Quick answer: from the gene to the product, without skipping evidence
Human insulin is a useful example of biotechnology because it connects three ideas that students often keep in separate boxes: genetic information is carried in DNA, a gene can influence the production of a polypeptide, and a suitably engineered living cell can be used to make a useful biological product. This article explains the logic in clear stages. It is not a laboratory procedure, a guide to producing medicine, or advice about insulin treatment.
The short answer is that genetic engineering can introduce a gene associated with production of human insulin into a suitable bacterial system. The engineered cells may then be used as part of a controlled industrial manufacturing process. Merely introducing DNA does not prove that a functional, safe medicine has been made. Biological identity, production, purification and quality are different evidential questions. A learner must know exactly which one an examination prompt asks.
This is a focused G3 Biology guide, not a duplicate of the earlier general DNA guide or an account of blood glucose regulation. Volume 0155 covers the foundational relationships among DNA, genes and chromosomes; Volume 0231 owns hormonal feedback. Here the specific task is following a genetic engineering model and evaluating its claims.
The official 2027 G3 Biology syllabus K325, formerly 6093, expressly covers DNA, genes, chromosomes, gene transfer and a brief explanation of inserting the gene associated with human insulin production into bacterial DNA. Its learning outcomes also address benefits and ethical considerations of genetic engineering. The syllabus does not require the detailed stages of transcription and translation. Accordingly this guide teaches conceptual sequences and evidence appraisal, not additional technical protocols.
Nothing in the example below describes an actual company, school experiment, patient or medicine batch. Every dataset, label, percentage and quality decision is invented for study. Human medicines are regulated products. Students should not infer treatment guidance, safety approval, dosage or clinical equivalence from this illustration.
Thirty-two reasoning moves for G3 Biology biotechnology
1. Start with the gene, not the product
In the simplest explanation, a gene is a segment of DNA with a particular nucleotide sequence. The G3 syllabus identifies it as a unit of inheritance and describes a gene as coding for one polypeptide. The information is not the finished protein.
Students sometimes say that a DNA strand is itself insulin. That confuses genetic information with the product generated through cellular processes. A molecule carrying instructions and the molecule ultimately made from those instructions are not identical.
Write a three-stage chain: DNA contains a gene; the gene supplies information used in polypeptide production; the final product has to be identified and assessed. Add the words ‘information’ and ‘product’ at the appropriate places.
Practice explaining the relationship in two sentences without using the phrase ‘DNA turns into insulin’. Describe information being used, rather than matter magically changing from one kind of molecule into another.
2. Genes sit within DNA molecules
The terms gene, DNA and chromosome belong to different levels of description. DNA is a molecule, a gene is a sequence within DNA, and chromosomes are organised structures containing DNA. Describing them as exact synonyms makes later engineering explanations unstable.
If a prompt depicts an inserted segment, the student needs to distinguish that segment from the whole bacterial chromosome or other bacterial DNA. A labelled diagram may show a simplified vector; that diagram must not be mistaken for a complete molecular map.
Use a sentence that keeps the hierarchy intact: ‘A particular DNA sequence carrying genetic information was introduced into the recipient system.’ The sentence says what was transferred without turning every piece of DNA into the same kind of object.
On paper draw three nested labels: chromosome, DNA molecule and gene region. Then explain why the gene has a particular sequence while the entire chromosome contains many regions, not just one instruction.
3. Complementary pairing is a rule, not a product test
A DNA model uses the base-pairing rules A with T and C with G. If a fictional segment shows A–C–G–T on one strand, the complementary positions are T–G–C–A. This demonstrates a structural principle.
Matching bases does not by itself show that the resulting engineered cell produces a required protein. A correctly copied sequence and the expression of that sequence are distinct stages requiring different evidence.
In a G3 question, answer the base-pairing task directly before adding any biotechnological explanation. Students can lose clarity by writing a long paragraph about proteins when the question merely asks for the complementary bases.
Practise with five invented sequences, checking every base individually. Afterwards describe why the base exercise cannot alone establish the identity or activity of a manufactured product.
4. A bacterial cell is not a human cell
Bacteria are living cells with their own cellular machinery. The central biotechnology insight is that genetic information can be used in a recipient organism under suitable conditions. The cell is not converted into a human organism by receiving a gene.
