영어 모의고사 (자동 편성)

Last month, I ①attended a three-day career camp during summer vacation. The camp offered workshops in fields such as broadcasting, cooking, and environmental science. On the first day, I chose the broadcasting workshop, ②where students practiced writing short news scripts. It was harder than I expected, since staying calm while a camera ③recorded my every move felt strange at first. The instructors, who all had real broadcasting experience, gave detailed feedback rather than simple praise, ④that helped us improve quickly. On the final day, each team ⑤presented a short news segment to the entire camp.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of ①which was created without the artists' knowledge or consent. Supporters of the technology argue that this process ②resembles how a human student learns by studying the masters, absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③breaks down at scale: a single AI model can absorb millions of works in days and then generate outputs that directly compete with the very artists whose work ④trained it. Courts around the world are now ⑤ask to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Exercise does far more than strengthen muscles and the heart; it also produces ①measurable changes within the brain itself. During sustained physical activity, the body releases a protein called brain-derived neurotrophic factor, which supports the growth of new neurons and ②strengthens connections between existing ones, particularly in regions associated with memory and learning. Studies comparing physically active students to sedentary peers have repeatedly found that the active group performs ③better on tests of attention and problem-solving, even when the exercise session ends well before the test begins. Researchers believe that exercise increases blood flow to the brain, delivering oxygen and nutrients more efficiently, while also ④raising levels of stress hormones that can interfere with clear thinking. Interestingly, aerobic activities such as running or swimming appear to produce more ⑤pronounced cognitive benefits than purely strength-based training.

Companies argue that this approach benefits consumers by showing advertisements that are more ①relevant to their actual interests rather than random, generic promotions. However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how ②extensively their behavior is being monitored. Furthermore, personalized advertising can trap users in a narrow bubble, ③limiting their exposure to alternatives. Supporters counter that consumers who dislike targeted ads can simply adjust their privacy settings, though ④few people actually take the time to do so. Given these competing concerns, policymakers must strike a ⑤careless balance between allowing innovation and protecting individual privacy rights.

Behavioral economists have long observed that people tend to feel the pain of losing something more ①intensely than the pleasure of gaining an equivalent amount, a tendency known as loss aversion. Consider an investor who refuses to sell a declining stock, clinging to the hope that its price will eventually ②recover, even when all available evidence indicates that selling and reinvesting elsewhere would be more rational. Such behavior, though it appears ③rational from a purely economic standpoint, becomes understandable once we recognize that the investor is trying to avoid the sharp discomfort associated with realizing a loss. Similarly, consumers often demand a much ④higher price to give up an item they already own than they would be willing to pay to acquire the same item in the first place. As a result, loss aversion frequently pushes individuals toward decisions that ⑤minimize potential regret over losses rather than toward outcomes that maximize their overall welfare.

As technology develops rapidly, many new jobs are appearing that did not exist a decade ago. Data analysts, for example, help companies make decisions based on huge amounts of information. Renewable energy technicians install and repair solar panels and wind turbines. Healthcare is expanding beyond hospitals, creating roles for specialists who design digital health tools for elderly patients. These emerging jobs share one common feature: ___________. Experts predict that future workers will need to keep learning new skills throughout their careers.

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 ___________.

Many people believe that a college major decides a person's entire career path. (A) A history major, for example, might later succeed as a marketer or a policy analyst. (B) However, many graduates actually end up working in fields unrelated to what they studied. (C) This shows that skills developed during study often matter more than the subject itself.

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.

No further reminders, willpower, or repeated decisions are required once the initial commitment has been made. The design of behavioral savings programs deliberately minimizes the number of decisions a participant must make over time. ( ① ) At the moment of hiring, an employee is asked only once whether to commit future salary increases to retirement savings. ( ② ) If the employee agrees, that single decision governs all future contribution increases automatically. ( ③ ) This stands in sharp contrast to conventional savings advice, which typically asks individuals to make a fresh decision to save more each time their income changes. ( ④ ) Because each additional decision creates another opportunity for procrastination or reconsideration, minimizing the number of required decisions substantially increases the likelihood that saving actually occurs. ( ⑤ ) The program's success, in this sense, stems less from persuading people to value saving more than from reducing the number of moments at which they could choose not to.