For the 2027 Singapore–Cambridge Secondary Education Certificate (SEC), G2 Geography K226 Paper 1 Question 1 is a compulsory 25-mark geographical fieldwork question. It tests Topic 1.3 Geographical Methods. The question may use a fieldwork context from any Geography cluster, so students must know how to frame investigations, gather and interpret data, evaluate sampling and explain limitations—not merely memorise one school excursion.
Paper 1 contains two compulsory structured questions and lasts 1 hour 45 minutes, with 50 marks and 50% of the final Geography grade. Question 1 is Geographical Methods (25 marks); Question 2 is Tourism (25 marks) and includes a six-mark decision-making task. This article concentrates on the distinctive fieldwork question, with practical exercises students can adapt to unfamiliar neighbourhoods, visitor settings and environmental issues.
- K226: standalone G2 Geography; it is not combined Humanities Social Studies–Geography K229.
- Paper 1 Q1: 25 compulsory marks on geographical fieldwork, Topic 1.3.
- Extended fieldwork: the syllabus includes a ten-week educational fieldwork experience; the national examination assesses methods in a structured question, not a separate field practical paper.
- Skills: question framing, observations and surveys, sampling, maps, charts, data analysis, reliability and safety.
- Paper 1 Q2: Tourism is also compulsory, so students must prepare both halves.
- Sources: SEAB 2027 Geography K226 syllabus and SEAB G2 subjects.
This guide uses fictional classroom examples rather than real survey results. They demonstrate sound methods but are not official examination questions or instructions to conduct unsupervised fieldwork. Actual school fieldwork must follow teachers’ safety, privacy and supervision arrangements.
Find the fieldwork question you need
- Exact K226 paper structure
- Framing a geographical investigation
- Primary versus secondary evidence
- Observation, questionnaires, counts and mental maps
- Convenience, quota, random and stratified sampling
- Mapping and graph selection
- Describing a pattern versus explaining it
- Reliability, validity, bias and limitations
- Fieldwork ethics and personal safety
- Ten original fieldwork practice exercises
- A four-week preparation cycle and FAQs
Paper 1 Question 1: 25 marks and no optional escape
| K226 component | 2027 published rule | What it means |
|---|---|---|
| Paper 1 Question 1 | 25 marks, compulsory; Topic 1.3 Geographical Methods | Fieldwork concepts and evidence-handling skills must be ready |
| Paper 1 Question 2 | 25 marks, compulsory; Tourism | A six-mark AO3 decision and judgement task occurs here |
| Paper 1 total | 50 marks, 1 hour 45 minutes; 50% | Both questions must be completed |
| Paper 2 | Everyday Geography and Climate; 50 marks, 1 hour 45 minutes; 50% | Climate and sustainable development remain separate revision responsibilities |
SEAB specifies that each structured question has no more than twelve subparts. Question 1 is on fieldwork and may use a context that belongs to any of the syllabus’s clusters, or a different appropriate setting. For example, the scenario might involve a tourist destination, a neighbourhood walkway or a climatic observation, but the question may be assessing the method of inquiry.
This is why a student can learn tourism thoroughly and still lose fieldwork marks: content familiarity is not the same as knowing whether a sample is representative, how a graph should be labelled, or why an investigation failed to answer its own question. The method transfers across settings.
Do students sit an actual national practical fieldwork paper?
No separate national fieldwork practical paper is listed in K226’s assessment scheme. The syllabus includes an extended ten-week fieldwork learning experience during teaching, while the national examination tests Geographical Methods through the compulsory Paper 1 structured Question 1.
Schools may organise actual investigations in their curriculum to build those skills. Pupils should follow school supervision arrangements. At home, it is safe and useful to practise interpreting fictional survey datasets and evaluating hypothetical methods without collecting personal information from strangers.
