영어 모의고사 (자동 편성)

Many people believe that a new habit becomes automatic after only twenty-one days, but researchers who ①examined real behavior found a different number. This project, ②called the 66-day habit formation study, tracked volunteers who tried to adopt a new daily habit, like drinking water with lunch. Researchers measured how automatic each action felt over time and found that habits ③needing an average of sixty-six days to become effortless. Yet the actual time varied widely, ranging from about eighteen days for simple habits to over two hundred days for ④difficult ones. This wide range explains why the popular twenty-one-day claim, though easy ⑤to remember, rarely matches real experience.

Last summer, I ①worked part-time at a small coffee shop near my house. At first, I only wanted to earn some spending money, but the job ②taught me far more than that. I learned how to stay calm during busy hours when orders ③piled up quickly. One day, a customer complained loudly about a mistake in her order. Instead of ④argue, I apologized and quickly made a new drink for her. She left with a smile, and my manager praised my patience ⑤afterward.

Suppose you meet a quiet, ①gentle man who speaks softly, tends a small garden, and organizes his bookshelf with meticulous care. Asked whether he is more likely a florist or a truck driver, most people ②instinctively choose florist, since his personality matches the stereotype so neatly. This judgment, however, ignores a crucial fact: truck drivers vastly ③trail florists in almost every country, which means that, statistically, he is far more likely to belong to the larger group regardless of how well he fits the flower-shop image. Relying on resemblance to a familiar category rather than on underlying numerical proportions, known among researchers as representativeness, leads people to overlook these base rates almost ④automatically. Even trained professionals, who should know better, often fall into the same trap when a vivid description feels more ⑤convincing than plain statistics.

Modern factories increasingly rely on collaborative robots, often called cobots, which are designed to work ①safely alongside human employees. Unlike traditional industrial robots that operate behind safety cages, cobots use sensors to detect nearby workers and adjust their movements accordingly. Cobots typically handle repetitive or physically demanding tasks, while human workers focus on tasks that require ②judgment and fine motor skills. This division of labor increases overall ③efficiency, since each side contributes what it does best. Manufacturers who have introduced cobots report ④more workplace injuries, largely because employees no longer perform exhausting repetitive motions all day. As the technology becomes more affordable, smaller companies are also beginning to ⑤adopt cobots.

When people fail to reach a goal, they often feel ①embarrassed and want to give up. However, the way a person thinks about failure can change what happens next. Some people believe failing means they simply lack ability, so they ②stop trying. Others see failure differently: they treat it as ③useless information that shows what needs to change. For example, a student who fails a math test might later ask the teacher which questions were weak points and study those areas more ④carefully. Over time, people who view failure as a lesson rather than a final judgment tend to keep working toward their goals, even after several ⑤setbacks.

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. This intuition rests on a basic misunderstanding of probability, since each flip of a fair coin remains entirely independent of every flip that came before it. 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. Economists have even documented the same error among trained professionals, including loan officers who grow more likely to approve a risky application simply because _______________.

The Hillside Community Center is looking for student volunteers to help with its summer programs. ___________. This opportunity is open to all middle and high school students who can commit at least four hours per week during July and August, and no prior experience is necessary since training will be provided.

Automation is transforming labor markets more quickly than economists predicted only a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable precision, and warehouses use automated systems to sort and deliver packages within a few hours. This shift does not simply eliminate jobs; it also creates roles that never existed before. Technicians who maintain robotic equipment are now in high demand, and engineers who design efficient automated systems are highly valued. Companies that invested early in automation often report ___________, since machines handle repetitive tasks while employees focus on creative problem-solving. This transition, however, also raises concerns about workers whose skills quickly become outdated. Policymakers argue that retraining programs are essential to help displaced workers move into emerging fields.

Jihun wanted to start stretching every day but kept forgetting no matter how many notes he left himself. (A) After a month, he no longer needed to think about it, because the smell of coffee alone reminded him to stretch. (B) He decided to try habit stacking by connecting the new habit to something he already did without fail each morning. (C) Since he never skipped making coffee before school, he began stretching for five minutes while the coffee machine ran.

Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. (A) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed much faster. (B) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. (C) A factory worker displaced this year, therefore, cannot simply wait for a new industry to emerge decades from now.