영어 모의고사 (자동 편성)

For much of its history, economic theory treated emotion as a distortion ①to be eliminated from otherwise rational calculation, an obstacle standing between decision-makers and their true self-interest. More recent research, however, suggests that emotion ②function not merely as noise but as an integral component of sound judgment, one that supplies information conventional reasoning alone cannot readily access. Individuals who, due to specific neurological conditions, lose the capacity to experience emotion while retaining otherwise normal cognitive abilities frequently ③struggle to make even simple decisions, spending excessive time weighing options that most people resolve almost instantly through a felt sense of what seems right. This observation suggests that emotional responses often ④function as rapid heuristics, allowing individuals to bypass exhaustive deliberation by relying on accumulated affective associations built from past experience. Financial regulators have begun incorporating this understanding into policy design, recognizing that decisions made under conditions of acute emotional arousal often ⑤depart substantially from the measured judgment that individuals would exhibit under calmer circumstances.

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 Mina graduated from college five years ago, she had never even heard the term "data scientist." After graduation, she ①struggled to find a job that matched her interests, since most companies did not fully understand what her skills were worth. Everything changed when a small tech startup hired her to ②analyze massive amounts of data. Mina quickly discovered that she loved turning raw numbers into insights that helped real people make ③worse decisions. Within two years, demand for professionals like her had ④exploded, as companies in every industry realized how valuable data could be. Today, Mina ⑤leads a team of ten analysts, mentoring young graduates.

Automation is transforming labor markets more ①quickly than economists predicted a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable ②precision. This shift does not simply eliminate jobs; it also creates roles that never existed before, so technicians who maintain robotic equipment are now in high ③demand. Companies that invested early in automation often report steady increases in productivity, since machines handle repetitive tasks while employees focus on ④creative problem-solving. Without proper retraining support, the benefits of automation may not be shared fairly, ⑤narrowing inequality between skilled and unskilled labor.

When I joined the school broadcasting club two years ago, I only wanted to spend time with friends who shared my interests. Gradually, however, the club became something much more ①meaningful. I learned how to write short scripts, operate basic cameras, and edit simple video clips for school events. Our club also produced a short documentary about a local market, which taught me how much planning goes into even a ②brief video. Working with teammates who had different strengths showed me that good media projects rarely depend on ③one person alone. Through these experiences, I slowly realized that I wanted to ④avoid studying media production in college. What began as a casual after-school activity ended up ⑤shaping a clear direction for my future career.

The gig economy has grown ①rapidly over the past decade, as digital platforms connect customers directly with independent workers. This model offers clear advantages: workers can choose when and how much they work, providing valuable ②rigidity that traditional employment rarely allows. However, gig workers often ③lack benefits such as health insurance and paid leave, which full-time employees typically receive. Because their income can ④fluctuate sharply from month to month, many gig workers struggle to plan their finances confidently. Governments therefore face growing pressure to ⑤protect independent workers through new policies.

When choosing a future career, students often face a common question: should I follow what I love, or what I am good at? Passion can provide strong motivation, but loving an activity does not always mean a person will become skilled at it professionally. Natural talent can lead to quick success, but without genuine interest, that success may eventually feel empty or exhausting. Career experts suggest ___________ instead of choosing only one side. Finding this balance takes time and self-reflection, but it often leads to a more satisfying and sustainable career.

As private companies develop the technology to mine asteroids for rare metals and water, a legal question once confined to science fiction has suddenly become urgent: who, if anyone, owns the resources of outer space? (A) Some governments have already passed domestic laws granting their own companies rights to material mined in space, a move other nations view as a unilateral attempt to settle a shared question. (B) Existing international treaties state that no nation may claim sovereignty over celestial bodies, but they say remarkably little about whether a private company may extract and sell what it finds there. (C) Supporters of space mining argue that new resources could ease shortages on Earth, while critics warn that treating space as an open frontier for extraction risks repeating past mistakes.

주어진 문장: This constant awareness of human presence is what distinguishes cobots from older industrial machines. Modern factories increasingly rely on collaborative robots, often called cobots, which are designed to work safely alongside human employees. ( ① ) Unlike traditional industrial robots that operate behind safety cages, cobots use sensors to detect nearby workers and adjust their movements accordingly. ( ② ) This technology allows humans and machines to share the same workspace without the risk of dangerous accidents. ( ③ ) In practice, cobots typically handle repetitive or physically demanding tasks, while human workers focus on tasks that require judgment and fine motor skills. ( ④ ) This division of labor increases overall efficiency, since each side contributes what it does best. ( ⑤ ) Manufacturers who have introduced cobots report fewer workplace injuries and higher worker satisfaction.

Watching myself on the recording afterward was even more uncomfortable than facing the camera live. Last month, I attended a three-day career camp during summer vacation. ( ① ) On the first day, I chose the broadcasting workshop, where students practiced writing short news scripts and reading them in front of a camera. ( ② ) It was harder than I expected, since staying calm while a camera recorded my every move felt strange at first. ( ③ ) By the second day, however, I began to enjoy the challenge, and my confidence grew with each attempt. ( ④ ) The instructors, who all had real broadcasting experience, gave detailed feedback rather than simple praise, which helped us improve quickly. ( ⑤ ) On the final day, each team presented a short news segment to the entire camp.