Start an investigation with a question that can be answered
From vague curiosity to a workable geographical inquiry
A broad statement such as ‘Is our town good?’ cannot be investigated without specifying what ‘good’ means. A more workable question is ‘How does pedestrian volume differ between two marked walkway locations during comparable observation periods?’ This names the phenomenon, places and measurable condition.
A geographical inquiry usually needs a focus, a location and data that could plausibly answer it. The investigator should know what they intend to compare before taking measurements. Otherwise, the class may collect an attractive collection of photographs and numbers that cannot support a coherent conclusion.
Define the terms before measuring
If the question asks about ‘accessibility’, does it mean straight-line distance, walking time, cost, safe crossings or access for people with mobility needs? Different definitions produce different answers. The concept must be operationalised: specify the indicator that will stand for the idea.
For a fictional school project, accessibility of a community facility might be measured through walking times from selected locations, the presence of safe crossings or the number of public-transport connections. One indicator may capture only part of the concept, which should be acknowledged in evaluation.
Scale changes the answer
An investigation of one corridor at 8 a.m. can describe that corridor at that time. It cannot automatically support a conclusion about the whole of Singapore. In Geography, ‘scale’ concerns the spatial scope of analysis as well as map scale. A finding at the neighbourhood scale is not necessarily valid at a regional scale.
A learner should state where and when evidence was obtained, then limit the claim appropriately. Being precise about scope makes the conclusion stronger because readers know what the research actually established.
Frame a neutral question rather than force the outcome
A poorly framed question might be ‘Why is the new park badly designed?’ before any evidence has been collected. That assumes the conclusion. A neutral question such as ‘How do different users evaluate access to the park’s main entrances?’ allows positive and negative evidence to be considered.
A sound question avoids leading participants toward the desired answer. Geography is not a performance of proving the student’s first opinion; it is a method of investigating what the available evidence suggests.
Primary and secondary data: know what the evidence represents
Primary data are collected for the present investigation
Primary data may include pedestrian counts, surveys, observations, field sketches, photographs collected under appropriate rules, temperature readings and recorded journey times. Such data can match a specific question closely, but they are limited by when, where and how they are collected.
Suppose a class counts bicycles passing a junction between 7.30 and 7.45 a.m. The result is direct evidence of observed bicycles during that interval. It does not establish the number passing all day unless the observation is appropriately extended or supported.
Secondary data already exist
Secondary data include published population tables, climate records, maps, transport schedules or an existing dataset from a trustworthy provider. These may offer longer timescales or wider geographical coverage than a short school observation.
However, a published figure still needs scrutiny. What period does it cover? How was the variable defined? Are locations comparable? A dataset about weekly visitors cannot be compared directly with one counting daily entries without considering the time basis.
A source can be relevant and still insufficient
A published map showing locations of community facilities may help establish proximity. But it may not tell whether a walking route is safe or whether a building is accessible to wheelchair users. A student should explain the precise question the source answers and which new primary data might fill a remaining gap.
Choosing the most authoritative-looking source is not enough. A dataset must also be appropriate for the date, location, scale and concept that the inquiry studies.
Observation, counts, questionnaires and mental maps
Observation requires explicit categories
A field observation can note the presence of shade, accessibility features, seating, vegetation or traffic behaviour. Categories should be defined before the study so observers record the same thing. If one pupil counts all covered walkways as ‘shaded’ and another counts only trees, the observations are not directly comparable.
A useful fictional observation checklist might record number of sheltered seats, presence of steps, location of crossings and any temporary obstruction. The learner should also recognise that such a checklist cannot capture how users feel about the place without further evidence.
Counting people or vehicles requires a consistent window
Counts are quantitative evidence when each count follows the same rules. Comparing 10 minutes at Site A with 30 minutes at Site B will mislead unless converted to a comparable rate. If one station observes 48 pedestrians in 12 minutes and another 60 in 20 minutes, the rates are 4 and 3 pedestrians per minute respectively.
