영어 모의고사 (자동 편성)

Behavioral economists have long observed that people tend to feel the pain of losing something more intensely than the pleasure of gaining an equivalent amount, a tendency ①known as loss aversion. This asymmetry, which ②was first documented through a series of carefully designed experiments, suggests that the psychological weight of a loss can be roughly twice that of a comparable gain. Consider an investor who refuses to sell a declining stock, ③clings to the hope that its price will eventually recover, even when all available evidence indicates that selling and reinvesting elsewhere would be more rational. Such behavior, though it ④appears irrational from a purely economic standpoint, becomes understandable once we recognize that the investor is trying to avoid the sharp discomfort associated with realizing a loss. Similarly, consumers often demand a much higher price to give up an item they already own than they would be ⑤willing to pay to acquire the same item in the first place.

Every time a smartphone connects to a cell tower or a Wi-Fi network, it quietly records a data point that can later ①be pieced together into a detailed map of where its owner has been. Most users agree to this tracking without ②reading the fine print, assuming that a single company's database poses little threat. The real danger, however, emerges when location data from multiple sources ③combining. A pattern that reveals a person's home, workplace, and daily route can expose far more than any single app ever intended to share. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly ④shown that a handful of location points is enough to identify a specific person. As a result, privacy experts increasingly insist that location data ⑤deserves the same legal protection as medical records.

Over the past two decades, insights drawn from behavioral economics have moved beyond academic journals and into the machinery of government itself, reshaping how numerous public programs are designed and implemented. Tax authorities in several countries, for example, discovered that simply informing citizens how many of their neighbors had already paid overdue taxes on time substantially ①increased subsequent compliance rates, outperforming letters that merely threatened legal penalties for continued nonpayment. Public health agencies have applied similar principles to encourage preventive care, finding that appointment reminders phrased to emphasize the personal cost of a missed visit proved more ②ineffective than neutral reminders listing only the date and time. Employment offices redesigned job-seeking assistance programs around specific, actionable steps rather than general encouragement, discovering that participants who were asked to write down a concrete plan for the following week were considerably more likely to follow through than those who received only ③general advice. What unites these disparate interventions is a shared recognition that small, carefully tested adjustments to how choices are presented can produce measurable improvements in outcomes, often at a fraction of the cost required by traditional programs involving substantial financial incentives or extensive ④enforcement. This accumulated evidence has encouraged many governments to establish dedicated units tasked with applying behavioral insights ⑤systematically to policy problems across an increasingly broad range of domains.

Imagine a brilliant scientist named Mary who has spent her entire life inside a black-and-white room, learning everything physical science could ever teach about color, including the exact wavelengths of light and the precise neural processes triggered when a person sees red. Despite this complete physical knowledge, Mary herself has never actually seen a color; every book, screen, and object in her world has been carefully restricted to shades of gray. Suppose that one day Mary is finally released from the room and shown a ripe red tomato for the first time. Philosopher Frank Jackson argued that Mary would learn something entirely new at that moment, namely what it actually feels like to see red, even though she already possessed every physical fact about color there was to know beforehand. If Mary genuinely gains new knowledge upon leaving the room, then _______________.

When engineers design the software that controls a self-driving car, they face a question philosophers have debated for decades: should a crashing vehicle protect its own passenger, or minimize total harm even at the passenger's expense? Surveys reveal an uncomfortable contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. This suggests that _______________. Manufacturers, regulators, and philosophers must instead agree on transparent rules before autonomous vehicles are allowed to make such decisions.

For decades, memory researchers assumed that repetition alone determined how well information would be retained, an assumption that an influential theory proposed by Craik and Lockhart eventually overturned. (A) Shallow processing, which involves attending merely to superficial features such as the shape of letters or the sound of a word, produces memory traces that fade quickly and remain vulnerable to interference. Elaborative processing, by contrast, requires connecting new information to existing knowledge, generating meaningful associations, and analyzing semantic content, thereby producing traces that are considerably more durable. (B) Consequently, a student who merely repeats a definition aloud without considering its implications is less likely to retain it than one who relates the concept to a personal example. This distinction reshaped educational practice, encouraging teachers to design tasks that demand comprehension rather than mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement. (C) According to their framework, what matters most is not how many times a person rehearses material but how deeply that material is processed during encoding.

Classical economic theory assumes that consumers evaluate every price change in the same rational way, weighing marginal benefit against marginal cost regardless of the absolute numbers involved. (A) In a well-known laboratory experiment, participants chose between two chocolates, one of higher quality priced at a small fee and one of lower quality offered for free. When both prices were merely reduced by the same amount, most participants still preferred the higher-quality option. Yet once the cheaper chocolate's price was lowered to zero, the majority abruptly switched their preference, even though the price gap between the two options had not actually changed. (B) Researchers explain this reversal by noting that a free item carries no perceived risk of loss, which makes it feel disproportionately attractive compared with any option that still requires payment, however small. (C) Behavioral economists, however, have discovered a striking exception: the moment a price drops to exactly zero, people's judgment shifts in a way that ordinary discounting cannot explain.

주어진 문장: Because controlled processing is so resource-intensive, repeated practice offers an efficient way to shift a skill from one category to the other. Cognitive psychologists distinguish between two modes by which the mind handles information, a distinction that helps explain why experienced drivers can hold conversations while navigating familiar roads without conscious effort. ( ① ) Automatic processing occurs rapidly, requires minimal attention, and typically operates outside conscious awareness, allowing multiple automatic tasks to proceed without interfering with one another. ( ② ) Controlled processing, by contrast, unfolds more slowly, demands deliberate attention, and can generally handle only one demanding task at a time, since it draws upon a limited pool of cognitive resources that becomes rapidly depleted under competing demands. ( ③ ) Skills that once required intense concentration, such as reading or typing, gradually become automatic through extensive practice, freeing attentional resources for other purposes. ( ④ ) This shift explains why novice drivers find it difficult to talk while merging onto a highway, whereas seasoned drivers manage the same maneuver with comparative ease. ( ⑤ ) However, automaticity carries hidden costs, since automatized responses can be triggered inappropriately by habitual cues even when circumstances have changed, occasionally producing errors that controlled deliberation would have prevented.

주어진 문장: Although constructing a passive house initially costs more than building a conventional home, the savings accumulated over decades of reduced energy bills often outweigh this upfront investment. As buildings account for a substantial share of global energy consumption, architects have increasingly turned to a design philosophy known as the passive house standard, which minimizes energy demand through the building's own structure rather than through mechanical systems. ① Central to this approach is airtight construction, in which continuous insulation and sealed joints prevent conditioned air from leaking outward, thereby reducing the heating and cooling loads conventional buildings require. ② Triple-glazed windows, oriented to capture sunlight in winter while shading interiors in summer, further stabilize indoor temperatures without relying heavily on furnaces or air conditioners. ③ Ventilation systems equipped with heat exchangers also recover warmth from outgoing air, transferring it to incoming air so that comfort is maintained without excessive energy use. ④ For example, some passive houses built in cold climates have reduced heating costs by more than ninety percent. ⑤ Consequently, many architects regard passive house design not as a luxury for wealthy homeowners but as a practical model capable of reshaping mainstream construction. ① ② ③ ④ ⑤

For this reason, many economists argue that the real challenge is not the robots themselves, but the speed at which society is expected to adapt to them. Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. ( ① ) Economists have long debated whether this shift destroys jobs or simply transforms them. ( ② ) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. ( ③ ) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. ( ④ ) A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. ( ⑤ )