영어 모의고사 (자동 편성)

Jian wanted to become a reader for years, but every time he picked up a thick novel, he felt overwhelmed and quickly ①close it. His cousin, who had read dozens of books that year, told him about something called the two-minute rule. This rule states that a new habit should be ②shrunk to under two minutes, since a smaller starting point removes the friction that usually stops people from beginning. Instead of ③committing to a full chapter each night, Jian promised himself only to open a book and read one page. Some nights he stopped after that single page, but most nights, once ④started, he kept reading for twenty or thirty minutes without noticing. Within three months, Jian had finished five books, ⑤proving that reducing friction can matter more than motivation itself.

The ancient puzzle known as the ship of Theseus asks a deceptively simple question. If every plank of a wooden ship ①is replaced one by one over many years, is the vessel that eventually results still the same ship it once was? Most people's first instinct is to answer yes, since each individual replacement seems too small to ②erasing the ship's identity. The puzzle grows far sharper, however, once a second twist is introduced. Suppose a careful collector gathered every discarded plank and reassembled them into a second vessel, ③built exactly as the original once stood. Two ships would then exist side by side, each with an equal claim ④to being the genuine one, and no obvious way to decide between them. Philosophers return to this old story again and again, not because they care about timber, but because it forces us to ask whether identity depends on continuous material, continuous form, or some deeper thread that neither one can fully ⑤explain.

Rather than replacing human creativity outright, many artists, writers, and filmmakers have begun ①treating AI tools as an unusual kind of collaborator, one that generates dozens of rough options in the time it would take a person to sketch just one. A novelist might ask an AI model for ten possible opening lines and then discard nine, ②keeping only the phrase that sparks an idea worth developing further. A film composer might use an AI system to generate a rough melody, then ③rework it entirely by hand until it fits the emotional tone of a specific scene. What makes this collaboration work, according to many creators, is that the human remains firmly in charge of judgment and taste, ④using the AI's output as raw material rather than a finished product. Critics counter that this framing can understate the risk, since even a first draft ultimately ⑤shape everything that follows it.

A smart thermostat that learns a family's daily rhythm can lower the temperature automatically before everyone wakes up cold, while smart lights ①that follow a resident's schedule no longer need to be switched on and off by hand. These small conveniences rest on a shared foundation: sensors collect data about temperature, motion, and light throughout the home, and an algorithm gradually learns ②which settings match each household's actual habits rather than a factory default. Over months of use, the system becomes noticeably better at ③anticipate needs, often adjusting settings moments before a resident would have reached for a switch. Yet convenience comes with a trade-off that many households ④overlook. Every one of these small adjustments depends on constant data collection, meaning that a detailed record of when people wake, leave, and return home is quietly ⑤being stored somewhere beyond their immediate control.

The job market has changed dramatically over the past few decades. Many tasks once done entirely by humans are now shared with machines and computer programs. As a result, some traditional jobs have slowly ①appeared, while entirely new positions have emerged to replace them. Workers who once relied on a single skill for their whole career now often need to learn new tools. A graphic designer today must ②understand digital software that did not exist twenty years ago. Adapting to these changes can feel ③stressful, but experts note that workers who stay flexible and keep learning tend to ④succeed regardless of which industry they choose. The ability to adapt may be more valuable than any single specific ⑤skill.

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. During non-REM sleep, especially its deepest stage, the brain waves ①slow down dramatically, the body temperature drops, and tissue repair and growth hormone release reach their peak. This is the period most closely associated with physical ②restoration. REM sleep, by contrast, brings rapid eye movements, near-total muscle paralysis, and brain activity that closely resembles wakefulness. Most vivid dreaming occurs during this stage, and researchers believe it plays a central role in ③ignoring memories and processing emotional experiences. A healthy night typically cycles through both stages four or five times, with non-REM dominating the early hours and REM periods ④lengthening toward morning. Disrupting either stage, through frequent awakenings or alcohol use, can leave a person feeling ⑤unrested even after a full night in bed.

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. What began as a playful novelty has become a default setting for many users, subtly adjusting nearly every selfie posted online. Psychologists have grown concerned about a specific consequence of this shift: _______________. Some social media platforms have responded by labeling heavily edited photos or banning certain filters that alter body shape.

School clubs sometimes influence students' career choices more than any single class does. (A) As a result, some students discover a career direction they had never seriously considered before. (B) For example, a student in a broadcasting club might learn scriptwriting, filming, and editing all at once. (C) These hands-on skills often feel more real than anything learned from a textbook.

Before a single line of dialogue is written for many animated shows, a character designer has already spent weeks deciding how that character should look, move, and be recognized at a glance. (A) Small choices, she added, carry surprising weight: rounded shapes tend to feel friendly and safe, while sharp angles suggest danger or power, even to viewers who have never studied design. (B) A visiting illustrator who spoke at our school explained that a truly successful design should be identifiable even as a plain black silhouette, since audiences often notice a character's outline before they notice any facial detail. (C) She showed us early sketches of a now-famous cartoon hero, in which the same personality had been tested through dozens of different body shapes, from short and round to tall and angular, before the final version was chosen.

Because the keyboard nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly narrowing everyday vocabulary. Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun guessing what word comes next. ( ① ) This feature relies on a language model trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, saving users countless keystrokes over the course of a day. ( ② ) The system also adapts to each individual, gradually learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would recognize. ( ③ ) This constant personalization, however, creates a subtle side effect that few users notice. ( ④ ) This small habit, choosing a convenient suggestion rather than searching for the more precise or original word one might otherwise have chosen, can add up over years of daily use. ( ⑤ )