functioning. Facebook profile pictures reflect this: Americans smile more broadly with teeth showing (expressing individual happiness). East Asians smile more subtly with closed mouths (maintaining social appropriateness).
American students typically feel comfortable speaking up in class, asking questions, and debating with teachers. These behaviours demonstrate critical thinking and individual voice. East Asian students typically remain quiet, not from lack of engagement but from respect for the teacher’s authority, believing that speaking out might disrupt the collective learning environment or risk making others feel uncomfortable.
Kitayama’s own research showed that Americans consistently rate themselves above average on various attributes (sometimes referred to as the self-enhancement bias; Japanese participants showed self-criticism, honestly acknowledging weaknesses as areas for personal growth. These aren’t just cultural politeness norms. They reflect different motivational systems shaped by self-construal.
Perhaps most fascinating, self-construal seems to affect people’s perception and attention. Masuda and Nisbett (2001) showed participants animated underwater scenes. American participants fixated on prominent focal objects like large fish, but Japanese participants focused more on more global/background elements and the relationships between the objects in the scene. This didn’t seem to be about visual acuity; it indicated culturally-shaped patterns of attention and focus.
Even memory seems to be culturally constructed. Wang (2001) found that Chinese children’s autobiographical memories emphasised collective activities and social interactions and American children’s memories focused on individual experiences and individual attributes indicating that we remember our lives through cultural filters.
Many parenting practices show self-construal in action. American parents often ask children ‘What do YOU want?’ and ‘How do YOU feel?’ emphasising individual preferences and internal states. East Asian parents more commonly ask ‘What should we do?’ or reference social obligations, for example ‘What would grandmother think?’ These small linguistic differences shape how children learn to think about themselves in relation to others.
Workplace behaviour can demonstrate self-construal differences. In Western organisations, employees are encouraged to promote their achievements, with annual reviews asking, ‘What are YOUR accomplishments?’ and ‘What makes YOU stand out?’ In Eastern companies, employees often deflect individual credit, attributing success to team effort or organisational support. When Americans receive praise, they typically accept it directly, for example. ‘Thank you, I worked hard on that’. Asian recipients more commonly deflect or minimise: ‘No, it was nothing special’ or ‘I was fortunate to have good colleagues’.
Zhu et al (2007) used brain imaging to show that Chinese participants demonstrated similar neural activation patterns when thinking about themselves and their mothers, but Western participants distinguished clearly between thinking about themselves and thinking about their mothers, showing different neural activation for each. Culture doesn’t seem to just affect our self-perception and memory; it also seems to shape the neural architecture underlying self-representation.
Self-Construal Theory helps explain why shame is more significant in some cultures and guilt is significant in other cultures, and why self-help movements flourish more in individualist than collectivist societies, and why collaborative decision-making processes are more effective in some cultures and less effective in other cultures.
Critics of Self-Construal Theory argue that it creates a false dichotomy, overlooking within-culture variations and individual differences. For example, not all Westerners are independent and not all Asians are interdependent. Modern research suggests that many people develop bicultural competence, meaning they can shift between self-construals depending on the cultural context.
Markus and Kitayama’s Self-Construal Theory remains important for understanding the role of culture in behaviour by demonstrating that culture is not merely superficial customs and traditions. It can shape behaviour from perception and memory to emotion and motivation. People’s sense of self is not universal; it is profoundly cultural and understanding this helps us appreciate human diversity while recognising the mechanisms underlying cultural differences.
Self-Determination Theory (SDT) is a simple solution to the questions of how we help students understand motivation across all four Contexts.
What is motivation? That hidden drive to behave.
Deci and Ryan’s SDT: Motivation stems from three needs: (i) autonomy (feeling in control), (ii) competence (feeling capable), and (iii) relatedness (feeling connected). When these needs are met, intrinsic motivation flourishes. When they’re not met, motivation is hindered. It’s a simple but powerful framework that can be applied to all 4 Contexts:
Human Development
Consider adolescent identity formation. Teenagers need autonomy to explore who they are, competence through experiences that build self-efficacy, and relatedness through secure attachments that provide a safe base for exploration. Identity achievement requires all three needs being met, while identity foreclosure might reflect relatedness without autonomy. Most students can grasp why overcontrolling parenting or peer rejection derails healthy development.