The phrase ‘human bacteria’ is misleading in this context. The organism remains bacterial, even if a component of its engineered system is designed to produce a human protein. Distinguish the identity of the host from the origin or identity of a particular product.
Say ‘engineered bacteria used to produce human insulin’ rather than ‘bacteria becoming human cells’. That phrasing locates the engineering change where it belongs and avoids a fanciful description of the entire organism.
A diagram shows a bacterium with an added DNA segment. Describe two properties it may retain as a bacterium and the particular new capability the model is intended to represent. Keep your answer at the conceptual level.
5. DNA insertion is a stage, not proof of success
A classroom flow chart may show DNA carrying the relevant gene entering a bacterial system. This represents a fundamental step in genetic engineering. But the chart does not, simply by showing an arrow, establish that insertion, expression and product verification all succeeded.
A claim such as ‘the gene was inserted, therefore safe insulin was produced’ combines several conclusions without evidence for the intermediate stages. That is the precise logical jump students should learn to locate.
Write each stage as a question instead of assuming it happened: Was the intended genetic information introduced? Was a corresponding product made? Was the product correctly identified and appropriately assessed? A diagram may answer one question but leave the others open.
Practice annotating an invented flow chart with ‘shown’, ‘assumed’ and ‘not demonstrated’. Do not describe a result as measured when the graphic contains only a conceptual arrow.
6. Product identity differs from product amount
Imagine a fictional display reporting a large number of units of an unspecified protein. This may indicate a quantity, but it does not establish that the protein is the intended human insulin product. Identity and yield are distinct questions.
A student may be impressed by a high output number and overlook that the displayed record lacks any identification of the product. Quantity is meaningful only when the counted or weighed material is defined.
Use precise wording such as ‘The illustration reports a higher amount of protein-like material, but does not establish its identity.’ In a real regulated manufacturing setting, identity requires suitable independent evidence.
Try comparing two invented labels: ’80 units of total protein’ and ’80 units of identified target protein’. Explain why they are not interchangeable and what extra claim the second label makes.
7. Function is not the same as presence
Even where a particular protein has been identified, a further question concerns whether it performs the expected biological function. The mere presence of a named molecule in an educational diagram does not settle every issue about its activity.
A model can correctly represent the relationship between a gene and product while simplifying biological processing. An examination answer should not infer guaranteed activity, purity or suitability for patients from a simple instructional schematic.
Keep the levels separate: gene present, protein produced, protein identity established, activity considered and quality assessed. Not every school question asks about all levels, but none should be silently assumed from the preceding one.
Write a sentence beginning ‘The diagram supports the claim that…’ and another beginning ‘It does not establish whether…’. The second must identify a distinct downstream property, not simply repeat the first.
8. Use ‘may produce’ when outcomes are conditional
A genetic engineering schematic often describes what a suitably designed system can accomplish. That is a capability claim, not a record that every attempted system delivers the same yield or final product.
Absolute wording such as ‘every bacterium always makes identical amounts’ should alert the reader. Biological production can vary with the system and conditions. The educational task is to interpret that variation without inventing implementation details.
Use conditional verbs when the evidence is theoretical: ‘may’, ‘can under appropriate conditions’, or ‘is designed to’. Use observational verbs only when the prompt supplies an actual observation or experimental result.
Read four sentences of increasing confidence and identify the strongest one supported by a conceptual diagram. Explain why the version containing ‘always’ or ‘guarantees’ goes beyond the supplied source.
9. The model should show direction of information
Some pupils memorise the words ‘DNA’, ‘bacteria’ and ‘insulin’ in no particular order. A reliable answer connects them logically: identify the relevant genetic information, introduce it into a suitable recipient system, and use that system to produce the intended protein.
This is a conceptual sequence, not a set of instructions for performing genetic engineering. Do not invent precise procedural stages, laboratory settings or specialist methods that the question does not supply.
Write the account in three complete sentences, each with one main action. Connect the sentences with ‘first’, ‘then’ and ‘finally’ only if the time order is part of the question. A correct sequence is easier to mark and harder to misunderstand.
Practise reading the sequence backwards. Ask which step would be impossible to infer if the product stage were missing. Explain why the presence of the initial gene cannot substitute for observing the intended output.
10. The host and the product have different names
In an invented school poster, the label ‘human insulin bacteria’ is ambiguous. It could be read as saying the bacteria themselves are human or that all their biological material is insulin.