A raw total of 60 exceeds 48, but the rate is lower at the second site. This illustrates why units, duration and observation conditions must be checked before concluding which location is busier.
Questionnaires can ask about experience
A questionnaire may help understand why people visit a place, how they travel, what facilities they value or which barriers they encounter. Questions should be clear, respectful and non-leading. A question like ‘Do you agree that this excellent park should receive more funding?’ embeds a judgement in the wording.
A more neutral form might ask how respondents rate a specified feature using a clearly defined scale, followed by an optional explanation. Students need to consider whether the answer categories allow meaningful responses or push people toward one outcome.
Open and closed questions yield different data
Closed questions produce categories or fixed responses that can be counted and compared; open questions allow respondents to explain experiences in their own terms. Neither is automatically superior. A closed question may reveal that many people report poor lighting, while an open response could explain which part of a route feels difficult.
A good investigation may combine both. Students should explain why each question type fits a particular aim and how answers will be processed responsibly.
Interviews can provide detail but not automatic representativeness
A short interview can reveal rich individual perspectives. Yet interviewing two visitors who happen to be available does not establish what every resident thinks. When evaluating interviews, separate depth of explanation from breadth of coverage.
Students should respect the participant’s comfort, avoid collecting unnecessary identifying details and follow teacher-approved consent procedures. Genuine research depends on trustworthy collection as well as responsible treatment of people.
Mental maps show experienced geography
A mental map reflects what a person notices, remembers or considers important about a place. One pupil may draw a prominent sports facility; another may emphasise quiet routes and trees. These representations can reveal perceptions and sense of place but are not survey-accurate maps.
A student should distinguish mental-map evidence about experience from objective measurements of distance. An omitted landmark may be unimportant to that person, not necessarily absent from the neighbourhood.
Field sketches and photographs need careful interpretation
A sketch or photograph can communicate spatial relationships, visible features and the observer’s focus. But perspective, framing, timing and selection influence what is shown. A photograph from one direction may hide a path or obstruction outside the frame.
A field sketch can be annotated with relevant labels and directions. It should prioritise clarity of geographical features rather than artistic decoration. Students should avoid assuming that a beautiful sketch is strong evidence if its key features are inaccurate.
Sampling: four ways of deciding whom or what to study
| Method | Basic idea | Typical strength | Typical limitation |
|---|---|---|---|
| Convenience sampling | Select accessible available participants or locations | Practical and quick | May systematically exclude less accessible groups |
| Quota sampling | Recruit according to specified category targets | Can deliberately include important categories | Selection within categories may remain biased |
| Simple random sampling | Each eligible member has an equal chance under a genuine random process | Can reduce systematic selection bias | Needs a suitable sampling frame and careful execution |
| Stratified random sampling | Divide a population into meaningful strata, then sample randomly within them | Supports coverage of important subgroups | Requires correct population information and stratification |
Convenience sampling can create invisible exclusions
Imagine a class surveying bus users beside one stop at 8 a.m. The sample misses people who walk, cycle or use a different bus route, and may overrepresent commuters on that particular schedule. A high percentage supporting more buses could reflect that sample rather than the whole neighbourhood.
The error is not necessarily that the sample is small. Even a very large convenience sample can be biased if it repeatedly recruits from the same unrepresentative location. The first repair is to identify who is absent and why.
Quota sampling: define useful categories
A fictional researcher might seek 20 respondents in each of two age categories or different transport modes. The quota helps ensure those categories are represented in the final responses, but participants within each category may still be selected conveniently. A quota alone does not make the sample random.
If the population is 70% Group A and 30% Group B, an equal quota creates equal sample sizes, not the population proportion. That might be suitable for comparing groups but unsuitable for estimating an overall percentage without appropriate adjustment.
Simple random sampling requires a real random mechanism
Choosing names from a complete numbered list with a genuine random process can be a simple random sample. Calling every third passing person ‘random’ is inaccurate; that is a systematic pattern of selection, and the sampling frame may still be limited by who passes.
