영어 모의고사 (자동 편성)

Biodegradable plastics have been promoted as a promising solution to plastic waste, since they ①are designed to decompose into natural substances rather than persist for centuries. Manufacturers derive these materials from renewable resources such as corn starch, blending them with additives that ②accelerates microbial breakdown once discarded. However, their environmental benefits are often exaggerated, largely because decomposition depends on specific conditions rarely ③found outside industrial composting facilities. For example, a bag labeled biodegradable may take years, not the weeks advertised, to break down in a landfill or ocean, where temperature and microbial activity remain low. In addition, when mixed with conventional plastics in recycling streams, they can contaminate the process, ④weakening the quality of materials produced afterward. Some engineers therefore compare biodegradable plastics to a bridge that leads nowhere unless paired with infrastructure that completes the journey. Ultimately, realizing their genuine potential requires not only technological refinement but also facilities capable of ⑤providing the precise conditions decomposition demands.

A striking proportion of individual investors believe their own stock-picking ability to be above average, a statistical impossibility given that only half of any population can genuinely outperform the rest, yet a pattern that ①persists with remarkable consistency across surveys. This tendency, known as overconfidence bias, leads investors ②to trade more frequently than a more cautious assessment of their own skill would justify. Extensive research comparing the trading records of numerous individual accounts has demonstrated that investors who trade most frequently ③tends to earn substantially lower returns than those who trade rarely, largely because transaction costs accumulate and because frequent trading often reflects overconfident reactions to short-term noise rather than genuine insight. Overconfidence also manifests in the tendency to underestimate the range of possible outcomes, ④causing investors to concentrate their holdings in a small number of assets they feel certain about rather than diversifying across a broader portfolio. Paradoxically, then, the very confidence that motivates investors to act decisively often ⑤undermines the outcomes they are trying to achieve.

Among the many tools available to those who design choice environments, few are as quietly powerful as the default option, the alternative that ①takes effect automatically unless a person actively selects something else. Because changing a default requires deliberate effort, many individuals simply accept whatever arrangement has been preselected for them, regardless of whether that arrangement actually ②serve their interests best. This tendency has been documented across a remarkably wide range of contexts. Countries that automatically enroll citizens in organ donation programs, requiring an explicit request to opt out, consistently report far higher donor registration rates than countries that require citizens ③to actively opt in. Employers who automatically enroll new hires in retirement savings plans likewise see participation rates ④climb dramatically compared with employers who leave enrollment entirely voluntary. What makes default options so influential is not merely convenience; a default also functions as an implicit signal about what is considered normal or recommended, subtly ⑤shaping perceptions even among individuals who believe themselves to be deciding independently.

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. 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. ①Shallow 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 ②vulnerable 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 ③fragile. 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 ④comprehension rather than ⑤mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement.

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure essential to modern life. That assumption is increasingly being reconsidered, particularly as _______________. Closing this divide will require more than simply distributing devices.

In the late nineteenth century, the psychologist Hermann Ebbinghaus undertook a rigorous investigation of forgetting by serving as his own experimental subject. He memorized thousands of meaningless three-letter syllables so that prior knowledge could not skew his results. After learning each list to perfection, he tested his retention at intervals ranging from twenty minutes to a month later. He recorded how many repetitions were required to relearn the material each time. The resulting curve revealed a consistent pattern: _______________. Roughly half of the acquired information vanished within the first hour alone. Yet whatever survived that initial plunge tended to persist for much longer periods. Ebbinghaus further found that distributing study sessions across several days produced better retention than cramming the same repetition into one sitting. This finding, now central to modern learning theory, implies that revisiting material shortly before it would otherwise be forgotten interrupts the decline of the forgetting curve.

Social media platforms rarely show users a neutral stream of information. (A) Over time, users exposed to a steady diet of emotionally charged content may come to believe that extreme opinions are far more common than they actually are. (B) Instead, recommendation algorithms are optimized to maximize engagement, and content that provokes strong emotion tends to hold attention longer than balanced reporting ever could. (C) Researchers describe this as a distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling.

Several cities have already reported cases in which an innocent person was detained based on a flawed match. Facial recognition software has moved rapidly from airport security lines into shopping malls, schools, and even private apartment buildings, promising convenience in exchange for a quick scan of one's face. ( ① ) Proponents note that the technology can unlock doors, catch shoplifters, and speed up identity checks far faster than any human guard could manage. ( ② ) Independent studies, however, have repeatedly found that many commercial systems perform less accurately on women and people with darker skin tones. ( ③ ) This gap can lead to wrongful identification with serious real-world consequences. ( ④ ) Until these systems can prove equally reliable for everyone, critics argue, deploying them at all represents a form of quiet discrimination dressed up as efficiency. ( ⑤ )

주어진 문장: This insight helps explain why memory athletes can recall astonishing amounts of information despite possessing the same underlying cognitive architecture as everyone else. Working memory refers to the mental workspace in which information is temporarily held and manipulated while a person performs a cognitive task. ( ① ) Such tasks include solving an arithmetic problem, following a rapid conversation, or holding a phone number in mind before dialing it. ( ② ) In the mid-twentieth century, the psychologist George Miller proposed that this workspace could accommodate roughly seven discrete items. His claim proved so influential that it became widely known as the magic number seven. ( ③ ) Subsequent research, however, revealed that Miller's estimate was somewhat generous, since it failed to account for the complexity of the material being remembered. ( ④ ) Nelson Cowan later argued that when rehearsal strategies are prevented and attention is tightly controlled, genuine capacity hovers closer to four items rather than seven. This discrepancy suggests that what earlier studies had measured was not raw storage capacity itself but a hybrid quantity inflated by clever strategies. ( ⑤ ) Contemporary psychologists therefore distinguish between the fixed limit of working memory and the flexible techniques that allow individuals to transcend that limit.

The software company, in turn, may argue that no algorithm can be expected to be perfect. Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. ( ① ) When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. ( ② ) The doctor may argue that they simply trusted a tool the hospital required them to use. ( ③ ) The hospital, meanwhile, may argue that the software company guaranteed its accuracy. ( ④ ) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable. ( ⑤ )