Improve the label to ‘Engineered bacterial production system for human insulin’. It identifies the biological host and the intended product without making either equivalent to the other.
The best label is not necessarily the most elaborate one. In G3 science, precise nouns reduce misunderstanding, particularly when several biological entities appear in one question. Add technical detail only when the prompt requires it.
Rewrite three fictional captions that confuse host, gene and protein. For each, list the subject, the property being claimed and the evidence that would support that property.
11. Separate naturally produced from engineered output
Human cells and engineered microbial systems are different sources of production. The study example should not imply that the microbial organism naturally produces human insulin in the absence of the relevant engineering context.
When explaining why genetic engineering matters, state that it can enable a suitable organism to produce a product associated with genetic information from another organism. The role of the transferred information is central.
A short comparison may be enough: human insulin participates in blood glucose regulation in the body; an engineered production system is designed to manufacture the protein. Those are different contexts with different questions.
Try answering a student’s question: ‘If bacteria produce insulin, do bacteria use it to regulate blood glucose?’ Explain why the purpose of a human hormone in humans should not be assumed to be the host’s natural physiological function.
12. A production graph asks a different question
A fictional graph shows production of the desired material over five observed periods. To interpret it, first read the vertical axis: total material, target-protein mass or relative signal? Then check whether values are cumulative or interval amounts.
Students can mistake a cumulative rise for a rising rate. If totals increase from 10 to 20 and then 25, the total still rises, but the increment fell from 10 to 5. The pattern tells a different story once its denominator is clear.
State the plotted quantity before describing the trend. A scientifically accurate sentence is ‘The cumulative output increases while successive increments become smaller’, if those are the axes and values supplied.
Construct a two-column table with total output and interval increment. Calculate differences between rows. Explain why a plotted increase does not by itself show that each later period was more productive than the previous one.
13. A control helps interpret a difference
In a conceptual investigation, an appropriate comparison system can help distinguish an effect associated with the engineered feature from changes common to all samples. Controls belong to valid inference, not merely to laboratory vocabulary.
The presence of a comparison, however, does not automatically resolve all alternative explanations. The controlled and comparison groups must be sufficiently alike in the aspects relevant to the question.
Describe the purpose of a control at a high level: it provides a basis for interpreting whether an observed difference is associated with the factor under study. Do not turn this lesson into a detailed genetic engineering protocol.
Suppose two fictional systems show different output readings, but only one has a clearly defined comparison group. Explain why the absence of a suitable baseline makes a causal conclusion harder to defend.
14. Change one claim at a time
When a source announces that an engineered system is ‘fast, cheap, safe and completely sustainable’, the sentence contains several independent claims. Evidence for one does not necessarily justify the others.
The word ‘fast’ requires an appropriate time comparison, ‘cheap’ requires specified cost information, ‘safe’ requires a relevant safety assessment, and ‘sustainable’ requires defined environmental measures. None follows automatically from gene transfer.
Create a claim–evidence matrix with four rows. For each adjective, write what kind of information would be necessary and whether the fictional poster provides it. A missing support column is not a reason to guess.
In an exam evaluation, address each promised benefit separately. The clearest answer may be that the genetic engineering concept is plausible while the promotional description is not supported by the supplied data.
15. Purity and yield must not be confused
A production batch can contain target material together with other components. The percentage of a batch identified as target material is not the same as the total batch mass or the efficiency of generating that material.
Imagine an invented 100 g batch containing 80 g of target material. It has an illustrative 80% target fraction, not 100 g of pure target product. This is a mathematics illustration, not a real medicine specification.
State the difference between gross mass and target mass in ordinary English before doing arithmetic. The equation target mass = total batch mass × target fraction makes the distinction visible.
For a 60 g fictional batch with a target fraction of 75%, calculate 45 g. Then explain why the calculation cannot verify identity, biological function, clinical use or regulatory compliance.
16. A process diagram may omit waste and loss
A simple textbook arrow from engineered cell to final product omits intermediate losses and quality checks for pedagogical reasons. It shows the governing idea, not the complete industrial process.
Learners must not equate a simplified schematic with an audited manufacturing flow. The fact that a model leaves out a stage does not prove that industry leaves it out; a diagram’s scope may be deliberately narrow.
