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A Level H1 General Paper Comprehension Quiz

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Questions

A-Level General Paper H1 Quiz - Comprehension

Name: ____________________________ Class: ____________________________ Date: ____________________________ Score: ______ / 50

Duration: 1 hour 30 minutes Total Marks: 50

Instructions:

Read the passage carefully before attempting the questions.
Answer ALL questions.
Use your own words as far as possible unless otherwise stated.
The number of marks allocated to each question is shown in brackets [ ].
Write your answers in the spaces provided.

SECTION A: Comprehension Short-Answer Questions [25 marks]

Read the passage below and answer Questions 1–10.

The Rise of Algorithmic Decision-Making

In the past decade, algorithms have quietly infiltrated nearly every domain of human decision-making. From determining who gets a loan to predicting which patients are most likely to develop chronic diseases, these mathematical models now wield extraordinary influence over individual lives. Proponents argue that algorithms reduce human bias, process vast quantities of data with superhuman speed, and deliver consistent outcomes. Yet a growing body of research suggests that the reality is far more troubling.

The first concern is transparency. Many algorithmic systems operate as "black boxes" — even their creators cannot fully explain how a particular output was reached. When a bank's algorithm denies a loan application, the applicant often receives no meaningful explanation, only a generic rejection notice. This opacity is not merely inconvenient; it strikes at the heart of due process. If a decision cannot be explained, it cannot be challenged, and if it cannot be challenged, accountability becomes meaningless.

Compounding this problem is the issue of embedded bias. Algorithms learn from historical data, and historical data reflects historical injustices. A hiring algorithm trained on a decade of recruitment data from a company that predominantly hired men will inevitably learn to favour male candidates. The algorithm does not intend to discriminate; it simply identifies patterns. But the effect is the same: systemic inequality is not merely preserved but laundered through the veneer of mathematical objectivity.

Some regulators have begun to respond. The European Union's General Data Protection Regulation (GDPR) includes a "right to explanation," requiring organisations to provide meaningful information about the logic involved in automated decisions. Singapore's Model AI Governance Framework recommends that AI systems be transparent and explainable. However, these frameworks remain largely aspirational. Enforcement is patchy, and the technical challenge of making complex models interpretable is formidable.

Defenders of algorithmic decision-making counter that human decision-making is itself riddled with inconsistency and prejudice. A judge who has not had breakfast may hand down harsher sentences; a recruiter may unconsciously favour candidates who share their alma mater. At least algorithms, they argue, can be audited and improved in ways that human intuition cannot. There is some truth in this defence, but it sets a dangerously low bar. The choice is not between imperfect humans and imperfect algorithms; it is about which system we can best understand, regulate, and hold accountable.

Perhaps the most insidious effect of algorithmic decision-making is the way it reshapes human agency. When people are told that an algorithm has determined their creditworthiness, their employability, or their risk of reoffending, they may internalise these judgements as objective truths rather than contingent predictions. A young person told by an algorithm that they are unlikely to succeed in higher education may abandon their aspirations altogether. The algorithm does not merely predict the future; it actively constructs it.

The path forward requires not the abandonment of algorithms but their democratisation. Citizens need access to the tools and literacy required to interrogate the systems that govern their lives. Educational institutions must equip students not only to use technology but to question it. And policymakers must resist the seductive efficiency of algorithmic governance without accountability. The question is not whether algorithms will shape our future — they already do — but whether we will shape the algorithms.