Teenagers need autonomy, competence and relatedness to develop an identity.
Human Relationships
Relationship satisfaction directly correlates with SDT’s three needs. Partners who support each other’s autonomy (rather than being controlling), acknowledge each other’s competence (rather than being critical), and maintain emotional connection report higher relationship quality. This explains why co-dependency fails; it sacrifices autonomy for relatedness. Students can analyse their own friendships/relationships through this lens, making the theory personally relevant.
Learning and Cognition
This is SDT’s home territory. Intrinsic motivation predicts deeper learning, better retention, and greater creativity than extrinsic motivation. When students experience autonomy (choice in assignments), competence (appropriately challenging tasks with constructive feedback), and relatedness (collaborative learning, supportive classroom climate), academic motivation soars. It also explains why rewards sometimes backfire: because they degrade autonomy. It also explains why mastery-oriented feedback works better than performance-oriented feedback: because it builds competence without degrading autonomy.
Self-determination theory: It’s ALL about autonomy, competence and relatedness.
Health and Wellbeing
Why do people stick with exercise programmes? SDT provides answers. Autonomous motivation (‘I exercise because I value health’) predicts adherence better than controlled motivation (‘I exercise because my doctor said so’). Competence comes from progressive improvement and achievable goals. Relatedness emerges from workout partners or group classes. Students can apply this to understanding treatment compliance, addiction recovery, or their own wellness behaviours.
Motivation is what keeps us going.
Smart teaching: Self-Determination Theory
Here’s the beauty: teach SDT once, thoroughly, then reference it across contexts throughout the year. Students build a cognitive schema that helps them predict and explain motivational phenomena wherever they encounter them. When the HL exam question asks about motivation in any context, they have a robust theoretical framework ready to write about.
When the IB Psychology guide lists “the role of technology in behaviour” as a Higher Level topic, many teachers immediately think smartphones and social media. And yes, Instagram’s impact on attention spans is relevant. But this topic offers so much more depth and variety than we might initially assume.
Coupling AI to brain scanning techniques to predict behaviour… but is AI sufficiently accurate to replace human expertise and experience?
Start with the basics: brain scanning technology itself. fMRI and PET scans aren’t just research tools—they’re technologies that have fundamentally changed how we understand behaviour. Now add AI software interpreting those scans, potentially diagnosing conditions before human experts spot the patterns. Suddenly we’re discussing how technology doesn’t just study behaviour; it actively shapes our understanding of what behaviour even is.
Then there’s the everyday technology students actually use. Does relying on smartphones for navigation atrophy our spatial memory? When we outsource our recall to Google, are we fundamentally changing how memory consolidation works? Language learning apps like Duolingo use gamification and spaced repetition algorithms—technologies that directly target learning behaviour. Meanwhile, YouTube’s recommendation algorithm creates confirmation bias echo chambers, reinforcing existing beliefs and shaping political behaviour worldwide.
Is social media changing the way people behave in relationships?
But let’s go broader. Does television count as technology? Absolutely—and its effects on attention, aggression, and prosocial behaviour are well-researched. eBooks versus physical books might seem trivial until you examine reading comprehension and retention studies. Online courses use adaptive learning technologies that personalize content delivery in ways a human teacher never could.
Here’s the historical perspective students need: When Gutenberg invented the printing press, scholars worried it would destroy memory and critical thinking because ‘why remember anything if it’s written down?’ When Edison’s light bulb extended waking hours, social critics feared it would disrupt natural human rhythms and family cohesion. Sound familiar?
A note to teachers: You don’t need to cover every technological innovation from the abacus to ChatGPT. The goal is helping students think critically about how any technology might influence behaviour—through cognitive load, social interaction patterns, information access, or behavioural conditioning. Give them a framework for analysis and a few solid examples. When exam day comes, they’ll be equipped to write intelligently about whatever technological scenario appears in the question, whether it’s covered in your lessons or not.
