영어 모의고사 (자동 편성)

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills ①remains valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions ②with impressive accuracy. However, most researchers argue that AI still struggles with tasks ③requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, but it cannot comfort a frightened patient the way a compassionate nurse ④can. For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence, ⑤arguing that these human capabilities will become more valuable.

A small riverside village had endured severe flooding almost every summer, ①watching helplessly as rising water damaged homes and destroyed crops year after year. Frustrated residents eventually decided to pursue climate adaptation, ②adjusted their infrastructure and habits to reduce the damage caused by increasingly unpredictable weather. Engineers widened the drainage canals surrounding the village, ③allowing excess rainwater to flow away more efficiently instead of pooling in low-lying streets. Meanwhile, several families ④whose houses stood in the most vulnerable areas relocated to higher ground, even though leaving their long-time homes was emotionally difficult. The village also installed an early warning system that sent alerts to residents' phones whenever river levels rose dangerously fast. When a powerful storm struck three years later, the new measures proved effective, and the village suffered only minor damage instead of the devastating losses it had previously faced. ⑤Their resilience became a model for neighboring communities.

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.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists ①welcome 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 ②lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully ③replace artists anytime soon. Instead, it functions best as a collaborative tool, helping creators experiment ④faster while leaving final artistic decisions to humans. Therefore, artists who learn to work alongside AI may find themselves with a distinct ⑤disadvantage in this rapidly changing industry.

As millions of people now earn income through delivery apps and ride-hailing platforms, questions about their legal status have become increasingly ①urgent. Most platform workers are classified as independent contractors rather than employees, which means they lack access to minimum wage guarantees, paid sick leave, and unemployment insurance. Companies ②oppose this arrangement because it allows them to avoid the costs associated with hiring full employees. Worker advocates argue that many platform workers ③depend on these jobs as their primary source of income, much like traditional employees do. Several countries have recently begun ④reconsidering their labor laws, proposing new categories that would grant platform workers some employee-like protections. Supporters of these reforms believe fair treatment and flexibility can ⑤coexist within the same system.

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

Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. This theory explains that every habit begins with a cue, a signal that tells the brain to start an automatic behavior. The brain then performs a routine, which is the action itself, whether physical or mental. Finally, the brain receives a reward, a positive feeling that makes it want to repeat the same behavior. For example, a notification sound can act as a cue that leads a student to check a phone, and the relief from boredom becomes the reward. Similarly, opening a refrigerator out of habit rather than hunger shows how a routine can run without conscious thought. Because this loop operates automatically, breaking a bad habit requires ___________. Understanding this structure helps people redesign daily patterns more effectively than relying on willpower alone.

Many economists have studied how automation affects different sectors of the economy, and their research reveals a consistent pattern. (A) For example, manufacturing plants that adopted robotics saw production speed double within five years, while the number of routine assembly jobs fell sharply. (B) As a result, workers today are encouraged to develop skills that complement machines rather than compete with them, such as creativity and critical thinking. (C) At first, automation mainly affected repetitive manual tasks in manufacturing, but it has since spread into administrative and even creative fields.

Ambitious young athletes and the parents who support them sometimes assume that more training automatically produces better results, a belief that occasionally leads to a condition known as overtraining syndrome. (A) Warning signs are often subtle at first, including disrupted sleep, irritability, and a loss of enthusiasm for a sport the athlete once genuinely enjoyed, which adults often mistake for ordinary moodiness. (B) Unlike ordinary fatigue that resolves after a few days of rest, overtraining syndrome develops gradually over weeks or months of insufficient recovery, eventually producing persistent exhaustion and declining performance despite continued hard work. (C) Adolescents may be especially vulnerable to this condition, since their bodies are simultaneously coping with the physical demands of growth and the added stress of intensive training schedules.

주어진 문장: This kind of accuracy might seem convenient at first, but it also raises troubling questions about surveillance. Online advertising algorithms analyze enormous amounts of user data to determine which products a person is most likely to purchase. ( ① ) Every click, search, and pause while scrolling provides information that these systems use to refine future advertisements. ( ② ) As a result, the ads that appear on a person's screen often feel remarkably specific, sometimes referencing items browsed only minutes earlier. ( ③ ) Supporters argue that this level of precision benefits consumers by reducing exposure to irrelevant advertisements and highlighting products they genuinely need. ( ④ ) Critics, however, worry that constant exposure to tailored ads can encourage unnecessary spending, since algorithms are specifically designed to identify and exploit individual weaknesses. ( ⑤ ) Because these algorithms operate largely without public oversight, few consumers fully understand how their personal data shapes what they eventually buy.