영어 모의고사 (자동 편성)

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.

A smart thermostat that learns a family's daily rhythm can lower the temperature automatically before everyone wakes up cold, while smart lights ① that 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 ② which settings match each household's actual habits rather than a factory default. Over months of use, the system becomes noticeably better at ③ anticipate needs, often adjusting settings moments before a resident would have reached for a switch. Yet convenience comes with a trade-off that many households ④ overlook. 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 ⑤ being stored somewhere beyond their immediate control.

The ancient puzzle known as the ship of Theseus asks a deceptively ① simple question. If every plank of a wooden ship is 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 ② small to erase the ship's identity. The puzzle grows far ③ duller, however, once a second twist is introduced. Suppose a careful collector gathered every discarded plank and reassembled them into a second vessel, built exactly as the original once stood. Two ships would then exist side by side, each with an equal claim to being the ④ 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 ⑤ explain.

A growing number of health apps now track steps, sleep, and heart rate throughout the day, quietly building a detailed picture of a user's physical condition without requiring a single visit to a doctor's office. By comparing this stream of data against patterns drawn from millions of other users, the app's algorithm can ① flag early warning signs, such as an irregular heartbeat, long before the person experiencing it would have noticed anything unusual on their own. For people living far from specialists or unable to afford frequent checkups, this kind of constant monitoring can feel like a genuine ② safety net. Doctors caution, however, that these apps are designed to ③ diagnose illness, not merely to detect patterns, and that a worried user should always confirm any alarming reading with a professional rather than trusting an app's suggestion alone. Treating a wellness app as a ④ substitute for medical expertise, they warn, can be just as risky as ⑤ ignoring a warning altogether.

Many students ①assume that perfectionists work harder than everyone else, but psychologists describe a puzzling pattern called the perfectionism-procrastination cycle. Because perfectionists set impossibly high standards, they often feel ②anxious before they even begin, and the task feels overwhelming. They then ③accelerate the work to avoid facing their own unrealistic expectations, even though delay only increases their stress later. Likewise, an employee facing an important report may check emails repeatedly rather than begin drafting, fearing an early attempt will seem ④inadequate. Ironically, this avoidance guarantees the very failure that perfectionists dread, since ⑤rushed, last-minute work rarely meets their own high standards.

Behavioral savings programs of this kind rest on a deliberately modest set of psychological assumptions about their participants. (A) Rather than assuming that employees will consistently exercise the willpower required to save voluntarily, the program assumes the opposite: that inertia, once established in a beneficial direction, will keep participants enrolled without further effort. (B) This modest assumption turns out to be far more reliable than optimistic assumptions about sustained willpower, since it requires participants to do nothing at all in order to keep saving. (C) Traditional financial education campaigns, by contrast, often rely on the assumption that providing sufficient information will motivate people to change their saving habits, an assumption that field results have repeatedly failed to support.

The sunk cost fallacy also complicates decisions in personal relationships and long-term commitments. (A) A person who has invested years in a career path that no longer brings satisfaction may nonetheless continue along that path, reluctant to treat those years as time that cannot be reclaimed regardless of future choices. (B) This reluctance often stems less from genuine hope for improvement than from an unwillingness to admit that the time and effort already invested failed to produce the desired outcome. (C) Recognizing this pattern requires distinguishing between a decision genuinely worth continuing and one being sustained merely to justify past commitment, a distinction that is often uncomfortable to draw honestly.

After learning that my constant headaches were caused by air-conditioning sickness, I decided to change a few habits. (A) Next, I made sure to drink warm water instead of only cold drinks throughout the day. (B) First, I began carrying a light jacket to wear whenever a room felt too cold. (C) Finally, I started stretching and walking around every hour instead of sitting still all day.

Have you ever thrown away an old pair of jeans simply because they no longer fit? Instead of discarding them, many people now turn old items into something new and useful. (A) However, upcycling differs from ordinary recycling, which usually breaks materials down before making something new. In upcycling, the original material keeps most of its form while gaining a fresh purpose. Therefore, choosing to upcycle rather than throw items away can reduce waste significantly. This small shift in thinking allows old objects to enjoy a meaningful second life. (B) This creative process, called upcycling, transforms unwanted objects into products with greater value than before. (C) For example, a worn pair of jeans can be cut and sewn into a sturdy bag or a small pouch. Old wooden pallets, once used for shipping, are often rebuilt into simple furniture such as tables and shelves.

Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. ( ① ) This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably detailed profile of individual taste. ( ② ) Listeners often praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. ( ③ ) A song that the algorithm decides not to promote may struggle to reach listeners no matter how well it was written. ( ④ ) This means that an artist's success can depend as much on pleasing an algorithm as on pleasing an actual audience. ( ⑤ )