영어 모의고사 (자동 편성)

The discovery of CRISPR gene-editing technology gave scientists a tool precise enough ① to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases that have resisted treatment for generations. Yet the same precision that makes CRISPR so promising also makes it dangerous in the wrong hands. Editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code ② passed down to every future generation, a decision no single person should ③ allow to make alone. Scientific organizations around the world have therefore drawn a careful line, ④ permitting gene editing to treat disease in existing patients while banning any edit that would be inherited by their descendants. Critics worry, however, that this line will become harder to enforce than it ⑤ is to draw.

The job market has changed dramatically over the past few decades. Many tasks once done entirely by humans are now shared with machines and computer programs. As a result, some traditional jobs have slowly ①appeared, while entirely new positions have emerged to replace them. Workers who once relied on a single skill for their whole career now often need to learn new tools. A graphic designer today must ②understand digital software that did not exist twenty years ago. Adapting to these changes can feel ③stressful, but experts note that workers who stay flexible and keep learning tend to ④succeed regardless of which industry they choose. The ability to adapt may be more valuable than any single specific ⑤skill.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ① decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ② minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③ contradiction: 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 ④ transparent rules before autonomous vehicles are ⑤ forbidden to make such decisions on the road.

As technology develops rapidly, many new jobs are ①appearing that did not exist a decade ago. Data analysts help companies make decisions based on huge amounts of information. Renewable energy technicians install and repair solar panels and wind turbines, meeting the ②shrinking demand for clean power. Healthcare is expanding beyond hospitals, creating roles for specialists who design digital health tools for elderly patients. These emerging jobs ③share one common feature: they combine technical skill with the ability to solve real-world problems. Experts predict that future workers will need to keep learning new skills ④throughout their careers. Staying curious and adaptable may matter ⑤more than choosing a single fixed career path.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work ①decreases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, ②widening the pool of candidates. Critics, however, worry that remote work ③weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel ④isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be hybrid, ⑤combining flexibility with occasional in-person collaboration.

The debate over nudging often centers on a single, deceptively simple question: does saving people from their own cognitive errors amount to genuine assistance or subtle manipulation? (A) Supporters respond that every choice architecture, whether intentionally designed or not, already influences behavior in some direction, so deliberately choosing a beneficial default is preferable to leaving the arrangement to chance or to the interests of profit-driven designers. (B) Opponents of nudging argue that any attempt to steer behavior, however gently, treats citizens as incapable of making sound decisions on their own and therefore undermines the very autonomy it claims to respect. (C) This rebuttal shifts the debate away from whether influence should exist at all and toward the more practical question of who should be trusted to design it and for what purpose.

Hospitals are increasingly adopting artificial intelligence tools that can scan medical images and flag potential tumors faster than experienced radiologists. (A) The doctor may argue that they simply trusted a tool the hospital required them to use, while the hospital may blame the software company instead. (B) Yet the growing reliance on these tools raises an uncomfortable legal question: when an AI system misses a diagnosis, who is responsible? (C) Until legal systems clarify this chain of responsibility, patients harmed by an algorithmic error may find themselves with no clear party to hold accountable.

Career counselors often use simple questions to help students understand themselves. (A) A student who answers "playing music" might be encouraged to explore careers related to sound or performance. (B) For instance, a counselor might ask what activity makes a student lose track of time. (C) In this way, ordinary daily habits can become useful clues for choosing a future career.

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.

Consider the following four strategies before you begin writing. Writing a personal statement can feel overwhelming, but a few simple strategies make the process easier. ( ① ) First, avoid simply listing your achievements; instead, explain what each experience taught you and how it shaped your goals. ( ② ) Second, use specific examples rather than vague statements, since details make your story more convincing and memorable. ( ③ ) Third, keep your tone honest and natural, because reviewers can easily notice writing that sounds forced or overly formal. ( ④ ) Finally, always proofread carefully, since small errors can distract readers from an otherwise strong statement. ( ⑤ ) Remember that a personal statement is a chance to show who you truly are and what you hope to become.