영어 모의고사 (자동 편성)

Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon ①created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. Based on this data, algorithms predict what each individual is most likely ②to enjoy and quietly prioritize similar content in future results. As a result, two people who type the same search query can receive strikingly different results, each ③tailoring to personal history. This automatic filtering happens silently, without users ever ④deciding to limit what they see. Consequently, many people gradually lose access to viewpoints ⑤that challenge their existing beliefs, even though they never intended to avoid them.

When people ①fail to reach a goal, they often feel embarrassed and want to give up. However, the way a person thinks about failure can ②changing what happens next. Some people believe failing means they simply lack ability, ③which leads them to stop trying. Others see failure differently: they treat it as useful information ④that shows what needs to change. For example, a student who fails a math test might later ask the teacher which questions were weak points and ⑤study those areas more carefully.

The human gut hosts trillions of microorganisms whose combined genetic material ① trails that of the human genome itself many times over. Once dismissed as ② passive hitchhikers, these bacteria are now understood to actively shape digestion, regulate immune responses, and even influence the production of chemicals that affect mood and behavior. A microbiome disrupted by antibiotics, poor diet, or chronic stress can leave the gut lining more ③ permeable than it should be, allowing substances to leak into the bloodstream that would normally stay contained. Researchers studying this connection have found that transplanting gut bacteria from a healthy donor into a patient can, in some cases, ④ relieve symptoms of certain digestive disorders that conventional medication had failed to treat. Still, scientists caution that the microbiome varies enormously between individuals, which means a treatment that restores balance in one person's gut may do ⑤ little for someone else's.

Generative AI systems learn to write, draw, and compose by studying ① enormous collections of existing human work, much of which was created without the artists' knowledge or consent. Supporters of the technology argue that this process resembles how a human student learns by studying the masters, ② absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③ holds up perfectly at scale, since a single AI model can absorb millions of works in days. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as ④ infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤ gray zone that satisfies almost no one.

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.

Most students only see the final result, a few ① smooth minutes each morning. Behind that short program, however, broadcasting club members follow a ② relaxed daily routine. Members arrive at school thirty minutes earlier than other students to prepare the studio. They check the microphones, the cameras, and the lighting before anyone else arrives. Meanwhile, the script team ③ finalizes the news script that was written the night before. Once everything is ready, the anchors ④ practice their lines one last time. At exactly eight o'clock, the red light turns on, and the live broadcast begins. During class hours, however, most members return to their regular classroom lessons like everyone else. After school, the club meets again to ⑤ review that morning's recording and discuss any mistakes. Through this daily routine, members slowly learn skills such as teamwork and quick thinking under pressure.

As technology continues to reshape the job market, educators and employers increasingly agree on which skills will matter most in the coming decades. Beyond technical knowledge, employers consistently rank problem-solving and adaptability among the most valuable qualities in job candidates. Schools have begun redesigning curricula to emphasize these competencies, moving away from rote memorization toward project-based learning that mirrors real workplace challenges. Some critics worry that this shift undervalues traditional academic knowledge, but most experts insist that ___________.

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 that assemble products with remarkable precision, and warehouses use automated systems to sort and deliver packages within a few hours. This shift does not simply eliminate jobs; it also creates roles that never existed before. Technicians who maintain robotic equipment are now in high demand, and engineers who design efficient automated systems are highly valued. Companies that invested early in automation often report ___________, since machines handle repetitive tasks while employees focus on creative problem-solving. This transition, however, also raises concerns about workers whose skills quickly become outdated. Policymakers argue that retraining programs are essential to help displaced workers move into emerging fields.

Goffman's original theory focused on face-to-face interaction, but researchers have expanded it to explain behavior on social media. (A) Unlike face-to-face encounters, online platforms allow users unlimited time to edit captions, retouch photos, and delete unflattering content before anyone sees it. (B) This expanded control means that online impression management can be even more deliberate and polished than anything Goffman originally observed in daily conversation. (C) As a result, some scholars argue that today's online performances create unrealistic standards that traditional face-to-face interactions never produced.

Blockchain technology was originally promoted as a way to remove the need for trusted middlemen, allowing strangers to exchange value directly through a shared, tamper-resistant ledger. (A) In practice, however, a small number of large players have come to dominate many blockchain networks, controlling enough power to influence outcomes that were supposed to be decided collectively. (B) In theory, this design distributes power away from any single institution and toward the network as a whole. (C) Critics note a further irony: when something goes wrong, there is often no institution left to appeal to, since the system was designed to eliminate central authority.