영어 모의고사 (자동 편성)

문제 1

Behavioral economists use the term temporal discounting to describe how people ①undervaluing future rewards simply because those rewards are not immediate. This tendency explains why a student might choose to watch videos tonight rather than study for an exam that remains several weeks away, even though studying ②offers a far greater long-term benefit. A distant reward, no matter how valuable, feels psychologically smaller than a small reward ③available right now. This bias contributes to procrastination, since future consequences rarely feel urgent enough ④to motivate immediate action. To counter this tendency, students should convert distant goals into smaller, near-term milestones that feel more emotionally real. Setting weekly checkpoints rather than a final deadline can make future benefits feel closer and more concrete. Teachers and parents should provide immediate, meaningful feedback, since prompt recognition helps bridge the gap between present effort and delayed reward, ultimately ⑤reducing the urge to postpone tasks.

문제 2

Automation is transforming labor markets more quickly than economists predicted only a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms ①that assemble products with remarkable precision. Warehouses use automated systems ②to sort and deliver packages within a few hours. This shift does not simply eliminate jobs; it also creates roles that ③never exists before. Technicians who maintain robotic equipment are now in high demand, and engineers who design efficient systems ④are highly valued. Policymakers argue that retraining programs ⑤are essential to help displaced workers move into emerging fields.

문제 3

As more businesses move their operations online, cyberattacks ①have become one of the most serious threats facing modern companies. Hackers now target everything from small retail websites to massive financial institutions, ②stealing sensitive data or demanding ransom payments. These specialists design systems ③that 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, ④since hackers continually develop new methods to bypass existing defenses. Universities have responded by creating specialized degree programs, while many companies now ⑤offers scholarships to attract students into this growing field.

문제 4

Choice architecture refers to how decisions are ①designed. It determines which option is automatically selected unless a person chooses otherwise, ②known as the default option. Research consistently shows that people tend to stick with whatever is already set, even when changing it takes only seconds. Organ donation is a well-known example. Countries ③which citizens are automatically registered as donors unless they opt out show much higher donation rates than opt-in countries. Retirement savings programs show a similar pattern, since employees ④automatically enrolled in a pension plan rarely cancel it. Voluntary sign-ups, in contrast, often delay indefinitely. Critics argue that default options can be manipulated to benefit companies, so transparency about how defaults are chosen becomes essential, and supporters insist it should be designed ⑤to support people's long-term interests.

문제 5

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions ①have emerged about how that information should be handled. Employees who work with big data now face responsibilities ②that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Some argue that strict regulations should govern data collection, even if such rules ③slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can ④protects consumers just as effectively without stifling progress. Universities have begun adding data ethics courses to computer science programs, ⑤recognizing that future employees will need to balance innovation with responsibility.

문제 6

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.

문제 7

Having grown up with smartphones and social media, they research products ①extensively online before making even small purchases. Unlike older generations, who often valued brand loyalty above all else, many members of Generation Z ②prioritize a company's values, switching brands easily if one no longer matches their beliefs. They also tend to ③favor secondhand and resale platforms, viewing sustainability as an important factor. Peer recommendations shared through short videos frequently carry ④less weight than traditional celebrity endorsements, since viewers see these creators as relatable rather than distant figures. Businesses that fail to adapt to these preferences risk losing an entire generation of potential customers, so many companies now invest in ⑤authentic engagement.

문제 8

Psychologist Roy Baumeister proposed a concept called ego depletion theory, which suggests that willpower functions like a muscle that gradually ①strengthens after repeated use. According to this theory, every act of self-control, from resisting a snack to concentrating on difficult homework, draws from the same ②limited mental resource. As this resource becomes ③depleted throughout the day, later decisions require more effort and are more likely to fail. For instance, someone who exercises discipline avoiding distractions all morning may ④struggle to resist checking a phone by evening. Likewise, dieters report that self-control weakens sharply at night, after hours of resisting food. Some researchers argue that short breaks, adequate sleep, and blood sugar levels can help ⑤restore this depleted resource.

문제 9

Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions accurate enough that many viewers now leave them on by default. (A) For viewers who are deaf or hard of hearing, this improvement has quietly transformed everyday access to video content that once required a human transcriber and a considerable amount of time to caption properly. (B) The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases to predict what was actually said. (C) The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary, occasionally producing captions that are unintentionally funny.

문제 10

주어진 문장: This concern reflects a deeper fear about what makes art meaningful in the first place. Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. ( ① ) Programs can now compose music, generate paintings, and even draft short stories within seconds. ( ② ) Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. ( ③ ) Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. ( ④ ) Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. ( ⑤ ) Instead, it functions best as a collaborative tool, helping creators experiment faster while leaving final artistic decisions to humans.