Question 1. According to the passage, what are TWO advantages of algorithmic decision-making cited by proponents? [2]

Question 2. What does the author mean by the phrase "black boxes" in line 7? Explain in your own words. [2]

Question 3. Explain the author's use of the word "laundered" in line 15. [2]

Question 4. In your own words, explain what the author means by "the veneer of mathematical objectivity" (lines 15–16). [2]

Question 5. According to the passage, what is the "right to explanation" under the GDPR, and why is it significant? [3]

Question 6. Explain the author's use of the phrase "dangerously low bar" (line 26). What is the author suggesting about the defence of algorithms? [2]

Question 7. What does the author mean by "human agency" in line 30? How does algorithmic decision-making affect it according to the passage? [3]

Question 8. Identify the tone of the final paragraph. Choose from the following and explain your answer with reference to the text: optimistic, resigned, urgent, sarcastic. [2]

Question 9. The author states that "the algorithm does not merely predict the future; it actively constructs it" (lines 34–35). Explain this statement with reference to the example given in the passage. [3]

Question 10. Which of the following best summarises the author's overall argument in the passage? [2]

(A) Algorithms are inherently biased and should be banned from all decision-making processes. (B) Algorithmic decision-making offers efficiency but raises serious concerns about transparency, bias, and accountability that must be addressed. (C) Human decision-making is superior to algorithmic decision-making in every respect. (D) The GDPR has successfully solved the problems associated with algorithmic decision-making.

Answer: ______

SECTION B: Summary [8 marks]

Question 11. Using your own words as far as possible, summarise the problems associated with algorithmic decision-making as described in the passage.

Use only information from lines 6 to 35. Your summary must be in continuous writing (not in note form). It must not exceed 120 words.

SECTION C: Application Question [7 marks]

Question 12. The passage discusses concerns about algorithmic decision-making. Consider the following scenario:

Your school is considering adopting an AI system to help allocate students to subject streams based on their academic performance, attendance records, and extracurricular involvement. The school claims the system will remove teacher bias and ensure fair placement.

Using ideas from the passage and your own knowledge, write a response of about 200 words in which you evaluate whether the school should adopt this AI system. In your response, you should:

Discuss the potential benefits of the system
Discuss the potential problems the system might create
Suggest measures the school could take to address these problems
Give your own reasoned conclusion

SECTION D: Comprehension – Second Passage [10 marks]

Read the passage below and answer Questions 13–20.

The Paradox of Connectivity

We live in the most connected era in human history. Over five billion people now have access to the internet, and social media platforms have created virtual public squares where ideas circulate at unprecedented speed. Yet by almost every measurable indicator, people report feeling more isolated, more anxious, and more divided than ever before. This is the paradox of connectivity: the tools designed to bring us together are driving us apart.

The architecture of social media is partly to blame. Platforms are designed to maximise engagement, and the most engaging content is often the most emotionally provocative. Outrage, fear, and moral indignation generate more clicks than nuance or compromise. The result is an information ecosystem in which extreme views are amplified while moderate voices are drowned out. Users are not exposed to a balanced diet of perspectives but are instead fed a steady stream of content that confirms and intensifies their existing beliefs — a phenomenon known as the "filter bubble."

The consequences extend beyond individual psychology. Democratic discourse depends on a shared set of facts and a willingness to engage with opposing viewpoints. When citizens inhabit entirely different information universes, compromise becomes impossible. Political polarisation is not merely a social media problem, but social media has accelerated it dramatically. Studies have shown that deactivating social media accounts for as little as four weeks significantly reduces political animosity.

Some argue that the solution lies in digital literacy — teaching people to critically evaluate online information and recognise manipulation. This is necessary but insufficient. The problem is not merely that individuals lack critical thinking skills; it is that the platforms themselves are structurally designed to exploit cognitive vulnerabilities. Expecting users to resist the persuasive design of systems engineered by thousands of behavioural scientists is like expecting a child to resist a candy shop. Individual responsibility matters, but systemic reform is essential.

Others point to regulation. Governments in several countries have introduced legislation requiring platforms to disclose how their algorithms curate content and to remove harmful material within specified timeframes. Australia's Online Safety Act and the EU's Digital Services Act represent serious attempts to hold platforms accountable. Yet regulation faces an inherent challenge: technology evolves faster than legislation, and platforms operate across borders in ways that no single government can easily control.

