영어 모의고사 (자동 편성)

As nudging has moved from academic theory into widespread practice, a persistent ethical question has accompanied its rise: at what point ①does subtly guiding behavior for someone's own benefit shade into manipulation that undermines their capacity for autonomous choice? Proponents typically distinguish nudges from manipulation by pointing to transparency and reversibility, arguing that a legitimate nudge ②operate openly, can be easily resisted by anyone who wishes to opt out, and ultimately serves the interests of the person being nudged rather than the interests of whoever designed the intervention. Critics counter that this distinction often collapses in practice, since many effective nudges work precisely because they ③exploit cognitive processes operating below conscious awareness, meaning that the person being influenced may never fully register that a nudge is even occurring. A supermarket that arranges healthier foods at eye level, for instance, differs only in the direction of its influence, not in its underlying mechanism, from a supermarket that ④arranges the most profitable items at eye level. This tension suggests that the ethical status of a nudge cannot be evaluated by examining its psychological mechanism alone; instead, it must be judged according to the intentions of the party who ⑤designs it and the outcome that design is intended to produce.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Many companies that once required workers ①to commute daily now allow them to complete tasks from home. Supporters argue that remote work increases productivity, since employees avoid long commutes and ②distracting office environments. It also allows companies to hire talented people regardless of where they live, ③widening the pool of candidates. Critics, however, worry that remote work weakens teamwork and ④make it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel isolated and ⑤struggle to build strong professional relationships.

Consider a student who genuinely intends to study for tomorrow's exam yet, when the evening actually arrives, chooses to ①watch another episode of a favorite show instead, ②promising herself she will surely study harder next week. This pattern, in which the pull of an immediate pleasure overwhelms the value of a distant benefit, ③appear again and again across ordinary life, from postponed exercise to delayed savings. People do not necessarily fail to understand that the future reward matters more; rather, whatever happens right now simply feels disproportionately more urgent and vivid than anything scheduled for later. Behavioral economists note that this preference weakens considerably once both options are ④pushed into the future, which is why planning a diet starting next month feels effortless compared with skipping dessert tonight. Such inconsistency helps explain why gym memberships go ⑤unused and retirement accounts remain underfunded, despite people's stated intentions.

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.

Why do people often ①overvalue objects they have partly built themselves, even when the finished product is objectively ②inferior to something they could have simply purchased? This puzzle, which researchers named after a furniture retailer famous for selling items that require home assembly, challenges the standard economic assumption that value is determined solely by an object's inherent qualities. In a series of experiments, participants who assembled a plain storage box were willing to pay nearly as much for their own ③imperfect creation as they were for a professionally built version, despite being fully aware of its flaws. Labor, it seems, functions as a kind of psychological investment: once effort has been poured into a task, individuals become ④reluctant to judge the outcome objectively, because doing so would require admitting that their effort was partly wasted. This tendency helps explain why consumers often prefer products that demand some degree of personal assembly, even when a comparable finished item is available at a ⑤higher price and requires no time investment whatsoever.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. However, most researchers argue that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. Similarly, AI can generate countless design variations, yet it lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence, arguing that ___________.

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

주어진 문장: This is often because their goals are too vague or unrealistic to follow. Many people make new year's resolutions, but few actually achieve them. ( ① ) One helpful method for solving this problem is called SMART goal setting. ( ② ) First, a goal should be specific, describing exactly what you want to do instead of using vague words. ( ③ ) Second, it should be measurable, so you can check your progress with clear numbers. ( ④ ) Third, it should be achievable, fitting your situation without being too difficult to reach. ( ⑤ ) Finally, it should be relevant to your life and time-bound with a clear deadline.

주어진 문장: This growing academic attention reflects how seriously the issue is now being taken. 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. ( ① ) 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. ( ② ) Some argue that strict regulations should govern data collection, even if such rules slow innovation and increase costs for businesses. ( ③ ) Others insist that self-regulation within companies, guided by clear ethical training, can protect consumers just as effectively without stifling progress. ( ④ ) Most experts agree that professionals handling sensitive data must be trained not only in technical skills but also in ethical decision-making. ( ⑤ ) Universities have begun adding data ethics courses to computer science programs, recognizing that future employees will need to balance innovation with responsibility.

주어진 문장: Not everyone welcomes this shift, however, and some worry that it comes at a cost. As technology continues to reshape the job market, educators and employers increasingly agree on which skills will matter most in the coming decades. ( ① ) Technical literacy, including basic coding and data analysis, has become nearly as fundamental as reading and writing once were. ( ② ) Schools have begun redesigning curricula to emphasize problem-solving and adaptability, moving away from rote memorization toward project-based learning that mirrors real workplace challenges. ( ③ ) Most experts insist that a balanced combination of technical skill, adaptability, and communication will define successful careers ahead. ( ④ ) Communication skills matter as well, since many future jobs will require collaborating with both human colleagues and intelligent systems. ( ⑤ )