A random number generator can help only if the underlying list appropriately covers the population. Random selection does not repair a list that omits a whole group of residents or excludes people without a particular address type.
Stratified random sampling can preserve subgroup coverage
A population may contain meaningful categories, such as different residential zones. Stratified random sampling first defines the strata and then randomly samples within each. Students should explain why the divisions are relevant to the question and how they improve coverage.
If a neighbourhood has three zones with unequal population sizes, proportional stratification may select different numbers from each. A student needs to distinguish this from automatically choosing exactly ten participants from every zone regardless of actual population size.
A sampling question may ask for the better alternative
Suppose a fictional investigation wants to understand use of community facilities across three neighbourhoods, but surveyors recruit only people waiting at the first facility. Stratified sampling from all three neighbourhoods, using appropriate lists, may improve geographical representation. The answer should explain which missing group or location the revised method captures.
The examiner does not award insight merely for naming a sophisticated method. Explain how it addresses the investigation’s actual limitation and what trade-off, such as time or access to sampling information, remains.
Maps and charts: evidence that another reader can inspect
Maps need relevant information, not a colourful border
An appropriate field map should communicate its purpose through a title, locations, orientation, scale, legend and data source where relevant. A map without a north arrow may still be interpretable when another orientation convention is clear, but candidates should understand why directional reference matters.
A location map may answer where sampling stations were placed, while a thematic map may show how a measured attribute varies across those stations. The student should not mix a highly detailed street map with an unexplained symbol set that makes the intended geographical pattern difficult to see.
Scale is a relationship between map and ground
If a map has a stated scale of 1:10,000, one centimetre on the map corresponds to 10,000 centimetres, or 100 metres, on the ground. A 3.5 cm separation represents 350 metres under the appropriate straight-line measurement. This is not necessarily the walking-route distance.
A candidate should distinguish straight-line map distance from actual travel distance when obstacles, roads or accessible entrances matter. A good geographical interpretation respects the scale and the quantity measured.
Choose a bar chart for category comparisons
A bar chart can compare visitor counts across different locations or reasons for visiting. Each bar should be labelled, the count or unit stated, and the scale consistent. Missing category labels make it difficult to know what a taller bar represents.
If one location has 40 visitors and another 60 during comparable periods, the difference is 20 visitors. The second is 50% higher relative to the first, not 20% higher. If the question asks for a numerical comparison, calculate it from the values rather than describe the larger bar as ‘a little higher’.
Line graphs usually represent suitable ordered changes
A line chart can communicate change over time, such as visitor counts by hour or temperature through a day. Connecting unrelated categories with a continuous line may imply a relationship not supported by the data. The chosen representation should follow the nature of the variable.
A rising line indicates an increase in the plotted measure, but it does not by itself establish why it rose. A new school dismissal time, weather change or special event might be relevant, but only when the data or task context supports the explanation.
Pie charts represent parts of a whole
A pie chart can show proportions of visitor transport modes when the categories together account for the total. Percentages should sum to approximately 100%, allowing for rounding. Using a pie chart when categories overlap can misrepresent the data.
For a fictional set of 100 respondents, 45 travelled by bus, 30 walked, 15 cycled and 10 used another mode. A pie chart might be suitable. But if respondents were allowed to select multiple modes for one trip, the categories no longer form mutually exclusive parts of a single hundred.
Tables should expose definitions and units
A data table needs columns that show what was measured, where and when. ‘Visitors: 30’ is incomplete if the reader cannot tell whether this is per minute, per hour or per day. Include observation duration and consistent definitions.
If two groups counted at different times, standardising to a rate can sometimes help comparison, but only if the underlying behaviour is reasonably comparable. A thirty-minute count at lunchtime may still not represent activity at midnight.