When asked to evaluate a representation, name the omitted category only if relevant to the question. ‘The diagram does not show how the product is separated and assessed’ is more informative than ‘the diagram is wrong’.
Annotate a fictional flow chart with three questions: what enters, what leaves, and what is not represented? Discuss which missing information prevents a claim about final output quality.
17. Safety is a separate evidential claim
A school’s conceptual model can illustrate biotechnology, but it cannot certify that a manufactured medicine is safe for human use. Safety involves evidence and oversight beyond showing the genetic information and intended product.
Avoid the statement ‘because insulin is a natural human hormone, every engineered version is automatically safe’. Origin and biological purpose do not replace appropriate product evaluation.
Use the limited conclusion: ‘The teaching model describes a route to producing human insulin; it does not evaluate a medical product.’ This sentence protects scientific accuracy and readers’ understanding.
If a practice question asks whether the poster justifies a treatment claim, identify the missing type of evidence and state why a production schematic alone is insufficient. Do not give dosage or treatment instructions.
18. Genetic engineering is not the same as selective breeding
Selective breeding chooses organisms with desired existing traits over generations. Genetic engineering deliberately changes or introduces genetic information using biotechnology. Both can alter characteristics, but their mechanisms and timelines differ.
An examination comparison should say what is different, not merely repeat that both methods ‘improve organisms’. The phrase improvement is itself goal-dependent: a change useful for one purpose can have costs in another.
Give an example at the conceptual level. Breeding may select inherited traits across generations, while gene transfer can introduce specified genetic information into another organism. State that benefits and drawbacks must be considered in context.
Create a two-column comparison for the source of change, the unit being considered and the kind of evidence needed to establish the intended result. Avoid suggesting every engineered outcome is guaranteed.
19. A polypeptide is not a gene
The 2027 syllabus uses the term polypeptide for the product coded by a gene. A polypeptide is a chain of amino acids; a gene is a DNA sequence. Students need to retain the distinction when describing what bacteria make.
Writing ‘the bacteria copied the insulin gene as insulin’ can suggest that DNA molecules and protein molecules are the same. More accurate language states that the information in the gene is used in the production of the relevant polypeptide.
The assessment does not require a detailed account of transcription or translation. A concise explanation of the relationship is enough unless the supplied question adds other material.
Practise creating two flashcards, one titled ‘gene’ and one ‘polypeptide’. Place sequence, information, product and amino acids in the correct locations, then explain the link aloud.
20. A diagram label must match its arrow
In a schematic, one arrow may indicate transfer of genetic material and another may indicate production of a protein. They should not be given identical labels. Ask what moves or changes at each stage.
A common mistake is to infer that the product itself was placed into bacterial DNA. The gene, not the finished protein, is represented as the transferred genetic information in the simplest model.
Rewrite arrow labels using precise nouns: genetic information introduced, recipient cell with the introduced gene, intended polypeptide product. Do not add invented technical reactions or equipment names.
If an arrow points from the final product back into the DNA, decide whether it is a special feedback diagram or simply a wrongly drawn sequence. Justify your reading from the accompanying legend, not from guesswork.
21. A claim about scale requires scaling evidence
One successful conceptual demonstration does not prove that the same method works at large industrial scale, at a particular cost or without variation. The scale of a claim must match the scale of the evidence.
The word ‘mass-produced’ may describe a real industrial possibility in general discussion, but an invented school dataset cannot quantify national supply or company output without relevant numbers.
Distinguish feasibility in principle from verified capacity. An educational graph could show a hypothetical production pattern; a real output claim would require identified time periods, volumes and suitable quality information.
Practise rewriting ‘one flask made a useful product, so every hospital can receive unlimited supplies’ into a bounded statement about the illustrative technology and the information still needed.
22. Ethical analysis requires specific trade-offs
The syllabus invites discussion of benefits and ethical considerations. A strong answer goes beyond the slogans ‘science is good’ and ‘genetic engineering is dangerous’. It names who benefits, who bears costs and what is unknown.
Possible questions include access, affordability, oversight, use of modified organisms and responsible communication. The exact evaluation depends on the context and should not be reduced to personal fear or enthusiasm.
Organise an ethical paragraph with a benefit, a limitation, an affected group and a reasonable safeguard. For instance, a technology may help production, but access and oversight still matter. Keep public policy conclusions proportionate to the evidence.
