영어 모의고사 (자동 편성)

Over the past two decades, insights drawn from behavioral economics have moved beyond academic journals and into the machinery of government itself, ①reshaping how numerous public programs are designed and implemented. Tax authorities in several countries, for example, discovered that simply informing citizens how many of their neighbors had already paid overdue taxes on time substantially ②increased subsequent compliance rates, outperforming letters that merely threatened legal penalties for continued nonpayment. Public health agencies have applied similar principles to encourage preventive care, finding that appointment reminders phrased to emphasize the personal cost of a missed visit ③proved more effective than neutral reminders listing only the date and time. Employment offices redesigned job-seeking assistance programs around specific, actionable steps rather than general encouragement, discovering that participants who were asked ④to write down a concrete plan for the following week were considerably more likely to follow through than those who received only general advice. What unites these disparate interventions ⑤are a shared recognition that small, carefully tested adjustments to how choices are presented can produce measurable improvements in outcomes.

The discovery of CRISPR gene-editing technology gave scientists a tool ① precise enough to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. Yet the same precision that makes CRISPR so promising also makes it ② dangerous in the wrong hands. Editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code passed down to every future generation, a decision no single person should be allowed to make ③ alone. Scientific organizations around the world have therefore drawn a careful line, permitting gene editing to treat disease in existing patients while ④ permitting any edit that would be inherited by their descendants. Critics worry, however, that as the technology becomes cheaper and more widely available, this line will become harder to enforce than it is to draw ⑤.

Some critics ①dismiss this approach as impractical, arguing that most people cannot afford to prioritize ethics over affordability in daily life. However, supporters point out that value-based spending does not require constant ②sacrifice; it often means buying fewer, higher-quality items rather than accumulating cheap goods that wear out quickly. This shift also encourages companies to improve their practices, since consumer demand increasingly rewards ③transparency and responsibility. For example, a clothing brand that openly shares its supply chain information may attract ④disloyal customers willing to pay slightly more. Ultimately, value-based consumption suggests that spending money is not merely an economic act but also a ⑤reflection of personal values.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work ①decreases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, ②widening the pool of candidates. Critics, however, worry that remote work ③weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel ④isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be hybrid, ⑤combining flexibility with occasional in-person collaboration.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. Instead, it ___________, helping creators experiment faster while leaving final artistic decisions to humans.

Many students give up on their New Year goals because the goals feel too big to handle. For example, becoming fluent in English this year sounds exciting, but it can quickly feel overwhelming. A more effective approach is to ___________. Instead of focusing on the entire year, try setting a goal for just one week, such as learning twenty new words. Once you complete that small step, move on to the next one, and gradually build toward the bigger goal.

Imagine watching a fair coin land on heads five times in a row and feeling an increasingly strong intuition that the next flip is somehow due to produce tails. (A) This intuition, though psychologically compelling, rests on a basic misunderstanding of probability, since each flip of a fair coin remains entirely independent of every flip that came before it. (B) The coin possesses no memory of its previous outcomes, and its probability of landing on tails on the sixth flip stays fixed at fifty percent regardless of how many heads preceded it. (C) Casinos have long profited from this misconception, watching gamblers place larger bets after a losing streak simply because they mistakenly believe that a win has become statistically overdue.

Retailers rarely leave the shopping environment to chance. (A) For instance, cheerful background music and pleasant lighting are chosen specifically to keep shoppers relaxed and unhurried. (B) Every detail, from store layout to background music, is carefully designed to influence customer behavior. (C) As a result, customers often spend more time browsing and end up buying items they never intended to purchase.

주어진 문장: In fields ranging from medicine to law, these tools now perform tasks that once required years of human training. As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. ( ① ) AI can now analyze data, generate text, and even diagnose certain medical conditions with impressive accuracy. ( ② ) However, most researchers argue that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. ( ③ ) A machine can recommend a treatment plan based on statistics, for instance, but it cannot comfort a frightened patient the way a compassionate nurse can. ( ④ ) Similarly, AI can generate countless design variations, yet it lacks the lived experience that allows humans to judge which idea truly resonates with people. ( ⑤ ) For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence.

Because the two sums occupy entirely separate mental categories, the household feels no contradiction in treating them so differently. Consider a household that maintains two separate financial habits that, from a purely economic standpoint, appear difficult to reconcile. ( ① ) On one hand, the household carefully sets aside a fixed percentage of its income each month into a long-term retirement account, resisting any temptation to withdraw from it early. ( ② ) On the other hand, the same household carries a persistent balance on a credit card, paying a substantial interest rate simply for the convenience of short-term borrowing. ( ③ ) A purely rational calculation would suggest withdrawing a small amount from savings to eliminate the higher-interest debt, since the interest earned on savings is far lower than the interest owed on the card. ( ④ ) Yet the household rarely considers this option, since retirement savings are mentally categorized as untouchable while credit card debt is treated as a separate, ongoing obligation. ( ⑤ ) This example illustrates how mental accounting can lead to financial choices that persist despite being demonstrably suboptimal.