There is also a deeper, more philosophical dimension to this paradox. Connection, in the digital sense, is not the same as communion. Scrolling through hundreds of updates from acquaintances is not equivalent to a meaningful conversation with a friend. The quantity of interaction has increased, but the quality has diminished. We have mistaken breadth for depth, and in doing so, we have sacrificed the very thing we sought.

Perhaps what is needed is not less technology but a more intentional relationship with it. This means designing platforms that prioritise user well-being over engagement metrics, creating digital spaces that reward deliberation rather than reaction, and cultivating habits of mind that resist the pull of the infinite scroll. The paradox of connectivity is not inevitable. It is a choice — and choices can be unmade.

Question 13. According to the passage, what is the "paradox of connectivity"? Answer in your own words. [2]

Question 14. Explain what the author means by "filter bubble" in line 12. [2]

Question 15. Explain the author's use of the simile "like expecting a child to resist a candy shop" (lines 22–23). What point is the author making? [2]

Question 16. According to the passage, what evidence suggests that social media contributes to political polarisation? [2]

Question 17. In lines 28–30, the author states that "regulation faces an inherent challenge." Explain this challenge in your own words. [2]

Question 18. What distinction does the author draw between "connection" and "communion" (lines 33–36)? Explain in your own words. [3]

Question 19. Identify TWO rhetorical devices used in the final paragraph and explain their effect. [2]

Question 20. In the final paragraph, the author writes: "The paradox of connectivity is not inevitable. It is a choice — and choices can be unmade." What attitude does this reveal about the author's view of technology? Explain with reference to the passage. [3]

END OF QUIZ

Answers

A-Level General Paper H1 Quiz - Comprehension: Answer Key

SECTION A: Comprehension Short-Answer Questions [25 marks]

Question 1. [2 marks] According to the passage, what are TWO advantages of algorithmic decision-making cited by proponents?

Answer:

Algorithms reduce human bias in decision-making.
They process vast quantities of data with superhuman speed and deliver consistent outcomes.

Marking Notes:

Award 1 mark for each correct advantage, up to a maximum of 2 marks.
Accept any two of the following: reduction of human bias, speed of data processing, consistency of outcomes.
Do not accept answers that merely lift "reduce human bias" and "deliver consistent outcomes" as a single combined point — they must be clearly distinct.

Question 2. [2 marks] What does the author mean by the phrase "black boxes" in line 7? Explain in your own words.

Answer: "Black boxes" refers to algorithmic systems whose internal workings and decision-making processes are opaque or hidden — even the creators of these systems cannot fully explain how a particular result or output was produced.

Marking Notes:

Award 2 marks for a clear explanation in the student's own words that captures the idea of opacity / lack of transparency / inability to explain how outputs are generated.
Award 1 mark for a partial answer that identifies the idea of something being hidden but does not connect it to the inability to explain or challenge the decision.
Do not accept direct lifts of "black boxes" without explanation.

Question 3. [2 marks] Explain the author's use of the word "laundered" in line 15.

Answer: The word "laundered" is used metaphorically to suggest that systemic inequality and bias are being disguised or cleaned up — made to appear legitimate and objective — through the use of algorithms. Just as money laundering makes illegal funds appear legal, algorithmic decision-making makes discriminatory patterns appear neutral and fair.

Marking Notes:

Award 2 marks for explaining both the metaphorical meaning (disguising/making something unacceptable appear acceptable) and its application to the passage (bias being hidden behind a facade of objectivity).
Award 1 mark for identifying the general idea of disguise/hiding without connecting it to the specific context.
Common mistake: Students may explain "laundered" only in its literal, financial sense without connecting it to the author's rhetorical purpose.

Question 4. [2 marks] In your own words, explain what the author means by "the veneer of mathematical objectivity" (lines 15–16).

Answer: The phrase means a superficial appearance of fairness and neutrality created by the use of mathematics and algorithms. The word "veneer" suggests that this objectivity is only a thin surface layer — beneath it, the algorithms may still perpetuate bias and inequality, but the mathematical format makes the decisions appear impartial and scientific.