Draft one argument in favour of a fictional educational biotechnology programme and one question a cautious visitor may reasonably ask. Answer both without assuming that every concern is irrational.
23. A balanced response is not a fifty-fifty ritual
If the evidence establishes a concept clearly, do not act as though the concept itself is equally doubtful simply because ethical questions remain. Conversely, the usefulness of a technology does not establish every promotional promise.
Balance means making distinctions: a technology may have demonstrated applications while a particular proposal lacks supporting evidence. Students should be able to accept the first and question the second.
Write a conditional conclusion: ‘The model explains a plausible application of genetic engineering, but decisions about this fictional product claim would require verified identity, quality and relevant oversight.’
Check your paragraph for false equivalence. Did you give an unsupported rumour the same evidential weight as a syllabus-backed biological principle? Or did you dismiss legitimate practical questions because the principle is established?
24. Do not infer treatment instructions from biology
Insulin is associated with control of blood glucose in humans, but the present learning task does not ask a learner to decide when or how it should be used medically. That is outside the classroom model’s scope.
A website about examination skills should not turn a genetic engineering chapter into a self-treatment guide. Even where a scientific fact is accurate, a different kind of evidence is needed for an individual healthcare decision.
State the subject boundary plainly: explain the purpose of the relevant hormone and the principle of biotechnology at the curriculum level; leave clinical decisions to qualified care and authoritative guidance.
If a hypothetical visitor asks for a dose after seeing a student poster, explain why the educational team cannot answer. Provide a courteous redirection rather than a guessed number or reassurance.
25. Reading tables before interpreting results
An invented table with columns ‘system’, ‘total protein’, ‘target fraction’ and ‘verified output’ contains four distinct quantities or labels. The examiner may ask for an observation in only one column.
Students often read the largest number and declare a winner without checking the units or whether the column describes total product or verified target. A table is an argument waiting to be interpreted, not an answer by itself.
Read the heading, unit, denominator and footnote for each column. Then choose only the values relevant to the question. If a result is missing, state that it is unavailable instead of treating the entry as zero.
Create two fictional rows in which the largest total output has a lower target fraction. Explain how a headline that reports only gross output could mislead a visitor about the quantity of the desired material.
26. Rate and total output can disagree
One fictional system may yield 80 illustrative units in eight hours, while another yields 60 in four hours. The first gives more in total; the second has the higher average output rate of 15 units per hour against 10.
Neither comparison alone establishes which system is better for every purpose. The task might value total yield, time, target fraction, cost or consistency. The criterion determines the answer.
Use the mathematical language correctly: total output is an amount, while average rate is amount per time. To compare systems fairly, keep definitions and observation intervals visible.
Practice a question that asks for the faster system, then one that asks for the larger total batch. Explain why the answers can differ without contradiction, and why this is not proof of medical suitability.
27. Interpret a low result before explaining it
A lower product reading may reflect numerous features of a hypothetical system, including measurement differences and the definitions of output. The data alone may not reveal the cause.
Learners sometimes invent a specific malfunction whenever a number is smaller. Scientific explanation needs more than an intuition that lower means failure. There may be a legitimate trade-off or an unresolved measurement issue.
Write an observation sentence first: ‘System B has a lower recorded output under the supplied conditions.’ Follow it with a qualified interpretation only if the design or related information supports one.
On a short-answer task, mark which parts of your response are read directly from the table and which are scientific hypotheses. Separate them with clear words such as ‘shows’ and ‘could’.
28. Question wording determines the response
‘State’, ‘describe’, ‘explain’, ‘compare’ and ‘evaluate’ ask for different work. A learner who knows the concept can still lose credit by answering a description question with a judgement or an evaluation question with a list.
For ‘state’, give the relevant fact. For ‘explain’, connect the mechanism to an outcome. For ‘compare’, use matched features. For ‘evaluate’, identify strength, limitation and conclusion using evidence from the scenario.
Build a one-line answer to ‘state what a gene is’, then a linked explanation of why a transferred gene can affect production in a host cell. These are not interchangeable, even though both refer to DNA.
Practise underlining the command word in ten questions. Before writing content, decide whether the response needs an observation, causal link, numerical comparison or justified judgement.
