영어 모의고사 (자동 편성)

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 ①currently on the road. This flood of information allows the app ②to reroute a driver away from a sudden accident within seconds, often before the driver has any idea the accident ③occurring at all. The convenience comes at a cost that few passengers consider, however. When thousands of drivers are simultaneously ④redirected onto the same shortcut, that quiet side street can quickly become as congested as the highway it was meant to help travelers avoid. Residents of these once-quiet neighborhoods have increasingly complained about the sudden surge of unfamiliar traffic, ⑤arguing that an algorithm optimizing for individual convenience can end up creating a new problem.

Wearable devices ①that track sleep have become enormously popular, promising a detailed breakdown of light, deep, and REM sleep each night. These gadgets typically rely on movement sensors and heart rate monitors ②to estimate sleep stages, since directly measuring brain activity would require equipment found only in a sleep laboratory. Independent studies ③compares wearable data with polysomnography, the gold-standard method used in clinical sleep labs, have found that consumer devices are reasonably accurate at distinguishing sleep from wakefulness but considerably less reliable at identifying specific sleep stages. Some trackers overestimate deep sleep, while others ④underestimate the amount of time spent in REM sleep, and the margin of error can vary widely between brands. Despite these limitations, many users have come ⑤to treat the nightly score generated by their device as an objective medical verdict, sometimes experiencing anxiety when the number falls below what they expect, a phenomenon researchers have begun calling orthosomnia.

An echo chamber refers to an online environment where people are mainly ①exposed to opinions that already match their own beliefs. This phenomenon occurs because social media algorithms tend to ②recommending content similar to what users have previously liked or shared, gradually narrowing the range of perspectives they encounter. As a result, individuals inside an echo chamber rarely engage with viewpoints ③that challenge their existing assumptions, which allows their original beliefs to grow increasingly extreme over time. For example, someone who frequently reads articles supporting one political party may begin to see the opposing party as entirely unreasonable, ④having never seriously considered its arguments. Political polarization, a significant issue in many countries today, is often ⑤linked to this pattern of selective exposure.

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, identifying everything from a landmark in the background to the exact model of a pair of sneakers. Shoppers use it to find where an item seen on the street can be purchased, while students use it to ①identify plants, insects, or historical artworks in seconds. The system works by breaking an image down into countless small features, such as edges, colors, and shapes, then matching that pattern against millions of stored examples. It is ②flawless, however; a ③blurry photo, an unusual camera angle, or an object partly hidden behind another can easily ④confuse the algorithm, leading to search results that have ⑤nothing to do with the original picture at all.

Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. This theory explains that every habit begins with a cue, a signal that tells the brain to start an automatic behavior. The brain then performs a routine, which is the action itself, whether physical or mental. Finally, the brain receives a reward, a positive feeling that makes it want to repeat the same behavior. For example, a notification sound can act as a cue that leads a student to check a phone, and the relief from boredom becomes the reward. Similarly, opening a refrigerator out of habit rather than hunger shows how a routine can run without conscious thought. Because this loop operates automatically, breaking a bad habit requires ___________. Understanding this structure helps people redesign daily patterns more effectively than relying on willpower alone.

Temporal discounting offers a useful lens for understanding why long-term goals so often lose out to short-term pleasures. (A) Consequently, replacing distant, abstract goals with smaller, immediate milestones can make future rewards feel psychologically closer and more motivating. (B) Research shows that people consistently prefer a smaller reward available today over a considerably larger reward promised weeks later. (C) This preference persists even when the delayed reward is clearly the more rational choice, revealing how strongly immediacy influences decision-making.

Irving Janis, a psychologist, used the term groupthink to describe how close-knit groups sometimes make poor decisions together. (A) Trusting this shared confidence, the group moved forward without pausing to consider whether the shortcut might cause problems later. (B) In one online study group, for example, a suggestion to skip an important step was accepted almost instantly, with no one voicing concerns. (C) Only after their project was criticized for missing key information did the members recognize how strongly the group's harmony had silenced doubt.

주어진 문장: Every choice, from filters to captions, is carefully calculated to create a favorable impression on viewers. Sociologist Erving Goffman argued that people constantly perform for others, much like actors managing their image on a stage, a concept known as impression management. ( ① ) This idea applies vividly to social media, where users select flattering photos and delete posts that might damage their reputation. ( ② ) Such careful curation allows people to present an idealized version of themselves that emphasizes achievements while hiding struggles or ordinary moments. ( ③ ) However, when this performance becomes constant, a troubling gap can form between one's authentic self and the polished character displayed online. ( ④ ) Maintaining that gap requires considerable emotional energy, and studies suggest it often leads to anxiety and exhaustion. ( ⑤ ) Furthermore, comparing one's own carefully staged life to others' equally staged posts can distort what people believe is normal. Therefore, individuals should recognize that some self-presentation online is inevitable, but they must also protect space where imperfection is allowed to remain visible.

This is precisely what makes the condition so difficult to catch before it becomes severe. Ambitious young athletes and the parents who support them sometimes assume that more training automatically produces better results, a belief that occasionally leads to a condition known as overtraining syndrome. ( ① ) Unlike ordinary fatigue that resolves after a few days of rest, overtraining syndrome develops gradually over weeks or months of insufficient recovery relative to training load, eventually producing persistent exhaustion, declining performance despite continued hard work, and increased susceptibility to illness and injury. ( ② ) Adolescents may be especially vulnerable, since their bodies are simultaneously coping with the physical demands of growth and the added stress of intensive training schedules. ( ③ ) Warning signs are often subtle at first, including disrupted sleep, irritability, and a loss of enthusiasm for a sport the athlete once genuinely enjoyed, which adults often mistake for ordinary moodiness. ( ④ ) Recovery from full-blown overtraining syndrome can take months rather than days. ( ⑤ )

Some researchers worry that casual users may misinterpret a single unusual reading as a serious problem, leading to needless anxiety rather than useful insight. Modern sports wearables, from wrist-worn fitness trackers to smart insoles embedded in running shoes, continuously collect data that would once have required a laboratory to measure. ( ① ) Heart rate, sleep quality, running cadence, and even subtle changes in gait can now be monitored during ordinary daily activity rather than only in a controlled clinical setting. ( ② ) Coaches use this constant stream of information to detect early warning signs of overtraining, sometimes noticing a decline in performance before the athlete consciously feels tired. ( ③ ) However, the flood of data has created a new challenge: distinguishing a meaningful pattern from ordinary daily fluctuation requires expertise that many amateur athletes simply do not have. ( ④ ) For this reason, most experts recommend treating wearable data as a general trend to observe over time, not as a precise diagnostic tool. ( ⑤ )