영어 모의고사 (자동 편성)

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. Today, many of these apps rely on neural networks ①that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. Frequent travelers now point their phone cameras at street signs and ②receiving an instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas ③where a single wrong word can completely change the intended meaning. A joke that depends on wordplay in one language may become confusing once it ④is translated literally into another. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result that no human ⑤needs to review.

Social psychologists describe a phenomenon called the bystander effect, in which individuals become less likely to help a victim as the number of witnesses ①increases. Each observer assumes someone else will step in, and this diffusion of responsibility leaves no one willing to act. Cyberbullying ②minimizes this problem, since a single humiliating post can be witnessed by thousands of people scattered across the internet rather than a few standing nearby. Anonymity ③intensifies the effect further, allowing silent observers to scroll past cruel comments without feeling accountable for their inaction. Some bystanders even worry that intervening publicly might make them the bully's next target, so they choose to remain ④silent instead. However, silence signals approval to both the bully and the audience watching the exchange unfold. Experts insist that even a single supportive comment can ⑤disrupt this harmful pattern.

Setting a goal such as 'I will study harder' rarely leads to ①meaningful improvement. According to psychologists Edwin Locke and Gary Latham, ②specific and challenging goals produce far better performance than vague or easy ones. This idea, known as goal-setting theory, suggests that ③clear targets direct attention and sustain effort over time. To apply this theory effectively, many educators recommend the SMART framework, which requires goals to be Specific, Measurable, Achievable, Relevant, and Time-bound. For instance, a student following this framework might say, 'I will memorize thirty new words every week for two months.' Because the goal includes a clear number and a deadline, progress becomes easy to ④track and evaluate. Challenging goals also tend to increase motivation, since people often work harder when a target feels meaningfully ⑤easy rather than trivially simple.

A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns for that time of day, and even data from other drivers' phones currently on the road. This flood of information allows the app to ①reroute a driver away from a sudden accident within seconds, often before the driver has any idea the accident occurred at all. The convenience comes at a ②cost that few passengers consider, however. When thousands of drivers are simultaneously redirected onto the same shortcut, that quiet side street can quickly become as ③congested as the highway it was meant to help travelers avoid. Residents of these once-quiet neighborhoods have increasingly ④complained about the sudden surge of unfamiliar traffic, arguing that an algorithm optimizing for individual convenience can end up ⑤solving a new, entirely different problem for the wider community.

Planning a multi-city trip once meant hours spent comparing flight schedules, reading hotel reviews, and mapping out which sights were close enough to visit in a single day. AI travel planners now ①compress much of that work into a short conversation, asking about a budget, a travel style, and a handful of preferences before generating a full day-by-day itinerary within minutes. The tool draws on enormous amounts of data to suggest a route that avoids obvious ②scheduling conflicts. Many travelers appreciate having a solid starting point rather than a ③blank page. Still, seasoned travelers warn that these itineraries can feel oddly ④unique, often steering users toward the same popular landmarks that every other AI-generated plan recommends, while ⑤overlooking smaller, lesser-known places that a knowledgeable local guide might have suggested instead.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions with ①impressive accuracy. However, most researchers argue that AI still ②struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, for instance, but it can ③easily comfort a frightened patient the way a compassionate nurse can. Similarly, AI can generate countless design variations, yet it ④lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration and emotional intelligence, arguing that these human capabilities will become more ⑤valuable as automation spreads.

A growing number of health apps now track steps, sleep, and heart rate throughout the day, quietly building a detailed picture of a user's physical condition. By comparing this stream of data against patterns drawn from millions of other users, the app's algorithm can flag early warning signs, such as an irregular heartbeat, long before the person experiencing it would have noticed anything unusual. Doctors caution, however, that these apps are designed to detect patterns, not to diagnose illness, and that _______________.

Imagine a cafeteria where a healthy salad sits at eye level while fried snacks rest on a low shelf. Nobody is forbidden from choosing the snacks, yet most people quietly pick the salad instead. This simple technique illustrates a nudge, a concept from behavioral economics _______________. Companies and governments increasingly apply nudges to encourage sustainable consumption. For example, some hotels print reminders on towels stating that most guests reuse them, which persuades new guests to do the same and save water. Similarly, energy bills that compare a household's usage with that of efficient neighbors often lead people to reduce electricity use. Unlike strict regulations or heavy taxes, nudges rely on subtle changes in design rather than force. Critics argue nudges alone cannot solve large environmental problems, but combined with stronger policies, they can meaningfully shift everyday habits toward sustainability.

주어진 문장: She almost forgot about it by the next week, assuming the habit would not last long. Until last spring, Minji rarely thought twice about tossing a paper cup into the trash after finishing her coffee. ( ① ) Environmental issues seemed distant, something scientists and politicians should handle rather than an ordinary student like her. ( ② ) That changed when her class was assigned a documentary about plastic waste drifting through the ocean, footage she initially expected to find boring. Instead, watching seabirds mistake plastic fragments for food left her strangely unsettled, and she found herself thinking about the assignment long after class ended. ( ③ ) The next morning, almost without deciding to, she slipped her old tumbler into her backpack instead of buying a disposable cup on the way to school. ( ④ ) It felt like a small, meaningless gesture at first. ( ⑤ ) However, as weeks passed, she realized that consistently choosing the tumbler, declining a plastic straw, and reusing a shopping bag were quietly adding up. Small choices, she discovered, become meaningful once repeated.

Amateur athletes often credit this kind of guidance with helping them train more consistently without pushing their bodies too hard. A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data to suggest a training plan tailored to the individual rather than a generic weekly schedule. ( ① ) When the device detects signs of overtraining, such as an unusually high resting heart rate several mornings in a row, it may recommend a lighter workout or an extra rest day before fatigue turns into an actual injury. ( ② ) Sports scientists note an important caveat, however. ( ③ ) A wrist-based sensor cannot fully capture the same physiological detail available in a professional lab. ( ④ ) Its suggestions should be treated as a helpful guideline rather than an infallible medical judgment, particularly for anyone managing a chronic health condition. ( ⑤ )