The Class Practicals are students’ opportunity to engage directly with research methods while developing ethical awareness. The Practicals can also be scaffolding activities for the Internal Assessment. Whatever you do, you MUST link the Class Practical experience with Paper 2 Section A’s 4 questions.
The primary purpose of Class Practicals is for students to be directly involved in planning, preparing and conducting research studies, in particular an experiment, an interview, a survey, and an observation. The Subject Guide describes in detail what variations of these studies can be conducted, for example a true experiment and a quasi-experiment are OK, a natural and a field experiment are not OK. The Subject Guide also details the ethical requirements to be considered.
Students should complete 4 Practicals and their experience should inform their answers to Paper 2, Section A’s 4 questions, but this doesn’t mean the students must each plan, prepare and conduct 4 studies. Students must be involved to some extent. They may be involved in a study that’s ultimately an in-class demonstration. Perhaps the students are involved in planning and preparations, or maybe they’re members of an ethics committee or perhaps they’re involved as participants or assistant researchers or data collectors. And perhaps they change roles over the 4 different Practicals.
The December 2025 curriculum update, any research method can now be applied to any context. In my opinion though, thinking through the logistics and ethical considerations of each method, the original suggestions are probably best: an experiment in the Learning and Cognition context, a questionnaire in the Human Relationships context, an observation in the Human Development context and an interview in the Health and wellbeing context.
Practicals can be teacher-led or student-led, conducted in-school or out-of-school. Under the Keep It Simple ‘rule’, I strongly recommend strong teacher guidance and in school (in class). The key requirement is meaningful student participation. Students who are participants in a practical gain invaluable perspective to research. ‘How did you feel during the debriefing that your were lied to during the study? The researchers called it reasonable deception – is that how you feel about it?’
The Class Practicals are good preparation for the Internal Assessment, which requires students to write a research proposal rather than conduct actual research. It’s very difficult to propose an experiment, for example, if you’ve never conducted one. After experiencing a Class Practical experiment firsthand, describing a quasi-experiment’s aim, the participant recruitment process, managing variables, addressing ethical concerns… become more achievable. Through the Class Practicals, students will develop better understanding of research design. If they were involved as participants in the Class Practical, students will be better prepared to write about ethical considerations.
Whatever practical you conduct, ensure explicit connections to Paper 2 Section A’s four questions. The Practicals aren’t isolated exercises; they’re preparation for exam questions. The experience should strengthen students’ understanding of ethical considerations, research design, methodological strengths and limitations, and data interpretation.
An often-neglected aspect of teaching IBDP Psychology helping students develop fluency with subject-specific terminology. Words like validity, reliability, etiology, synaptic gap, neurotransmitter, and operant conditioning aren’t just vocabulary, they’re the precise tools we use to communicate complex ideas about behavior.
The assessment criteria make this explicit: ‘There is accurate and precise use of psychological terminology’ and ‘Psychological terminology relevant to the research methods is used effectively’. These aren’t minor criteria, they directly affect student grades in all assessment components. When students write about ‘proof’ instead of evidence, or ‘sadness’ instead of depression, they’re not just being imprecise; they’re failing to demonstrate the precise and accurate vocabulary that examiners expect.
Teaching terminology effectively means more than providing definitions. Students must understand when and how to use these terms. Does this theory apply to all cultures or is it ‘culture-bound’? Is this a hormone or a neurotransmitter? Understanding these distinctions demonstrates genuine psychological literacy, not just memorization.
The payoff extends beyond exam scores. Students who master the subject’s vocabulary think more precisely about behavior, communicate more effectively in their internal assessment and extended essays, and develop the academic foundation necessary for university level psychology study.
IB Diploma Psychology – The Glossary of Psychology Vocabulary (by Tom Coster) is an essential companion for every IB Diploma Psychology student, providing a clear and concise collection of key terms and concepts tailored to the IB Psychology syllabus.
Designed to support your journey into the field, this glossary will enhance your understanding of human thought, emotion, and behavior, while helping you master the specialized vocabulary required for academic success and real-world application.