Describe, explain and evaluate: do not merge them into one guess
A description is what the evidence actually shows
In a fictional dataset, Site A records 24 pedestrians, Site B 38 and Site C 18 over the same ten-minute period. A valid description is that B had the highest count and C the lowest, with a difference of 20 pedestrians. These are observations about the measured intervals.
It is not yet an explanation to claim Site B was busiest because its trees were beautiful. That may be a plausible hypothesis, but the count alone does not identify what caused the difference.
An explanation identifies a causal process
To explain a pattern, use the provided circumstances and appropriate geographical concepts. If Site B is located at a major transport entrance and the task supplies that fact, the connectivity may help explain higher pedestrian movement. The candidate should connect the feature to how people move.
A causal explanation should remain proportionate to its evidence. A busy morning does not establish that a location will remain busiest every day of the year.
Correlation is not automatic causation
If a survey finds that sites with more shade also attract more visitors, additional factors could include seats, shops, paths and transport. The observed association may justify further investigation but does not prove shade was the sole cause. A good answer can propose a way to compare otherwise similar sites.
This principle is valuable beyond Geography: people often see patterns in news charts or business graphs and infer causes too quickly. G2 fieldwork provides a structured way to test such explanations.
A conclusion should answer the investigation question
If the question is whether pedestrian activity varies by location during a selected period, the conclusion should directly state the observed differences, the locations and the limits of that observation. A conclusion about citywide traffic congestion would be unrelated unless the study truly covered it.
Teach students to reuse the original geographical question as a checking tool. Every main claim in the conclusion should help answer it or explain the remaining uncertainty.
Reliability, validity, bias and meaningful improvement
Reliability concerns whether the process gives consistent information
If two groups count the same location under comparable conditions, results should be reasonably consistent when the method is reliable. Clear category definitions, suitable instrument use and repeat observations can improve reliability.
Repeating the same biased recruitment method may produce a consistent result that is not representative. Reliability is not identical to validity or absence of bias. Students should explain what problem their proposed repetition would actually address.
Validity concerns whether the method measures the intended concept
An investigation asking about safety cannot be answered simply by counting how many trees are present, unless the study has a defensible connection and other suitable evidence. Counting trees may be reliable but not measure the safety concept intended.
A better approach could examine crossing conditions, perceived safety or incident evidence subject to safe and appropriate methods. The student should name the construct and demonstrate why the selected indicator captures it.
Bias can arise before the data are analysed
Sampling only willing morning visitors, asking leading questions or observing only convenient locations can create systematic distortion. A larger sample is not automatically representative if the same bias persists. Identify who might be systematically missed or influenced.
In an exam response, avoid the generic improvement ‘use more respondents’ unless the weakness truly concerns insufficient numbers. If only one group is represented, the more urgent change may be to include the missing population or location.
Accuracy is not the same as precision
A measurement can be consistently recorded to one decimal place yet still be inaccurate if the instrument is badly calibrated. Precision describes repeatability or resolution in the relevant context, while accuracy concerns closeness to a suitable reference or true value.
Students should match proposed improvements to the source of error: calibrating an instrument helps one kind of problem; comparing observer definitions helps another; a broader sampling frame helps a third.
Context limits transfer
Weather, public holidays, school schedules, construction works and transport disruptions may affect observations. A result collected on an unusually wet afternoon may not describe routine dry-weather behaviour. This does not invalidate the observation, but its scope must be reported.
A good evaluation names one material limitation and explains how it may affect the conclusion. ‘There could be errors’ is too vague to show geographic understanding.
Safety, consent and ethical fieldwork
School supervision is a requirement for real student investigations
Fieldwork can involve movement through public spaces, encounters with unfamiliar people and exposure to traffic or weather. Students should follow school instructions on permitted locations, adult supervision, group movement and emergency contact procedures. This article should not be treated as permission to conduct independent surveys of strangers.
