영어 모의고사 (자동 편성)

Jiho had always assumed he would join a large corporation after graduation, just as his parents expected. During his final year of university, however, he joined a small student team ①building an app that connected local farmers directly with restaurants. What started as a class project gradually ②turned into something more serious, as several restaurants began placing regular orders through their prototype. Jiho and his teammates decided ③to delay job applications and instead spend a year developing the idea, despite warnings from relatives ④who considered the plan too risky. After nearly failing twice, the team secured a small investment that allowed them ⑤hire their first employee.

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, all powered by AI models trained to recognize facial features in real time. What began as a playful novelty has become a ①default setting for many users, subtly adjusting nearly every selfie posted online. Psychologists have grown concerned about a specific consequence of this shift: people increasingly compare their unfiltered reflection in a mirror to a filtered version of themselves seen constantly on a screen, a comparison that earlier generations never had to ②face. Some social media platforms have responded by ③labeling heavily edited photos or banning certain filters that alter body shape. Whether such small warnings can meaningfully ④worsen the daily flood of filtered images, however, remains an ⑤open question that researchers are only beginning to study.

Every day, email providers quietly block billions of ①unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. The filter ②examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. What makes the system effective is that it ③stops learning after launch, since whenever a user marks a message as spam or rescues a message mistakenly filtered out, that action becomes new training data, sharpening the filter's future decisions. This creates a constant back-and-forth, since spammers study which messages get blocked and then ④adjust their wording to slip through again. As a result, spam filtering is less like a fixed wall and more like an ⑤ongoing contest, with each side continuously adapting to outsmart the other.

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

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions with ①impressive accuracy. However, most researchers argue that AI still ②struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, for instance, but it can ③easily comfort a frightened patient the way a compassionate nurse can. Similarly, AI can generate countless design variations, yet it ④lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration and emotional intelligence, arguing that these human capabilities will become more ⑤valuable as automation spreads.

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. 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 ①detailed profile of individual taste. Listeners often ②praise 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. Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. A song that the algorithm decides not to promote may ③thrive among listeners no matter how well it was written, meaning that an artist's success can depend as much on pleasing an algorithm as on pleasing an ④actual audience, a dependence some musicians find deeply ⑤unsettling.

Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions accurate enough that many viewers now leave them on by default. The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases to predict what was actually said. The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary such as medical or technical terms, occasionally producing captions that are unintentionally funny. Even with these flaws, _______________.

After a strenuous workout, muscle fibers experience thousands of microscopic tears, and the body immediately begins a repair process that depends heavily on amino acids, the building blocks that protein supplies. This is why sports scientists recommend consuming protein within a couple of hours after training, since _______________. Many athletes assume that eating an enormous quantity of protein in a single sitting will speed up this process, but the body can only use a limited amount at once; the rest is simply burned for energy or stored as fat.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. Employees who work with big data now face responsibilities that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Regardless of which approach prevails, most experts agree that ___________. Universities have begun adding data ethics courses to computer science programs, recognizing that future employees will need to balance innovation with responsibility.

주어진 문장: Without independent verification, however, such labels can mean almost anything the company wants them to mean. Many companies today advertise their products as environmentally friendly, yet not all of these claims are accurate. ( ① ) This practice, known as greenwashing, involves exaggerating or fabricating a product's positive impact on the environment. ( ② ) Some brands print vague terms such as "natural" or "eco-conscious" on packaging without providing any evidence to support these labels. ( ③ ) Consumers, who are increasingly concerned about climate change, often trust such claims without questioning them closely. ( ④ ) As a result, they may pay higher prices for products that are no more sustainable than ordinary alternatives. ( ⑤ ) Therefore, governments should establish clear standards that require companies to prove their environmental claims with verifiable data.