영어 모의고사 (자동 편성)

Opening most camera apps today reveals a row of filters that can smooth skin, brighten eyes, and reshape a jawline before a photo is even taken, all powered by AI models ① trained to recognize facial features in real time. What began as a playful novelty has become a default setting for many users, subtly ② adjusting nearly every selfie posted online. Psychologists have grown concerned about a specific consequence of this shift: people increasingly compare their unfiltered reflection in a mirror to a filtered version of themselves ③ seeing constantly on a screen, a comparison that earlier generations never had to face. Some social media platforms have responded by ④ labeling heavily edited photos or banning certain filters that alter body shape. Whether such small warnings can meaningfully counter the daily flood of filtered images, however, ⑤ remains an open question that researchers are only beginning to study.

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.

Having grown up with smartphones and social media, they research products ①extensively online before making even small purchases. Unlike older generations, who often valued brand loyalty above all else, many members of Generation Z ②prioritize a company's values, switching brands easily if one no longer matches their beliefs. They also tend to ③favor secondhand and resale platforms, viewing sustainability as an important factor. Peer recommendations shared through short videos frequently carry ④less weight than traditional celebrity endorsements, since viewers see these creators as relatable rather than distant figures. Businesses that fail to adapt to these preferences risk losing an entire generation of potential customers, so many companies now invest in ⑤authentic engagement.

Companies that ignore these concerns risk public backlash, especially when unethical practices are ①exposed through investigative journalism or social media. Real accountability, according to many experts, requires independent verification rather than self-reported claims that ②can be easily checked. Consumers, for their part, must also remain ③vigilant, since a company's marketing language does not always match its actual practices. When ethical claims are verified and accurate, however, they can build meaningful ④trust between a brand and its customers. Ultimately, corporate responsibility should be treated as an ⑤ongoing commitment rather than a marketing strategy.

Many people struggling to fall asleep in noisy environments turn to white noise machines, devices that emit a ① chaotic, uniform sound covering a broad range of frequencies. The appeal lies in a phenomenon called auditory masking, in which a constant background sound makes sudden noises, such as a slamming door, ② less noticeable to the sleeping brain. Without this masking effect, an abrupt change in sound is far more likely to trigger a brief awakening, even if the sleeper does not ③ consciously remember it the next morning. Studies comparing sleep in quiet rooms with sleep alongside white noise have found that participants using white noise experienced fewer of these brief awakenings and reported feeling more ④ rested. However, researchers caution that the benefit depends heavily on volume and consistency, since noise that is too loud or that varies unpredictably can itself become a source of ⑤ disruption rather than a remedy.

Automation is transforming labor markets more ①quickly than economists predicted a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable ②precision. This shift does not simply eliminate jobs; it also creates roles that never existed before, so technicians who maintain robotic equipment are now in high ③demand. Companies that invested early in automation often report steady increases in productivity, since machines handle repetitive tasks while employees focus on ④creative problem-solving. Without proper retraining support, the benefits of automation may not be shared fairly, ⑤narrowing inequality between skilled and unskilled labor.

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.

Color plays a surprisingly powerful role in how consumers perceive brands, often shaping first impressions before a single word is read. Blue, for instance, is frequently used by financial and technology companies because it tends to evoke feelings of trust and stability. Red, in contrast, is associated with energy and urgency, which explains why it appears so often in logos for fast-food chains and clearance sales. Green typically signals freshness or environmental responsibility, making it a popular choice for organic food brands. Despite these general patterns, ___________. Marketers who ignore these cultural differences risk sending unintended messages to international audiences. For this reason, companies expanding into new markets often conduct extensive research before finalizing a logo's color scheme.

The rise of big data has introduced ethical dilemmas that earlier generations of workers never had to consider. (A) Some believe that strict government regulations are necessary, even if such rules slow down innovation and raise costs for businesses. (B) Others argue that companies can regulate themselves effectively through clear ethical training, without needing heavy-handed government intervention. (C) A single careless decision, after all, can expose the private information of millions of people almost instantly.

주어진 문장: Without such improvements, even the most generous rewards program cannot compensate for a disappointing product. Building brand loyalty has traditionally been considered one of the most valuable goals in marketing, since loyal customers tend to spend more and recommend products to others. ( ① ) Companies invest significant resources in loyalty programs, offering points, discounts, and exclusive access to encourage repeat purchases. ( ② ) However, some critics argue that these programs manipulate consumers into staying with a brand out of habit rather than genuine satisfaction. ( ③ ) Genuine loyalty, they contend, should be earned through consistent quality and honest treatment of customers. ( ④ ) Furthermore, excessive focus on retaining existing customers can cause companies to neglect innovation, since they assume loyal buyers will continue purchasing regardless of improvements. ( ⑤ ) As markets become more competitive, relying solely on loyalty programs without addressing underlying product quality may ultimately backfire.