A sensible risk review identifies the hazard, who could be affected and which control reduces the risk. For example, an observation point should not require students to stand in the roadway to count vehicles. An accessible safe viewpoint can still permit meaningful data collection.
Avoid collecting more personal information than the inquiry needs
If a question concerns people’s views about an area, the research may not need their full names, home addresses, telephone numbers or photographs. Use the least identifying information consistent with the approved educational purpose. Respect consent and school rules for any collection.
Participants should not be pressured into answering a survey, and their responses should not be altered to satisfy the researcher’s expectations. Fieldwork integrity includes accurate recording and appropriate privacy protection.
Observation does not justify unsafe intervention
A student studying traffic should not interfere with vehicles. A student evaluating the cleanliness of a river or shore should not enter hazardous water. A learner may analyse supplied data or a safe teacher-approved site instead. The most useful evidence is never worth an avoidable injury.
Risk management is itself part of sound geographical methods: a feasible investigation is one whose procedures can be carried out responsibly with the time, resources and expertise available.
Ten original fieldwork practice questions with worked reasoning
| Illustrative question | Useful response | Underlying skill |
|---|---|---|
| One site counted 48 pedestrians in 12 minutes; another 60 in 20 | 4 versus 3 per minute; the first has a higher rate | Standardise observation windows |
| Which source shows daily visitor volume over ten years? | A relevant, reliable existing visitor dataset | Choose appropriate secondary data |
| A questionnaire asks ‘Isn’t this park excellent?’ | It is leading and may influence answers | Identify response bias |
| Surveyors recruit only people at one bus stop | People using other modes or locations may be missed | Evaluate convenience sampling |
| A researcher selects names randomly from a complete list | Illustrates simple random sampling | Understand a sampling frame |
| A map states 1:10,000 and points are 3 cm apart | Straight-line ground distance is 300 m | Interpret scale |
| One bar chart includes categories without units | Add a clear axis title and units | Improve graphical communication |
| Five sites have higher visitors where shade is greater | Association does not prove shade alone caused it | Distinguish correlation from causation |
| Field observers disagree about ‘crowded’ | Define an operational count or threshold | Increase consistency and validity |
| A school wants to survey people across three zones | Stratify by zone and use an appropriate random selection if feasible | Match sampling to population |
These are simplified teaching examples, not SEC question predictions. Each tests a transferable reasoning operation. Once the learner can explain the answer, change the location, units, sample or graph design. The ability to handle the new setting is more useful than memorising these ten responses.
Extended practice: a visitor survey with a missing group
Imagine a fictional investigation of visitors to a waterfront area. The researcher interviews 40 people beside the café at noon. Thirty say they prefer shaded seating, and ten say they prefer open views. The direct finding is that 30 of those 40 café-area respondents selected shaded seating. The sample does not establish the preferences of everyone visiting the waterfront.
A critical response explains that people near a café at noon may have different preferences from cyclists using the path at sunrise or families visiting after school. A revised method might cover different entrances and times, with an appropriate sampling plan. It should also define whether participants can select more than one preference.
Extended practice: choosing a more useful graph
Suppose a class counts people by transport mode at three stations. If the aim is comparing absolute numbers across stations, grouped bars may be more informative than three unrelated pie charts. If the aim is comparing the percentage composition at each station, percentage displays could be more suitable. The best representation depends on the investigation question.
The student should be able to justify the graph choice, include labels and units, and explain any limitations of the data. Making a technically correct graph is only part of communicating geographical information.
Extended practice: evaluating reliability
Three observers record counts of 24, 25 and 40 for the same location in the same time interval. A useful response should investigate why the third observation differs, including possible category definitions, missed entrances or recording errors. It should not automatically delete 40 simply because it does not fit the desired pattern.
A better procedure might agree on a shared counting rule, observe the same visible boundary and conduct a supervised repeat under comparable conditions. The explanation identifies a cause of uncertainty and a targeted way of addressing it.
