영어 모의고사 (자동 편성)

During exam season last year, our school counselor ① introduced a weekly drop-in session where students could paint freely for thirty minutes without any instructions or grading. I attended mostly out of curiosity, ② expecting a relaxing but ultimately pointless activity, since I have never considered myself artistically talented. To my surprise, filling a blank page with color, without worrying whether the result looked good, ③ left me noticeably calmer than scrolling through my phone during the same amount of free time. The counselor explained that art therapy does not aim to produce impressive paintings; it simply gives people a way ④ express feelings that are difficult to put into words, especially frustration or anxiety that builds up silently during a stressful week. Several classmates who initially came only to avoid studying kept ⑤ returning on their own afterward.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions ①have emerged about how that information should be handled. Employees who work with big data now face responsibilities ②that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Some argue that strict regulations should govern data collection, even if such rules ③slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can ④protects consumers just as effectively without stifling progress. Universities have begun adding data ethics courses to computer science programs, ⑤recognizing that future employees will need to balance innovation with responsibility.

As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills ①remains valuable in the future. AI can now analyze data, generate text, and even diagnose certain medical conditions ②with impressive accuracy. However, most researchers argue that AI still struggles with tasks ③requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. A machine can recommend a treatment plan based on statistics, but it cannot comfort a frightened patient the way a compassionate nurse ④can. For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence, ⑤arguing that these human capabilities will become more valuable.

Jina used to fill her apartment with items she rarely used, believing that owning more things would make her happier. After moving twice within a single year, she grew exhausted from packing boxes filled with clothes she had never worn and gadgets she had forgotten she ①owned. Frustrated, she decided to try a minimalist lifestyle, ②keeping only objects that served a clear purpose or brought her genuine joy. At first, friends ③questioned why she was giving away perfectly good furniture and clothing. Gradually, however, she noticed that her small apartment ④felt calmer and easier to manage. Inspired by her experience, several of her friends began ⑤adopt similar habits, questioning purchases they once made without thinking.

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.

Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. These systems promise ① efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. However, this reliance on historical data creates a ② troubling risk. If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and ③ loudly reproduce it, even when no one intended discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias ④ difficult to detect until an outside audit reveals it. Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very ⑤ beginning.

Daniel's career reflects how much the space industry has changed since he was a child. (A) As a result, he came to believe that opportunities in space exploration were no longer limited to a small number of government scientists. (B) By the time he entered university, private companies had begun launching satellites and building reusable rockets. (C) This shift eventually led him to join a startup developing lunar landing equipment, a job that barely existed when he first imagined his future.

The pace of technological change has forced professionals to rethink how they approach their careers. (A) As a result, many now treat learning as an ongoing part of their careers rather than something that ends at graduation. (B) A skill considered valuable just five years ago may already be outdated today, forcing workers to update their knowledge constantly. (C) Naturally, some professionals find this constant demand for new skills stressful and difficult to manage alongside other responsibilities.

주어진 문장: This influence is so strong that many companies actively encourage customers to leave feedback after each purchase. Before making a purchase, most online shoppers now read reviews written by previous customers rather than relying solely on advertisements. ( ① ) These reviews, posted by people who have no financial connection to the seller, often seem more trustworthy than promotional claims. ( ② ) Research shows that products with a large number of positive reviews sell significantly more than those with few or no reviews at all. ( ③ ) However, fake reviews written by paid writers or even automated programs have become a serious problem, undermining consumer trust. ( ④ ) Platforms that fail to detect these fraudulent posts risk losing credibility with their users. ( ⑤ ) Ultimately, the power of online reviews depends entirely on their perceived honesty.

However, even confident swimmers can get into trouble in open water. Summer is the best time to enjoy swimming pools, rivers, and beaches with family and friends. ( ① ) First, always swim in areas that are supervised by a lifeguard, and never swim alone, even if you are a strong swimmer. ( ② ) It is also important to check the weather and water conditions before entering the water, since strong currents and sudden storms can appear without warning. ( ③ ) Wearing a life jacket in open water is essential, especially for children and beginners. ( ④ ) Taking regular breaks during long swims helps prevent exhaustion. ( ⑤ ) Learning basic rescue skills is another good habit that could help you save a life someday.