영어 모의고사 (자동 편성)

As technology continues to reshape nearly every profession, the idea of finishing education after graduation ①has become outdated. Workers who once expected their initial training to last an entire career now find that skills can become obsolete within just a few years. Many professionals now take short online courses, attend workshops, or ②earn new certifications while continuing to work full-time. Companies that support this kind of continuous education often benefit as well, since employees ③bring fresh knowledge back into their daily tasks. Critics argue that constant learning can be exhausting and ④difficultly to balance with personal responsibilities. Nevertheless, most career experts insist that those who resist ongoing education risk ⑤falling behind their peers.

The framing effect ①describe how people respond differently to the same information depending on how it is presented, even when the underlying facts remain unchanged. When news outlets describe climate change primarily as a looming crisis, ②filled with images of disasters and warnings of irreversible damage, audiences often react with fear or, paradoxically, with hopeless resignation. In contrast, when the same issue is framed as an opportunity, ③emphasizing innovative technologies and emerging green jobs, readers tend to feel more motivated to act and support policy change. Neither framing alone tells the complete story, since climate change genuinely involves both serious risks and promising solutions. Therefore, journalists who rely too heavily on either extreme risk ④distorting public understanding and discouraging meaningful engagement. A balanced approach, ⑤which honestly presents dangers while highlighting realistic paths forward, is far more likely to sustain long-term public attention and inspire lasting action.

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm ①figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, ②identifying 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 ③be 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 ④matches 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 ⑤confuse the algorithm.

As more businesses move their operations online, cyberattacks have become one of the most ①serious threats facing modern companies. In response, demand for cybersecurity professionals has ②decreased across nearly every industry. These specialists design systems that detect suspicious activity, patch vulnerabilities before criminals can exploit them, and train employees to recognize phishing attempts. Unlike many technical fields, cybersecurity requires constant learning, since hackers continually develop new methods to ③bypass existing defenses. Despite this expansion, experts estimate that millions of cybersecurity positions worldwide remain ④unfilled, largely because the number of qualified applicants has not kept pace with rapidly increasing demand. This shortage suggests that cybersecurity will remain a ⑤promising career path for years to come.

Irving Janis, a psychologist, used the term groupthink to describe how close-knit groups sometimes make poor decisions together. (A) Trusting this shared confidence, the group moved forward without pausing to consider whether the shortcut might cause problems later. (B) In one online study group, for example, a suggestion to skip an important step was accepted almost instantly, with no one voicing concerns. (C) Only after their project was criticized for missing key information did the members recognize how strongly the group's harmony had silenced doubt.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. (A) Frequent travelers now point their phone cameras at street signs and receive an instant translation overlaid on the screen, thanks to this leap in accuracy. (B) Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can completely change the intended meaning. (C) Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word.

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 )

Yet the number displayed each morning is only as good as the estimate behind it. Wearable devices that track sleep have become enormously popular, promising a detailed breakdown of light, deep, and REM sleep each night. ( ① ) These gadgets typically rely on movement sensors and heart rate monitors to estimate sleep stages, since directly measuring brain activity would require equipment found only in a sleep laboratory. ( ② ) This indirect approach, however, introduces significant uncertainty. ( ③ ) Independent studies comparing wearable data with polysomnography, the gold-standard method used in clinical sleep labs, have found that consumer devices are reasonably accurate at distinguishing sleep from wakefulness but considerably less reliable at identifying specific sleep stages. ( ④ ) Some trackers overestimate deep sleep, while others underestimate the amount of time spent in REM sleep, and the margin of error can vary widely between brands. ( ⑤ ) Despite these limitations, many users have come to treat the nightly score generated by their device as an objective medical verdict, sometimes experiencing anxiety when the number falls below what they expect, a phenomenon researchers have begun calling orthosomnia.

주어진 문장: Vague intentions, by contrast, give the brain no clear signal about when effort should begin or end. Setting a goal such as 'I will study harder' rarely leads to meaningful improvement. ( ① ) According to psychologists Edwin Locke and Gary Latham, specific and challenging goals produce far better performance than vague or easy ones. ( ② ) This idea, known as goal-setting theory, suggests that clear targets direct attention and sustain effort over time. ( ③ ) To apply this theory effectively, many educators recommend the SMART framework, which requires goals to be Specific, Measurable, Achievable, Relevant, and Time-bound. ( ④ ) For instance, a student following this framework might say, 'I will memorize thirty new words every week for two months.' Because the goal includes a clear number and a deadline, progress becomes easy to track and evaluate. Challenging goals also tend to increase motivation, since people often work harder when a target feels meaningfully difficult rather than trivially simple. ( ⑤ )

주어진 문장: This legal gray area affects a rapidly growing portion of the global workforce. As millions of people now earn income through delivery apps and ride-hailing platforms, questions about their legal status have become increasingly urgent. ( ① ) Most platform workers are classified as independent contractors rather than employees, which means they lack access to minimum wage guarantees, paid sick leave, or unemployment insurance. ( ② ) Companies favor this arrangement because it allows them to avoid the costs associated with hiring full employees. ( ③ ) Worker advocates, however, argue that many platform workers depend on these jobs as their primary source of income, much like traditional employees do. ( ④ ) Several countries have recently begun reconsidering their labor laws, proposing new categories that would grant platform workers some employee-like protections. ( ⑤ ) Supporters of these reforms believe fair treatment and flexibility can coexist within the same system.