A four-week SEC G2 fieldwork preparation plan
| Week | What to practise | Evidence of improvement |
|---|---|---|
| 1 — Diagnose | One unfamiliar fieldwork question, including sampling, data and evaluation | Identify two repeated reasoning gaps |
| 2 — Repair | Sampling types, one calculation and one graphical representation | Student explains the method on new data |
| 3 — Transfer | Compare tourism, neighbourhood and weather fieldwork contexts | Appropriate methods selected without a familiar setting |
| 4 — Integrate | Timed K226 Paper 1 practice with Q1 fieldwork and Q2 tourism | Both compulsory questions completed; errors reviewed |
Four weeks is a repeatable improvement cycle, not a promise of full Geography mastery or a particular grade. Some learners need more time to develop data literacy and written explanation. Revision should include the Tourism half of Paper 1 and both halves of Paper 2; perfecting fieldwork alone cannot cover the whole subject.
An illustrative three-student tutorial
- Retrieve one sampling concept and one graph interpretation from earlier practice.
- Inspect a real incorrect fieldwork answer and locate the first invalid conclusion.
- Teach the missing methodological principle with a small invented dataset.
- Guide the learner through a changed sampling or evaluation scenario.
- Give an unfamiliar independent question to test transfer.
- Review evidence, precision and the next focused practice task.
This teaching rhythm adapts the diagnosis–explanation–guided practice–independent transfer principles shown in eduKateSG’s immutable Clementi three-pupil Mathematics tutorial reference. The teaching method is transferable; the reference does not confirm a currently operating K226 Geography tuition group.
Frequently asked questions
Which G2 Geography code tests geographical fieldwork?
Standalone G2 Geography K226 has compulsory Paper 1 Question 1 on Topic 1.3 Geographical Methods.
How many marks is the fieldwork question?
25 marks, half of the 50-mark Paper 1.
How long is Paper 1?
One hour 45 minutes for both compulsory questions.
Does the fieldwork examination require going outdoors on exam day?
The published national scheme specifies a structured fieldwork question; it does not list a separate outdoor practical paper.
Is the fieldwork context always about tourism?
No. The syllabus says it may or may not be based on one of the subject’s clusters.
Is the ten-week school fieldwork the same as a national coursework submission?
The syllabus includes ten-week extended fieldwork learning, but the published K226 assessment lists two written structured papers, not a separately graded national coursework component.
Are both Paper 1 questions compulsory?
Yes. Question 1 is fieldwork and Question 2 is Tourism. Neither can be skipped.
Where is the six-mark AO3 judgement task in Paper 1?
It is within Question 2 Tourism, not specifically the fieldwork Question 1.
Can a calculator be used?
An approved calculator may be used in both K226 papers.
What is the most important fieldwork exam skill?
Matching a useful method and defensible conclusion to the investigation question, while recognising the limits of the evidence.
Official sources and connected eduKate guides
- SEAB 2027 G2 Geography K226 official syllabus, Paper 1 fieldwork and Topic 1.3
- SEAB 2027 G2 syllabus directory
- How G2 Geography K226 Works — Complete Subject Guide
- How G2 Combined Humanities Geography K229 Differs
- Combined Humanities K229/K230/K231 Comparison
Checked against SEAB’s published 2027 K226 syllabus in November 2026. All fieldwork datasets and scenarios here are invented for teaching. They are not actual survey results or national exam questions. School safety requirements govern real fieldwork.
What to practise next
Give the student an unfamiliar investigation question about a place, one small data table and a description of how the data were collected. Ask what the evidence actually establishes, which group might be missing and how the method could improve. Then change the context and see whether the same reasoning still works. That is fieldwork mastery: a method that transfers beyond one excursion.
For a learning diagnosis or suitable small-group subject enquiry, contact eduKate Singapore. Confirm subject expertise, availability and supervision for any real investigation. No examination grade is guaranteed.