영어 모의고사 (자동 편성)

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

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 ① that 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 ② receiving an instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas ③ where a single wrong word can completely change the intended meaning. A joke that depends on wordplay in one language may become confusing once it ④ is 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 ⑤ needs to review.

Highlighting an awkward sentence and instantly seeing three smoother alternatives has become a routine part of writing for many students, thanks to AI writing assistants ① built into word processors and browsers. These tools check grammar and spelling, of course, but the more advanced versions go further, ② suggesting clearer phrasing, flagging repetitive words, and even adjusting tone to sound more formal or more casual depending on the purpose. Teachers generally welcome the grammar and spelling support, since it ③ frees up class time to focus on argument and structure rather than comma placement. Concerns grow, however, around the tone and phrasing suggestions, which can gradually ④ nudge every student's writing toward a similar, polished style. Some schools have begun asking students ⑤ submit an early draft alongside the final version, specifically to preserve evidence of a student's own original voice.

To ①compensate for their carbon emissions, many individuals and companies now purchase carbon offsets, financial credits that fund projects such as planting trees or building renewable energy plants. The idea is ②unappealing: paying for an equivalent amount of carbon to be absorbed elsewhere should cancel out the harm caused by activities like flying. However, critics argue that this system often functions as a convenient excuse for postponing ③genuine emission cuts rather than achieving them. For example, a newly planted forest may take decades to absorb the promised carbon, and it could later burn down or be cut, erasing any benefit. Moreover, some offset projects would have happened anyway, meaning the credits fund nothing truly ④additional. Experts insist that offsetting should complement, not replace, direct reductions in fossil fuel use if the strategy is to remain ⑤credible.

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 ① tracks 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 ② personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. However, critics ③ caution 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 ④ instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically provide, which could ⑤ strengthen their ability to handle uncertainty outside the app.

Aerobic exercise strengthens the heart by forcing it to pump larger volumes of blood with each beat. Over weeks of consistent training, the heart gradually enlarges and becomes more efficient, meaning it can deliver the same amount of oxygen to working muscles while beating fewer times per minute. This adaptation explains why _______________. Beyond the heart itself, aerobic activity also builds new capillaries within muscle tissue and improves how cells throughout the body respond to insulin.

Imagine two factories making the same product: one in a country with strict carbon rules, and one in a country with almost none. (A) However, critics claim it unfairly burdens developing countries, which often lack money to modernize factories quickly. For example, a small exporter in a poorer nation might struggle to pay the added charge, though it contributes little to global emissions. Still, if wealthier nations pair the policy with technical support, it could become a genuinely fair tool for cutting emissions worldwide. (B) Supporters argue that the system protects domestic industries and pushes foreign manufacturers toward cleaner methods. (C) The factory facing stricter rules often spends more, which can make its goods pricier than those made elsewhere. To fix this imbalance, some governments have introduced the carbon border adjustment mechanism, a policy charging imported goods a fee based on how much carbon was released while producing them.

In other words, the two stages appear to serve complementary purposes, one restoring the body and the other restoring the mind. Sleep is not a single, uniform state but a cycle that alternates between two very different modes: REM (rapid eye movement) sleep and non-REM sleep. ( ① ) During non-REM sleep, especially its deepest stage, the brain waves slow down dramatically, the body temperature drops, and tissue repair and growth hormone release reach their peak. ( ② ) This is the period most closely associated with physical restoration. ( ③ ) REM sleep, by contrast, brings rapid eye movements, near-total muscle paralysis, and brain activity that closely resembles wakefulness. ( ④ ) Most vivid dreaming occurs during this stage, and researchers believe it plays a central role in consolidating memories and processing emotional experiences. ( ⑤ ) A healthy night typically cycles through both stages four or five times, with non-REM dominating the early hours and REM periods lengthening toward morning. Disrupting either stage, through frequent awakenings or alcohol use, can leave a person feeling unrested even after a full night in bed.

This happens because the eyes remain remarkably responsive to light even after darkness falls, cueing the brain that it is still daytime. Smartphones, tablets, and computer screens all emit a significant amount of blue light, a short-wavelength light that our eyes are especially sensitive to. ( ① ) During the day, exposure to blue light from the sun helps keep us alert and mentally sharp, which is generally beneficial. ( ② ) At night, however, the same wavelength can interfere with the body's natural preparation for sleep. ( ③ ) Specialized cells in the retina detect blue light and send signals to the brain's internal clock, suppressing the release of melatonin, the hormone that signals it is time to rest. ( ④ ) Studies have found that people who scroll through their phones in bed before sleeping take longer to fall asleep and experience lighter, more easily disrupted sleep than those who avoid screens. ( ⑤ ) Some devices now offer a night mode that shifts the display toward warmer 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 results.

That advantage in volume, however, says nothing about the quality of each individual reply. When a customer opens a company's website at midnight with a billing question, an actual employee is unlikely to be available, which is exactly the gap that customer service chatbots were built to fill. ( ① ) These programs can instantly answer common questions, track packages, and process simple refunds without making anyone wait on hold. ( ② ) Companies value them because a single chatbot can handle thousands of conversations simultaneously, something no call center could ever match. ( ③ ) Yet the technology has clear boundaries. When a customer's problem is unusual, emotionally charged, or simply does not fit the chatbot's script, the automated replies can feel frustratingly circular, repeating the same suggestion no matter how the question is rephrased. ( ④ ) Many companies have responded by designing chatbots to recognize their own limits, automatically transferring a frustrated customer to a human agent before the conversation turns into a source of complaint rather than a solution. ( ⑤ )