Marking Notes:

Award 2 marks for a clear paraphrase that captures both the superficiality ("veneer" = thin, surface-level) and the false sense of fairness ("mathematical objectivity" = appearing neutral/scientific).
Award 1 mark for addressing only one element (either the superficiality or the false objectivity).
Common mistake: Students may explain "objectivity" without addressing the critical connotation of "veneer" as something deceptive or superficial.

Question 5. [3 marks] According to the passage, what is the "right to explanation" under the GDPR, and why is it significant?

Answer: The "right to explanation" is a provision under the European Union's General Data Protection Regulation that requires organisations to provide meaningful information about the logic and processes involved in automated decisions that affect individuals. It is significant because it addresses the "black box" problem — without the ability to understand how a decision was made, individuals cannot meaningfully challenge or appeal against it, undermining accountability and due process.

Marking Notes:

Award 1 mark for identifying what the right to explanation is (requiring organisations to explain the logic of automated decisions).
Award 1 mark for identifying the significance (it allows individuals to understand and challenge decisions).
Award 1 mark for linking it to the broader issue of accountability/transparency/due process.
Answers that merely lift "meaningful information about the logic involved" without further explanation receive a maximum of 1 mark.

Question 6. [2 marks] Explain the author's use of the phrase "dangerously low bar" (line 26). What is the author suggesting about the defence of algorithms?

Answer: The phrase "dangerously low bar" suggests that defenders of algorithms are justifying them by comparing them only to the worst aspects of human decision-making (inconsistency and prejudice), rather than holding algorithms to a higher standard of transparency and accountability. The word "dangerously" implies that this weak justification is risky because it may lead to uncritical acceptance of flawed systems.

Marking Notes:

Award 2 marks for explaining both the idea of a weak/insufficient comparison and why it is "dangerous" (it sets inadequate standards / leads to uncritical acceptance).
Award 1 mark for explaining only one element.
Common mistake: Students may explain "low bar" as simply "a low standard" without addressing the author's critical tone and the implication that this is risky.

Question 7. [3 marks] What does the author mean by "human agency" in line 30? How does algorithmic decision-making affect it according to the passage?

Answer: "Human agency" refers to individuals' capacity to make their own choices, form their own aspirations, and act independently in shaping their lives. According to the passage, algorithmic decision-making undermines human agency because people may internalise algorithmic judgements (such as being told they are unlikely to succeed in higher education) as objective truths rather than as contingent predictions. This can cause individuals to abandon their ambitions, effectively allowing the algorithm to shape their future rather than making autonomous decisions.

Marking Notes:

Award 1 mark for defining "human agency" (individuals' ability to make independent choices / shape their own lives).
Award 2 marks for explaining the effect: people internalise algorithmic judgements as objective truths, leading them to abandon aspirations / alter their behaviour based on predictions.
Award 1 mark for the definition and 1 mark for a partial explanation of the effect.
Accept the example of the young person and higher education as valid supporting evidence.

Question 8. [2 marks] Identify the tone of the final paragraph. Choose from the following and explain your answer with reference to the text: optimistic, resigned, urgent, sarcastic.

Answer: The tone is urgent. The author calls for concrete action — democratising algorithms, equipping citizens with literacy tools, and holding policymakers accountable. Phrases such as "must equip," "must resist," and "the question is not whether algorithms will shape our future — they already do" convey a sense of pressing necessity rather than passive acceptance or sarcasm. While there is a note of optimism in the final sentence ("but whether we will shape the algorithms"), the dominant tone is one of urgency about the need for immediate and deliberate action.

Marking Notes:

Award 1 mark for correctly identifying the tone as "urgent."
Award 1 mark for supporting the answer with relevant textual evidence (e.g., imperative language, calls to action, "must").
Accept "optimistic" with strong justification (reference to the empowering final sentence) for 1 mark only, as the dominant tone is urgent.
Do not accept "resigned" or "sarcastic" — the author is clearly advocating for action, not giving up or mocking.

