영어 모의고사 (자동 편성)

Soyeon joined an online study group chat where dozens of students ①planned a class project together every evening. When one member suggested ②skip a required survey step to save time, several others quickly agreed, and no one raised any objections. Soyeon privately worried that skipping the survey might ③weaken their project, but seeing everyone else nodding along, she stayed silent rather than risk sounding difficult. The group proceeded confidently, convinced their shortcut was harmless, until their teacher ④pointed out serious gaps once the project was submitted. She realized that the chat's friendly, unified atmosphere had actually ⑤discouraged critical thinking, making poor decisions feel completely normal at the time.

When a customer opens a company's website at midnight with a billing question, an actual employee is unlikely ①to be available, which is exactly the gap that customer service chatbots were built ②to fill. These programs can instantly answer common questions, track packages, and process simple refunds without ③making anyone wait on hold. Yet the technology has clear boundaries. When a customer's problem is unusual, emotionally charged, or simply does not fit the chatbot's script, the automated replies can feel frustratingly circular, ④repeating the same suggestion no matter how the question is rephrased. Many companies have responded by designing chatbots to recognize their own limits, automatically ⑤transfer a frustrated customer to a human agent before the conversation turns into a source of complaint rather than a solution.

Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. This theory explains that every habit ①begins with a cue, a signal that tells the brain to start an ②automatic behavior. The brain then performs a routine, which is the action itself, whether physical or mental. Finally, the brain receives a reward, a ③negative feeling that makes it want to ④repeat 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 almost without ⑤conscious 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 relying on willpower alone.

Rather than replacing human creativity outright, many artists, writers, and filmmakers have begun treating AI tools as an unusual kind of ①collaborator, 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 ②discard nine, keeping only the phrase that sparks an idea worth developing further. 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. What makes this collaboration work, according to many creators, is that the human remains firmly in charge of judgment and taste, using the AI's output as raw material rather than a ③finished product. Critics ④agree that this framing accurately captures the risk, since even a first draft ultimately shapes everything that follows it, a claim most creators find ⑤reassuring.

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.

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.

Sociologist Mark Granovetter introduced an idea that seems ①contradictory at first glance, known as the strength of weak ties. According to this theory, people who see each other only ②occasionally, called weak ties, often provide more valuable information than close friends or family members, who are considered strong ties. This happens because strong ties tend to share the same social circles and, therefore, already possess ③similar knowledge. Weak ties, in contrast, move within different networks, which allows them to introduce ideas or opportunities that would otherwise remain unknown. For example, a former classmate rarely contacted might mention a job opening unavailable through one's immediate circle. Social media platforms have made maintaining such connections remarkably ④harder, letting users keep hundreds of loose acquaintances active without frequent face-to-face meetings. Consequently, these platforms function as efficient channels through which weak ties continue delivering ⑤fresh opportunities that close relationships simply cannot offer.

A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data to suggest a training plan tailored to the individual. When the device detects signs of overtraining, it may recommend a lighter workout or an extra rest day before fatigue turns into an actual injury. Amateur athletes often credit this kind of guidance with helping them train more consistently without pushing their bodies too hard. Sports scientists note an important caveat, however: _______________.

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. (A) 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. (B) Early studies suggest that this personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. (C) However, critics caution that an app cannot replace the encouragement, humor, and flexibility a human teacher brings to a lesson.

Imagine two factories making the same product: one in a country with strict carbon rules, and one in a country with almost none. (A) However, critics claim it unfairly burdens developing countries, which often lack money to modernize factories quickly. For example, a small exporter in a poorer nation might struggle to pay the added charge, though it contributes little to global emissions. Still, if wealthier nations pair the policy with technical support, it could become a genuinely fair tool for cutting emissions worldwide. (B) Supporters argue that the system protects domestic industries and pushes foreign manufacturers toward cleaner methods. (C) The factory facing stricter rules often spends more, which can make its goods pricier than those made elsewhere. To fix this imbalance, some governments have introduced the carbon border adjustment mechanism, a policy charging imported goods a fee based on how much carbon was released while producing them.