영어 모의고사 (자동 편성)

Many students wonder why club activities matter so much for their school life record, a document ①that summarizes what a student did during each semester. Whenever students take part in a club, their teacher writes a short note ②describing what role they played and how they grew. For example, a student ③who organized a club exhibition might be described as someone who showed strong leadership and creativity. These notes are not simply a list of activities; they explain the process behind each achievement. Therefore, admissions officers at universities read the record carefully ④understand a student's genuine interests, not just their grades. In contrast, a club membership with no real participation rarely leaves a meaningful impression. This is why teachers encourage students ⑤to take an active role rather than joining a club only for its name.

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.

When a beverage company launched a new flavor last summer, the marketing team faced a tight budget and needed a creative solution. Instead of relying on expensive television commercials, they designed a simple dance challenge and invited a handful of everyday users ①to post videos using the product. Within days, thousands of people began recreating the dance and tagging the brand, turning an ordinary product launch into a viral trend. Because participants created the content themselves, viewers found the videos far more entertaining than a traditional advertisement would have been. The company barely spent any money on production, yet the challenge ②reach millions of viewers across multiple platforms. Researchers later explained that the original challenge ③succeeded because it ④felt spontaneous and fun rather than obviously commercial. This case demonstrates that authenticity, not advertising budget, often ⑤determines whether a campaign truly resonates with audiences.

As artificial intelligence ①becomes part of everyday life, entirely new job titles are appearing in the workplace. Prompt engineers, for instance, design effective instructions ②that help AI programs produce accurate and useful results. AI ethics officers examine whether a company's technology ③treat users fairly and avoids harmful bias. Meanwhile, human-AI collaboration trainers teach employees how ④to use AI tools efficiently without depending on them completely. These jobs did not exist even ten years ago, yet they are ⑤growing quickly across many industries.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ①decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ②minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③contradiction: 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 gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on ④transparent rules before autonomous vehicles are ⑤forbidden to make such decisions on the road.

Anyone who has tried to name the ink color of a word like red printed in blue letters knows how surprisingly difficult the task can feel. This everyday struggle, known as the Stroop effect, deserves more attention than casual curiosity grants it, because it reveals something fundamental about how the mind allocates its limited resources. Reading a familiar word is an automatic process practiced so extensively since childhood that it proceeds almost involuntarily, whereas naming a color requires deliberate, controlled attention. When these two processes point toward conflicting answers, _______________. Educators should not dismiss this delay as a trivial curiosity confined to laboratories, since the same competition between habit and intention underlies far more consequential situations, such as a driver's struggle to resist checking a phone despite knowing the danger. Recognizing how automatic responses can hijack conscious intentions is essential for designing environments, from classrooms to highways, that support rather than undermine our efforts at self-control.

When Daniel was a child, he dreamed of becoming an astronaut, yet he assumed such careers belonged only to a handful of government scientists. During an internship, he helped design a small satellite intended to monitor crop health from orbit, a project that combined engineering with agricultural science. He realized that ___________. After graduation, Daniel joined a startup developing lunar landing equipment, a job that barely existed when he first imagined his future career.

A few years ago, spotting a manipulated video required a trained eye and specialized software. Today, freely available applications allow almost anyone to fabricate convincing fake footage within minutes. Perhaps more troubling than any single fake video is the broader effect on public trust, sometimes called the liar's dividend, in which _______________. In this environment, the mere possibility of manipulation can be almost as damaging as manipulation itself.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. (A) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days and compete with the very artists who trained it. (B) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. (C) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

This finding is particularly striking given that the two groups of employees faced no difference whatsoever in the financial terms of the plan itself. Employers have long experimented with how retirement savings plans are presented to new hires. ( ① ) In one common arrangement, employees receive a form and must actively check a box to begin contributing a portion of their salary to a savings account. ( ② ) Under this opt-in arrangement, a substantial share of eligible employees never get around to enrolling, often citing simple procrastination rather than genuine disinterest in saving. ( ③ ) When employers instead enroll employees automatically and require them to check a box only if they wish to withdraw, participation rates climb to well over ninety percent. ( ④ ) Only the framing of the choice, not its economic substance, appears to determine whether employees end up saving for retirement. ( ⑤ ) This gap between the two arrangements reveals just how powerfully a default setting can shape decisions that people generally regard as carefully considered.