Question 9. [3 marks] The author states that "the algorithm does not merely predict the future; it actively constructs it" (lines 34–35). Explain this statement with reference to the example given in the passage.

Answer: The statement means that algorithms do not passively forecast what will happen — instead, their predictions can directly influence people's behaviour and outcomes, thereby causing the predicted result to come true. The passage gives the example of a young person who is told by an algorithm that they are unlikely to succeed in higher education. If the young person internalises this prediction as an objective truth, they may abandon their aspirations and not pursue higher education — thus the algorithm's prediction becomes self-fulfilling. The algorithm has not merely observed a likely outcome; it has actively brought that outcome into being by influencing the individual's choices.

Marking Notes:

Award 1 mark for explaining the distinction between prediction and construction (the idea of a self-fulfilling prophecy).
Award 1 mark for referencing the specific example from the passage (the young person and higher education).
Award 1 mark for explaining the causal mechanism (the young person internalises the prediction and changes their behaviour accordingly).
Common mistake: Students may explain the quote in general terms without referencing the specific example from the passage — this limits the answer to a maximum of 2 marks.

Question 10. [2 marks] Which of the following best summarises the author's overall argument in the passage?

Answer: (B) Algorithmic decision-making offers efficiency but raises serious concerns about transparency, bias, and accountability that must be addressed.

Marking Notes:

Award 2 marks for the correct answer (B).
Award 0 marks for any other option.
(A) is incorrect because the author explicitly states that the solution is "not the abandonment of algorithms."
(C) is incorrect because the author acknowledges that human decision-making is also flawed.
(D) is incorrect because the author describes the GDPR framework as "largely aspirational" with "patchy" enforcement.

SECTION B: Summary [8 marks]

Question 11. [8 marks]

Expected Content Points (based on lines 6–35):

Algorithmic systems lack transparency / operate as "black boxes" — even creators cannot explain how outputs are reached.
This opacity prevents individuals from challenging decisions, undermining accountability and due process.
Algorithms learn from historical data that reflects past injustices, embedding and perpetuating systemic bias.
This bias is disguised behind an appearance of mathematical neutrality/objectivity.
Regulatory responses (GDPR, Singapore's framework) exist but are largely aspirational with patchy enforcement.
Making complex models interpretable poses a significant technical challenge.
Defenders argue algorithms can be audited and improved, unlike human intuition, but this sets a dangerously low bar.
Algorithms can reshape human agency — people may internalise algorithmic judgements as objective truths, altering their behaviour and aspirations.

Marking Scheme:

Marks	Descriptor
7–8	Accurate, well-paraphrased summary covering at least 6–8 content points in fluent, concise prose. Within word limit.
5–6	Covers 4–5 content points with generally good paraphrasing. May include some lifting. Within or close to word limit.
3–4	Covers 2–3 content points. Significant lifting from the passage. May exceed word limit.
1–2	Covers 1 content point. Heavy lifting or irrelevant material.
0	No relevant content or entirely copied from passage.

Model Summary (for reference): Algorithmic systems are often opaque, preventing users from understanding or challenging decisions, which undermines accountability. They also inherit biases from historical data, perpetuating inequality under a facade of neutrality. Although regulations like the GDPR aim to improve transparency, enforcement remains inconsistent and the technical challenges are significant. While proponents argue algorithms are auditable unlike human judgement, this comparison sets an unacceptably low standard. Furthermore, algorithms can erode human agency by causing individuals to accept algorithmic predictions as fixed truths, thereby shaping their own futures.

(Word count: 98)

SECTION C: Application Question [7 marks]

Question 12. [7 marks]

Marking Descriptors:

Marks	Descriptor
6–7	Thoughtful, well-structured response that demonstrates clear engagement with ideas from the passage. Discusses both benefits and problems with specific reference to the school context. Proposes practical measures. Reaches a clear, reasoned conclusion.
4–5	Addresses benefits and problems with some reference to passage ideas. Suggests at least one measure. Conclusion present but may lack depth.
2–3	Limited engagement with passage ideas. Discussion of benefits or problems may be one-sided. Measures and conclusion may be vague or missing.
1	Minimal response with little relevance to the passage or scenario.
0	No response or entirely irrelevant.

