영어 모의고사 (자동 편성)

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm ① figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, ② 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 ③ be purchased, while students use it to identify plants, insects, or historical artworks in seconds. The system works by breaking an image down into countless small features, then ④ matches that pattern against millions of stored examples. It is not flawless, however; a blurry photo, an unusual camera angle, or an object partly hidden behind another can easily ⑤ confuse the algorithm.

The ecological footprint, a widely cited measure of how much biologically productive land and water a population ①require to sustain its consumption, has become one of the most familiar tools for communicating humanity's environmental impact. By ②converting diverse activities, from driving to eating meat, into a single unit of land area, the measure allows policymakers to grasp whether a lifestyle exceeds what the planet can regenerate. This simplicity, however, is also the source of its most persistent criticism. Because the footprint aggregates dissimilar impacts, such as carbon emissions and water scarcity, into one composite figure, it can obscure important differences among problems ③that require distinct policy responses. A region might reduce its footprint by lowering carbon emissions while simultaneously ④depleting a local aquifer, yet the aggregate number could still appear to improve, concealing damage that demands urgent attention. Furthermore, the method assumes that all bio-productive land is roughly interchangeable, ⑤treating a hectare of forest as equivalent to a hectare of farmland, even though the two provide markedly different ecological functions.

When individuals face uncertainty about how to behave, they frequently look to the actions of others for guidance, ①assuming that a behavior adopted by many people is more likely to be correct or appropriate than one adopted by few, a tendency known as social proof. This reliance on collective behavior can be remarkably efficient, since it allows individuals ②to benefit from the accumulated judgment of a crowd without having to gather and evaluate every relevant fact themselves. However, social proof can also lead entire groups astray when the initial signal that ③trigger imitation is itself unreliable or coincidental. A restaurant that happens to attract a long line early in the evening may continue attracting customers throughout the night simply because passersby ④interpret the queue as evidence of superior quality. Financial markets exhibit an analogous pattern: investors who observe others buying a particular asset often join the buying themselves, ⑤reasoning that so many participants cannot all be mistaken.

Consider a large heap containing ten thousand grains of sand. Nearly everyone agrees that removing a single grain from such a heap leaves another heap behind; surely one grain could never make the difference between a heap and a non-heap. Yet if this principle is applied repeatedly, grain by grain, the heap eventually ② grows to a single lonely grain, or even to no grains at all, and logic alone seems to force us to accept that this final result still counts as a heap. Something has clearly ① gone wrong along the way, since no reasonable person would call one grain of sand a heap, but pinpointing exactly which single removal transformed a heap into a non-heap seems ③ impossible. The puzzle exposes a deep discomfort with vague terms like "heap," "tall," or "bald," concepts that seem to admit no sharp ④ boundary yet are used confidently in everyday language. Some philosophers conclude that classical logic itself may need to be ⑤ revised to accommodate the genuine vagueness built into ordinary human language.

A shocking headline can spread across social media within minutes, long before anyone checks whether it is actually true. Studies show that false stories often travel ① slower than accurate ones, partly because surprising or emotional claims get shared more quickly than careful, balanced reporting. To handle this flood of information, students today need a skill that previous generations rarely had to practice: checking a source before believing it. Simple habits can make a ② real difference, such as looking for the original source of a claim, checking the date an article was published, and searching to see whether other trustworthy outlets are reporting the same story. Media literacy classes now teach students to ③ pause before they share anything, asking who wrote it and why. This small pause, teachers say, is often the only thing standing between a curious reader and a piece of ④ convincing misinformation, protecting not only the reader but everyone in their online ⑤ network.

Many teachers and parents worry that today's teenagers are losing the ability to read long, complex texts. National test scores show a slow decline in reading comprehension over the past ten years, and some experts blame smartphones and short videos for shortening students' attention spans. Other researchers disagree with this simple explanation. They point out that teenagers today read constantly, just in different forms, such as text messages, captions, and online articles. According to this view, the real problem is not that students read less overall, but that _______________. A team of researchers recently found that students who read at least one full book every month scored noticeably higher on comprehension tests than students who mainly read short online posts.

Many English teachers now ask students to write a short review after finishing a book, rather than simply filling out a reading log. (A) Teachers who assign reviews regularly report that their students remember plot details more accurately and discuss characters' motivations more confidently than students who only summarize. In this sense, writing a review is not extra work added onto reading; it is a way of reading more carefully in the first place. (B) To defend an opinion about a character or a theme, students must return to the book and find exact passages that support their view. This process forces readers to notice details they might have skipped during a first, quick reading. (C) At first, students often complain that summarizing a plot is enough work already, so writing an opinion on top of that feels unnecessary. However, a review requires something a summary does not: a clear judgment supported by specific evidence from the text.

The convenience comes at a cost that few passengers consider, however. A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns for that time of day, and even data from other drivers' phones currently on the road. ( ① ) This flood of information allows the app to reroute a driver away from a sudden accident within seconds, often before the driver has any idea the accident occurred at all. ( ② ) When thousands of drivers are simultaneously redirected onto the same shortcut, that quiet side street can quickly become as congested as the highway it was meant to help travelers avoid. ( ③ ) Residents of these once-quiet neighborhoods have increasingly complained about the sudden surge of unfamiliar traffic. ( ④ ) They argue that an algorithm optimizing for individual convenience can end up creating a new, entirely different problem for the wider community. ( ⑤ )

Static stretching, in which a muscle is held at its longest length for an extended period, can actually reduce the muscle's ability to generate explosive force immediately afterward. For decades, athletes were taught to stretch a muscle and hold the position before any competition, believing that this practice alone would prevent injury. ( ① ) Recent research, however, has complicated that assumption considerably. ( ② ) This is especially troubling for sprinters or jumpers who need maximum power right away. ( ③ ) Dynamic stretching, which involves controlled, repeated movement through a joint's full range of motion, appears to prepare muscles for activity without this temporary weakening effect. ( ④ ) As a result, many coaches now recommend saving static stretching for after a workout, while reserving dynamic movements for the warm-up period before intense effort begins. ( ⑤ )

Some welcome the tool as a quick way to sketch ideas before refining them by hand. Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track, ready to be dropped under a video or used as background music for a small business. ( ① ) The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new rather than copying any single source directly. ( ② ) For independent creators who cannot afford a composer or expensive licensing fees, this has been a genuine breakthrough. ( ③ ) Professional musicians, however, remain divided. ( ④ ) Others worry that a flood of AI-generated background music could quietly push human composers out of smaller, lower-budget projects, the very jobs many musicians once relied on to build a career. ( ⑤ )