영어 모의고사 (자동 편성)

Smart speakers have quietly become a fixture in many households, ①responding to spoken requests for weather updates, music, or kitchen timers. Behind this simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. Because these assistants improve by ②learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, the technology remains far from perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant ③misunderstanding a simple request, sometimes with amusing results. Engineers continue to refine these systems, but many admit that truly natural conversation, the kind ④that flows without repeated commands or awkward pauses, ⑤remains one of the hardest goals in the entire field of artificial intelligence.

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.

Many teenagers check their social media accounts dozens of times a day, worried that they might miss something ①important happening among their friends. This anxiety, known as FOMO, or the fear of missing out, arises when people believe that others are enjoying experiences from which they themselves are excluded. For example, a student scrolling through photos of a party she was not invited to may suddenly feel a wave of ②loneliness and regret, even though the event has already ended. Constantly refreshing feeds to avoid missing such updates, however, makes it difficult to concentrate on schoolwork or conversations happening in the present moment. Moreover, this endless comparison with curated highlights of other people's lives tends to ③deepen feelings of anxiety rather than ④worsen them. Therefore, students should learn to ⑤limit their social media use and focus more attention on the relationships and activities directly in front of them.

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. As a student answers practice questions, the app ①tracks which concepts are mastered and which remain shaky, then quietly reshuffles the next set of problems to target the weaker areas. Early studies suggest that this ②personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. However, critics ③caution that an app cannot replace the encouragement, humor, and flexibility a human teacher brings to a lesson, especially when a student is frustrated rather than simply behind. There is also a subtler concern: students who grow used to ④instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically provide, which could ⑤strengthen their ability to handle uncertainty outside the app.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. Instead, a recommendation algorithm ①compares that viewer's habits with patterns drawn from millions of other users who watched similar content, then ranks thousands of titles in order of predicted interest. This approach keeps viewers ②disengaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it. The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly ③narrow someone's exposure to unfamiliar genres, directors, or cultures, creating a comfortable but repetitive bubble. Some platforms have begun inserting occasional wildcard suggestions, deliberately unrelated to past viewing habits, in an attempt to ④counteract this narrowing effect and keep recommendations from becoming too ⑤predictable.

Smartphones, tablets, and computer screens all emit a significant amount of blue light, a short-wavelength light that our eyes are especially sensitive to. During the day, exposure to blue light from the sun helps keep us ①drowsy and mentally sharp, which is generally beneficial. At night, however, the same wavelength can interfere with the body's natural preparation for sleep. Specialized cells in the retina detect blue light and send signals to the brain's internal clock, ②suppressing the release of melatonin, the hormone that signals it is time to rest. Studies have found that people who scroll through their phones in bed before sleeping take longer to fall asleep and experience ③lighter, more easily disrupted sleep than those who avoid screens. Some devices now offer a night mode that shifts the display toward ④warmer tones, reducing blue light output in the evening. While this feature may help slightly, sleep researchers generally recommend limiting screen use altogether in the hour before bedtime for the best ⑤results.

When the body fights off an infection, the immune system relies heavily on adequate sleep to function ①effectively. During deep sleep, the body produces and releases cytokines, proteins that help ②regulate immune responses and coordinate the fight against harmful invaders. People who consistently sleep fewer than six hours a night show measurably ③weaker antibody responses after vaccination compared with those who sleep seven or eight hours. Chronic sleep deprivation also appears to ④reduce low-grade inflammation throughout the body, a state that has been linked to a higher risk of heart disease. Rather than being a passive state, sleep functions as an active period during which the immune system repairs itself and ⑤prepares for future threats.

The term green premium describes the ①reduced cost that consumers must pay when they choose an environmentally friendly product or energy source over a conventional, cheaper alternative. For example, an electric vehicle or solar-powered appliance often carries a higher price tag than its gasoline-powered or coal-based counterpart, even though it produces fewer emissions over time. This price gap frequently ②discourages shoppers who support sustainability in principle but cannot justify the additional expense within a limited household budget. In contrast, wealthier consumers can ③absorb the premium more easily, which creates unequal participation in green markets. To ④narrow this gap, governments have introduced subsidies and tax credits that lower upfront costs, while companies invest in research to make clean technologies cheaper to manufacture. As production scales up and innovation continues, many economists expect the green premium to ⑤shrink steadily, eventually making sustainable choices the more affordable option for most consumers.

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 without requiring a single visit to a doctor's office. (A) Doctors caution, however, that these apps are designed to detect patterns, not to diagnose illness, and that a worried user should always confirm any alarming reading with a professional. (B) For people living far from specialists or unable to afford frequent checkups, this kind of constant monitoring can feel like a genuine safety net. (C) 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 notices anything unusual.

Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. ( ① ) This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably detailed profile of individual taste. ( ② ) Listeners often praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. ( ③ ) A song that the algorithm decides not to promote may struggle to reach listeners no matter how well it was written. ( ④ ) This means that an artist's success can depend as much on pleasing an algorithm as on pleasing an actual audience. ( ⑤ )