Expected Response Elements:

Potential benefits (from passage and own knowledge):

Removes / reduces teacher bias in stream allocation.
Processes large amounts of data (academic performance, attendance, extracurriculars) consistently and efficiently.
Ensures uniform criteria are applied to all students.

Potential problems (from passage and own knowledge):

Transparency: Students may not understand why they were placed in a particular stream, leading to frustration and a sense of injustice (black box problem).
Embedded bias: If historical data reflects past biases (e.g., certain demographics being steered away from science streams), the algorithm may perpetuate these patterns.
Human agency: Students may accept the algorithm's decision as definitive and not appeal or strive for a different stream, limiting their own aspirations.
Over-reliance on data: The algorithm may not capture intangible qualities such as passion, potential for growth, or personal circumstances.

Suggested measures:

Ensure the algorithm's criteria and weighting are transparent and shared with students and parents.
Establish a clear appeals process for students who wish to challenge their stream allocation.
Use the AI system as a recommendation tool rather than a final decision-maker, with human teachers making the final judgement.
Regularly audit the algorithm's outputs for demographic bias.
Provide counselling to help students understand that the placement is a guide, not a fixed destiny.

Conclusion:

A balanced conclusion might argue that the school should adopt the system as a supplementary tool while maintaining human oversight, transparency, and an appeals process — rather than relying on it entirely.

SECTION D: Comprehension – Second Passage [10 marks]

Question 13. [2 marks] According to the passage, what is the "paradox of connectivity"? Answer in your own words.

Answer: The paradox of connectivity is that despite having more tools and platforms for communication and connection than ever before (internet, social media), people are experiencing greater feelings of isolation, anxiety, and social division. The very technologies designed to unite people are actually contributing to their disconnection.

Marking Notes:

Award 2 marks for a clear paraphrase that captures both the increased connectivity and the contradictory outcome (isolation/division).
Award 1 mark for addressing only one side of the paradox.
Common mistake: Students may describe only the connectivity or only the isolation without explaining the contradiction.

Question 14. [2 marks] Explain what the author means by "filter bubble" in line 12.

Answer: A "filter bubble" refers to the situation in which social media algorithms selectively show users content that aligns with their existing beliefs and preferences, creating an enclosed informational environment. Users are not exposed to diverse or opposing viewpoints but instead receive a continuous stream of content that reinforces and intensifies what they already think.

Marking Notes:

Award 2 marks for a clear explanation that includes both the selective nature of the content and the reinforcement of existing beliefs.
Award 1 mark for a partial explanation (e.g., only mentioning that users see what they already agree with, without explaining the algorithmic curation).

Question 15. [2 marks] Explain the author's use of the simile "like expecting a child to resist a candy shop" (lines 22–23). What point is the author making?

Answer: The simile compares social media users trying to resist the persuasive design of platforms to a child trying to resist the temptation of a candy shop. The author's point is that it is unrealistic to expect individuals to exercise self-control and critical thinking when the platforms are deliberately engineered by teams of behavioural scientists to be addictive and manipulative. The simile emphasises that the problem is systemic (platform design) rather than merely a failure of individual willpower.

Marking Notes:

Award 1 mark for explaining the comparison (child = user, candy shop = social media platform).
Award 1 mark for explaining the author's point (individual responsibility is insufficient; systemic/platform-level reform is needed).
Common mistake: Students may explain the simile literally without connecting it to the author's argument about systemic vs. individual responsibility.

Question 16. [2 marks] According to the passage, what evidence suggests that social media contributes to political polarisation?

Answer: The passage cites studies showing that deactivating social media accounts for as little as four weeks significantly reduces political animosity. This suggests that social media use directly increases political division and hostility.

