영어 모의고사 (자동 편성)

After an especially demanding training session, the instinct to collapse onto a couch and remain motionless is understandable, yet exercise physiologists increasingly ① recommend the opposite approach. Active recovery involves ② to perform low-intensity movement, such as a light jog, an easy swim, or a gentle bike ride, on days following intense exertion rather than resting completely. This gentle activity keeps blood circulating through tired muscles, which ③ appears to help clear metabolic byproducts that accumulate during hard exercise more efficiently than complete stillness does. Some athletes worry that any movement at all will interfere with the repair process, but research suggests that truly light activity ④ does not meaningfully slow healing and may even reduce the perceived soreness that follows a hard session. The key distinction lies entirely in intensity: active recovery is not a second workout in disguise but a deliberately gentle session ⑤ designed to support, rather than compete with, the body's underlying repair mechanisms.

Psychologist Roy Baumeister proposed a concept ①called ego depletion theory, which suggests that willpower functions like a muscle that gradually tires after repeated use. According to this theory, every act of self-control, from resisting a snack to concentrating on difficult homework, ②draws from the same limited mental resource. As this resource becomes depleted throughout the day, later decisions ③require more effort and are more likely to fail. For instance, someone who exercises discipline avoiding distractions all morning may struggle ④to resist checking a phone by evening. Likewise, dieters report that self-control weakens sharply at night, after hours of resisting food. Some researchers argue that short breaks, adequate sleep, and blood sugar levels can help restore this depleted resource. Although later studies have questioned how strong this effect is, the theory still ⑤offer a useful framework for understanding why willpower seems to fade throughout a long day.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists welcome 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 lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. Instead, it ___________, helping creators experiment faster while leaving final artistic decisions to humans.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results. Today, many of these apps rely on neural networks 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. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, so that _______________. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

Setting a goal such as 'I will study harder' rarely leads to meaningful improvement. According to psychologists Edwin Locke and Gary Latham, specific and challenging goals produce far better performance than vague or easy ones. This idea, known as goal-setting theory, suggests that ___________. To apply this theory effectively, many educators recommend the SMART framework, which requires goals to be Specific, Measurable, Achievable, Relevant, and Time-bound.

Habit researchers often note that people overestimate the role of motivation in daily routines. (A) As a result, they frequently give up soon after starting, blaming themselves for lacking discipline. (B) In contrast, Fogg's framework suggests that shrinking the task itself is more effective than boosting motivation. (C) Because motivation naturally rises and falls, relying on it alone often leads to inconsistent effort.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. (A) The system is not without drawbacks, however, since favoring titles similar to what a viewer already enjoys can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures. (B) Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users, then ranks thousands of titles in order of predicted interest. (C) 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 refining it.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. (A) This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. (B) The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. (C) What makes the system effective is that it keeps learning after launch, since a user's action of marking or rescuing a message becomes new training data.

주어진 문장: This influence is so strong that many companies actively encourage customers to leave feedback after each purchase. Before making a purchase, most online shoppers now read reviews written by previous customers rather than relying solely on advertisements. ( ① ) These reviews, posted by people who have no financial connection to the seller, often seem more trustworthy than promotional claims. ( ② ) Research shows that products with a large number of positive reviews sell significantly more than those with few or no reviews at all. ( ③ ) However, fake reviews written by paid writers or even automated programs have become a serious problem, undermining consumer trust. ( ④ ) Platforms that fail to detect these fraudulent posts risk losing credibility with their users. ( ⑤ ) Ultimately, the power of online reviews depends entirely on their perceived honesty.

A request as ordinary as asking for tomorrow's weather, for instance, triggers a surprisingly long chain of computation behind the scenes. Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. ( ① ) 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. ( ② ) Because these assistants improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. ( ③ ) Still, the technology remains far from perfect. ( ④ ) Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with amusing results. ( ⑤ ) Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest goals in the entire field of artificial intelligence.