영어 모의고사 (자동 편성)

Self-driving technology is advancing rapidly, and its impact on the transportation industry ①is becoming increasingly visible. Companies are testing autonomous trucks ②that can travel long distances without human drivers, potentially transforming how goods move across countries. Millions of professional drivers worry about ③lose their jobs as automation spreads through the industry. Experts predict that certain driving jobs, particularly long-distance trucking, may ④shrink significantly within the next two decades. New roles are also emerging, including remote vehicle operators who monitor fleets of autonomous trucks and technicians ⑤who maintain the complex sensors these vehicles depend on.

Anyone who has ridden a bicycle after a decade away from one has likely ① experiencing muscle memory firsthand: the body seems to recall a complex skill almost instantly, even when conscious memory of the exact movements has faded. Contrary to what the name suggests, muscles themselves do not actually store memories; the phenomenon originates in the brain and nervous system, where repeated practice gradually ② shifts control of a well-learned movement from regions associated with conscious thought to areas that operate largely automatically. This shift explains why a skilled athlete can ③ execute a complicated sequence of movements without consciously thinking through each individual step, freeing mental attention for strategy and decision-making instead. Interestingly, research also suggests that these neural pathways can remain partially intact even after long periods without practice, which is why relearning a skill is typically much ④ faster than learning it for the very first time. Coaches often exploit this principle by ⑤ ensuring that fundamental techniques are practiced correctly from the very beginning.

Psychologists who study daily behavior describe habits through a model ①called the cue-routine-reward loop. This theory explains that every habit begins with a cue, a signal that ②tell the brain to start an automatic behavior. The brain then performs a routine, ③which is the action itself, whether physical or mental. Finally, the brain receives a reward, a positive feeling that makes it want ④to 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 changing the routine while keeping the same cue and reward. Understanding this structure helps people redesign daily patterns more effectively than ⑤relying on willpower alone.

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.

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.

주어진 문장: This gap between expectation and reality is not caused by laziness, but by a predictable pattern in how people think about the future. The planning fallacy describes the tendency to underestimate how long a task will take, even when experience suggests otherwise. ( ① ) Psychologists who studied this bias found that people focus mainly on an idealized, best-case version of a project. They focus less on how similar projects actually unfolded before. ( ② ) A student who insists an essay takes two hours, despite needing five hours for every previous essay, shows a clear instance of the fallacy. ( ③ ) Large construction projects offer another example. Officials frequently predict completion dates that later prove far too optimistic once delays appear. ( ④ ) One reason this bias persists is that people rarely review their history of missed deadlines, relying instead on hopeful imagination. ( ⑤ ) Some researchers recommend a technique called reference class forecasting, comparing a new task to similar completed tasks. By anchoring predictions to real outcomes, planners can produce estimates that are considerably more accurate.

주어진 문장: She was surprised at how little willpower this required once the routine became familiar. Minji had tried for years to build a bedtime reading habit but always forgot once under the blanket. ( ① ) During summer, she found a method called habit stacking. It means attaching a new habit to an existing one so it acts as a reminder. ( ② ) Her existing habit was brushing her teeth every night, so she decided to place her book beside her toothbrush. ( ③ ) After brushing her teeth, she would pick up the book, letting one action trigger the next. ( ④ ) Within two weeks, opening the book after brushing felt almost automatic, requiring no conscious effort. ( ⑤ ) Encouraged by this success, Minji stacked another habit onto her morning routine, reviewing vocabulary words after making her bed.

This constant, individualized adjustment is what makes the technology feel so different from a standard workbook. Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. ( ① ) As a student answers practice questions, the app tracks which concepts are mastered and which remain shaky, then quietly reshuffles the next set of problems to target the weaker areas. ( ② ) Early studies suggest that this personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. ( ③ ) However, critics 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. ( ④ ) There is also a subtler concern: students who grow used to instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically provide. ( ⑤ )

주어진 문장: This is precisely why scientists treat these thresholds with such urgency, rather than viewing them as distant, abstract possibilities. Climate scientists frequently warn about tipping points, thresholds beyond which a small additional change triggers a large, often irreversible shift in the climate system. ( ① ) Unlike gradual warming, which unfolds steadily over decades, crossing a tipping point can produce dramatic consequences within a short period. ( ② ) For instance, as Arctic ice melts, it exposes darker ocean water that absorbs more sunlight than reflective ice, accelerating further melting in a self-reinforcing cycle. ( ③ ) Similarly, scientists worry that a major ocean current, which currently redistributes heat across the planet, could slow dramatically if enough freshwater from melting glaciers dilutes the surrounding seawater. ( ④ ) Once such thresholds are crossed, restoring the original balance may become nearly impossible, even if emissions are later reduced. ( ⑤ ) Therefore, researchers argue that preventing these transitions matters more than merely slowing average temperature increases. Identifying how close each system stands to its threshold remains one of the most urgent challenges in climate research.

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