29. Evidence should follow the question, not the poster
A colourful exhibit may include an attractive diagram, a testimonial and a percentage. Not all content is relevant to a specific exam question. Source selection is a reasoning skill.
A testimonial may show that a visitor liked the exhibition; it cannot verify the identity of a protein. A graph may show a trend; it cannot by itself answer an ethical question. Accurate answers respect the role of each source.
Draw an evidence map: questions about gene transfer connect to the labelled genetic information; questions about trends connect to the relevant table; questions about public perception connect to the statement or survey.
When given several attachments, select the smallest set that supports the answer. Explain why one eye-catching but irrelevant detail was omitted. This is a habit of disciplined reading.
30. Check limitations without denying the principle
A simplified educational process can be scientifically useful even when it omits downstream stages. The appropriate criticism is that it cannot support certain additional claims, not that biotechnology does not exist.
A student who writes ‘the chart is not a complete manufacturing manual, therefore everything in it is false’ has confused scope with accuracy. Models can express a true principle without representing every detail.
Use the form ‘The diagram is suitable for illustrating X, but is insufficient to establish Y.’ Specify both X and Y in language tied to the question. That is more informative than a generic statement of uncertainty.
Practice applying this sentence pattern to a DNA base-pairing sketch, a conceptual gene-transfer diagram and a fictional output graph. Each has a different strength and a different limitation.
31. Write a compact full-mark explanation
An efficient answer to a conceptual question might say that the gene carrying information for the insulin polypeptide is introduced into a suitable bacterial system, which can then be used to produce the protein. If asked about evidence, add that the final product must be identified and assessed.
Long specialist detail is not automatically stronger. The 2027 G3 syllabus does not require detailed transcription and translation; inventing such stages can introduce mistakes and distract from the core causal link.
For a longer evaluation, develop the sequence, identify an evidence gap, discuss a specific benefit and a relevant ethical consideration. For a short response, stop once the requested link is explained correctly.
Write a 50-word answer and then a 120-word answer to different prompts. Explain what the longer answer adds and why adding every memorised fact would be ineffective.
32. A practical-skill mindset helps theory answers
The 2027 Biology practical syllabus assesses planning, manipulation and observation, presentation of data, and analysis, conclusions and evaluation. These habits support source-based theoretical questions too.
You need not perform genetic engineering to practise fair comparison, reading tables, or identifying whether evidence supports a conclusion. Use safe paper models and fictitious datasets instead of attempting laboratory procedures.
In a written exercise, label variables, observations, derived quantities and interpretation. Then identify one source of uncertainty and one proportionate improvement. This rehearses the reasoning of practical science without reproducing a technical method.
Choose one invented table and write an observation that does not contain a cause. Then write a separate explanatory hypothesis and specify the missing evidence needed to test it.
33. A final diagnostic of independent mastery
The learner should now distinguish gene from protein, host from product, a conceptual possibility from an observed result, total output from target fraction, and educational benefit from verified medical claim.
If any distinction remains unstable, return to one focused exercise instead of rereading the entire chapter. A precise repair is more effective than another full worksheet when the source of the error is known.
An independent response should begin with the question, explain the necessary biological chain, quote only the data that support the specific inference, and stop before making claims beyond the evidence.
Attempt this challenge: a fictional exhibition says that an inserted gene guarantees an unlimited supply of fully safe medicine. Identify four different claims embedded in that sentence and explain what the simplified diagram does and does not establish.
Applied decision, connected guides and official reference
**A worked decision:** An imaginary school display shows two conceptual production systems. One has a larger total protein reading; the other has a higher target fraction. Neither display identifies a verified medicine or supplies information about clinical use. The accurate answer is not to choose a system for patients. It is to explain the gene-to-polypeptide principle, compute the relevant quantities if asked, and identify the evidence absent from the safety claim. That is the boundary between a good examination answer and a confident mistake.
**Revision route:** First read DNA and complementary bases. Then revise the function of insulin in human homeostasis. For a communication transfer, use the earlier public inquiry writing volume and practise narrowing an exaggerated claim. Secondary transition study habits begin in the after-PSLE learner route.
**Official check:** Consult the SEAB 2027 G3 school-candidate syllabus index, last updated 26 October 2026, and the official K325 G3 Biology syllabus for the relevant learning outcomes and assessment instructions. The production records and questions in this guide are original classroom illustrations, not SEAB examination items.
