영어 모의고사 (자동 편성)

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.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions with ①impressive accuracy. However, most researchers argue that AI still ②struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, for instance, but it can ③easily comfort a frightened patient the way a compassionate nurse can. Similarly, AI can generate countless design variations, yet it ④lacks the lived experience that allows humans to judge which idea truly resonates with people. For this reason, educators increasingly emphasize skills such as collaboration and emotional intelligence, arguing that these human capabilities will become more ⑤valuable as automation spreads.

The metaverse, a network of interconnected virtual worlds, has begun to generate job opportunities that did not ①exist just a few years ago. Avatar designers create digital identities that represent users within these spaces, ②blending artistic skill with technical programming knowledge. Virtual event planners organize concerts, conferences, and product launches entirely within online platforms, reaching audiences that would be ③easy to gather in person. Some analysts remain skeptical, pointing out that the metaverse has not yet attracted the massive user base that early predictions promised. Nevertheless, major companies continue ④investing heavily in this technology, betting that virtual spaces will eventually become as ⑤significant as physical retail venues.

Time-management researchers frequently mention a principle known as Parkinson's Law, which states that work ①expands to fill the time available for its completion. According to this idea, a task that could be finished in one hour will often stretch to fill an entire afternoon if that much time is scheduled for it. Students who set ②vague deadlines frequently experience this effect, spending extra hours refining a report that was already ③complete. Employees given a full week for a simple project may also delay meaningful progress until the final days, even though the actual work requires far ④more effort. This pattern happens partly because people unconsciously adjust their pace to match perceived urgency. Setting shorter, more specific deadlines can ⑤counter this tendency, forcing tasks to fit within a tighter and more realistic window.

Soojin started posting short cooking videos on her phone during her last year of high school, never imagining it could become a career. At first, only a handful of friends watched her clips, and she nearly quit after several months without noticeable growth. Still, she quickly learned that being a creator demanded constant work, since algorithms rewarded frequent uploads and audiences expected fresh content daily. Looking back, Soojin realizes that ___________.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. Instead, it ___________, helping creators experiment faster while leaving final artistic decisions to humans.

Years ago, a small shoe company struggled to compete with larger, well-funded rivals in the market. Its products were solid, but customers rarely remembered the brand after a single purchase. One day, the founder decided to share the story behind the company: how her grandfather had once repaired shoes for factory workers who could not afford new pairs. She began printing this story on every shoebox and posting it across social media. Surprisingly, customers started responding not just to the shoes themselves but to the values the story represented. Sales slowly increased as people felt they were supporting something meaningful rather than simply buying a product. Other companies noticed this shift and began crafting their own narratives, hoping to create similar emotional connections. Eventually, the founder realized that ___________.

Habit researchers often note that people overestimate the role of motivation in daily routines. (A) As a result, they frequently give up soon after starting, blaming themselves for lacking discipline. (B) In contrast, Fogg's framework suggests that shrinking the task itself is more effective than boosting motivation. (C) Because motivation naturally rises and falls, relying on it alone often leads to inconsistent effort.

Jiho's path into entrepreneurship began almost by accident, far from the corporate career his parents had imagined for him. (A) Despite warnings from relatives who considered the plan too risky, Jiho and his teammates decided to delay job applications and pursue the idea further. (B) A class project he joined during his final year gradually evolved into something more serious, as restaurants began placing regular orders through their prototype. (C) That decision eventually paid off, as the team secured a small investment after nearly failing twice.

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.