영어 모의고사 (자동 편성)

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster and, in some trials, more accurately than experienced radiologists. Patients understandably welcome any technology that catches disease earlier, yet the growing reliance on these tools raises an uncomfortable legal question that hospitals ① have only begun to address. When an AI system misses a diagnosis that a human doctor would likely ② have caught, responsibility becomes difficult to assign. The doctor may argue that they simply trusted a tool the hospital ③ required them to use, the hospital may argue that the software company guaranteed its accuracy, and the software company may argue that no algorithm can ④ expect to be perfect. Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party ⑤ to hold accountable.

For most of last year, Junho ①refresh his social media feed constantly, terrified of missing a party, a trending meme, or gossip among his friends. This restless anxiety, ②often called FOMO, or the fear of missing out, left him exhausted and strangely unsatisfied even after hours of scrolling. One weekend, his phone battery died during a hiking trip, and, to his surprise, he actually ③enjoyed the quiet afternoon without notifications interrupting his thoughts. Curious about this unexpected calm, Junho began ④deleting social apps for a few hours each day, gradually extending the breaks as weeks passed. Instead of dreading what he might be missing, he started noticing small pleasures, such as finishing a book or ⑤having an uninterrupted conversation with his family.

Self-driving technology is advancing rapidly, and its impact on the transportation industry ①is becoming increasingly visible. Companies are testing autonomous trucks ②that can travel long distances without human drivers, potentially transforming how goods move across countries. Millions of professional drivers worry about ③lose their jobs as automation spreads through the industry. Experts predict that certain driving jobs, particularly long-distance trucking, may ④shrink significantly within the next two decades. New roles are also emerging, including remote vehicle operators who monitor fleets of autonomous trucks and technicians ⑤who maintain the complex sensors these vehicles depend on.

Marketers have long recognized that perceived scarcity, the sense that a product or opportunity is available only in limited quantity or for a limited time, can dramatically increase its ①desirability, even when the item's intrinsic qualities remain entirely unchanged. This phenomenon, known as the scarcity effect, operates on a simple psychological principle: when something appears ②easy to obtain, people tend to infer that it must be valuable, since truly worthless items rarely generate genuine competition for possession. A retailer who labels a product as "limited edition" or displays a countdown timer beside a discounted offer exploits this inference, prompting customers to make ③hurried purchase decisions they might otherwise postpone or reconsider. Experimental studies confirm that identical products are rated as more desirable and often command ④higher prices when framed as scarce than when the same products are presented as widely and continuously available. Consumers who later reflect calmly on such purchases frequently discover that the item's actual usefulness fell well short of the ⑤urgency they experienced at the moment of decision.

Picture a woman who receives a plain ceramic mug as a free gift at a conference and, later that afternoon, ① refuses to sell it for anything less than triple its price in the gift shop downstairs. Before she owned the mug, she would never have paid extra for it; once it became hers, however, its value in her mind ② declined sharply, simply because she now possessed it. Researchers have ③ repeatedly observed this pattern across many everyday objects, from coffee mugs and concert tickets to office chairs and old furniture inherited from relatives. Owners ④ consistently demand more money to give something up than buyers are willing to offer for that very same item, revealing a curious asymmetry rooted purely in possession itself. Some economists argue that this effect explains why negotiations over inherited property so often ⑤ collapse, since each side quietly attaches a different value to what it currently holds.

Jiho had always assumed he would join a large corporation after graduation, just as his parents expected. During his final year of university, however, he joined a small student team building an app that connected local farmers directly with restaurants. After nearly failing twice, the team secured a small investment that allowed them to hire their first employee. Looking back, Jiho believes that ___________.

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. (A) 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. (B) 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. (C) The resulting curve revealed a consistent pattern. Forgetting proceeds rapidly during the initial hours following learning, then gradually decelerates until the rate of loss becomes almost imperceptible. 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.

Every morning, our broadcasting club airs a short news program for the entire school. Last Tuesday, I was chosen to read the weather report for the very first time. (A) My partner Minho, who was sitting beside me, quickly slid the script closer to me. I took a deep breath and calmly continued reading from where I had stopped. (B) My hands were shaking as the red light on the camera turned on. Halfway through my sentence, I suddenly forgot the next line completely. For a few seconds, only silence filled the studio, and I could hear my own heartbeat. (C) Somehow, my voice sounded steadier than I expected, and I finished the report smoothly. After the broadcast ended, several classmates told me they had not even noticed the pause. That morning taught me that small mistakes rarely matter as much as we fear.

주어진 문장: At first, she was not sure whether joining a new group would really help, but she decided to give it a try. When Suji transferred to a new school in March, she knew no one in her class and felt lonely during lunch and breaks. Her homeroom teacher suggested joining a club to make friends more easily. ① Suji signed up for the photography club, though she had never taken photography seriously before. ② At the first meeting, older members taught her how to adjust a camera and find a good angle. ③ Because everyone shared photos and gave friendly feedback each week, Suji gradually felt more comfortable with the other members. ④ One rainy afternoon, a fellow member, Hana, invited her to photograph the flooded schoolyard together. They laughed while trying to keep their cameras dry, and that moment grew into a real friendship. ⑤ By the end of the semester, Suji had a small group of friends who understood her sense of humor.

For this reason, many economists argue that the real challenge is not the robots themselves, but the speed at which society is expected to adapt to them. Factories that once employed hundreds of workers on an assembly line now run with a fraction of that staff, as robotic arms handle tasks that used to require human hands. ( ① ) Economists have long debated whether this shift destroys jobs or simply transforms them. ( ② ) Historical evidence offers some comfort: previous waves of automation eventually created new categories of work that no one had predicted. ( ③ ) However, critics point out that earlier transitions unfolded over generations, giving workers time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. ( ④ ) A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. ( ⑤ )