Marking Notes:

Award 2 marks for correctly identifying the study and its implication.
Award 1 mark for identifying the study without explaining its significance.
Do not accept vague references to "social media causes division" without citing the specific evidence from the passage.

Question 17. [2 marks] In lines 28–30, the author states that "regulation faces an inherent challenge." Explain this challenge in your own words.

Answer: The challenge is that technology develops and changes much more quickly than laws can be written and updated, making regulation perpetually outdated. Additionally, social media platforms operate across multiple countries and jurisdictions, so no single government can effectively control or regulate them on its own.

Marking Notes:

Award 1 mark for each of the two challenges identified (pace of technological change vs. legislation; cross-border operation of platforms).
Award 1 mark for a general explanation that captures the idea that regulation struggles to keep up, even if only one specific challenge is mentioned.

Question 18. [3 marks] What distinction does the author draw between "connection" and "communion" (lines 33–36)? Explain in your own words.

Answer: "Connection" refers to the superficial, quantitative interactions enabled by digital technology — such as scrolling through hundreds of social media updates from acquaintances. "Communion," by contrast, refers to deeper, more meaningful human interaction — such as having a genuine, substantive conversation with a close friend. The author argues that while digital tools have increased the number of interactions (connection), they have reduced the depth and quality of those interactions (communion). We have prioritised breadth over depth and, in doing so, have lost the meaningful relationships we were seeking.

Marking Notes:

Award 1 mark for defining "connection" (superficial, quantitative digital interaction).
Award 1 mark for defining "communion" (deep, meaningful human interaction).
Award 1 mark for explaining the author's critique (we have sacrificed quality for quantity).
Common mistake: Students may treat the two words as synonyms without identifying the author's deliberate contrast.

Question 19. [2 marks] Identify TWO rhetorical devices used in the final paragraph and explain their effect.

Answer:

Parallelism / Tripling: "designing platforms that prioritise user well-being… creating digital spaces that reward deliberation… and cultivating habits of mind…" — The repeated grammatical structure creates a rhythmic, persuasive effect and emphasises the breadth of the proposed solutions, making the argument feel comprehensive and actionable.
Antithesis / Contrast: "not less technology but a more intentional relationship with it" — The juxtaposition of "less" with "more intentional" sharpens the author's argument that the issue is not the quantity of technology but how we choose to engage with it. It reframes the debate and positions the author's view as balanced and nuanced.

Marking Notes:

Award 1 mark for each correctly identified rhetorical device with a valid explanation of its effect, up to a maximum of 2 marks.
Acceptable devices include: parallelism/tripling, antithesis, metaphor ("infinite scroll"), imperative mood, rhetorical structure of the final sentence ("not inevitable… a choice… unmade").
Do not accept identification without explanation of effect.

Question 20. [3 marks] In the final paragraph, the author writes: "The paradox of connectivity is not inevitable. It is a choice — and choices can be unmade." What attitude does this reveal about the author's view of technology? Explain with reference to the passage.

Answer: This reveals that the author holds a cautiously empowered and proactive attitude toward technology. The author does not view the negative effects of technology as unavoidable or deterministic. By calling the paradox "a choice," the author places responsibility on humans — the designers, policymakers, and users — rather than on the technology itself. The phrase "choices can be unmade" suggests optimism: the problems created by current technology can be reversed through deliberate action, such as redesigning platforms, implementing regulation, and cultivating better digital habits. This attitude is consistent with the author's earlier argument that systemic reform, not individual blame, is the solution.

Marking Notes:

Award 1 mark for identifying the attitude (proactive / empowered / cautiously optimistic / anti-deterministic).
Award 1 mark for explaining the significance of "a choice" (humans have agency; the problem is not inevitable).
Award 1 mark for connecting the attitude to the broader argument in the passage (systemic reform, intentional design, human agency).
Common mistake: Students may describe the attitude as simply "optimistic" without explaining the nuance that the author is arguing against technological determinism.

END OF ANSWER KEY