영어 모의고사 (자동 편성)

The gig economy, in which people take on short-term or freelance jobs, ①has grown rapidly over the past decade. Digital platforms now connect customers directly with drivers, designers, and writers, ②allowing workers to choose when and how much they work. Businesses, meanwhile, can hire help only when they ③actually need it. For many young people entering the job market, gig work provides valuable flexibility ④that traditional employment rarely allows. However, gig workers often lack benefits such as health insurance, which full-time employees typical ⑤receive.

Setting a goal such as 'I will study harder' rarely leads to ①meaningful improvement. According to psychologists Edwin Locke and Gary Latham, ②specific and challenging goals produce far better performance than vague or easy ones. This idea, known as goal-setting theory, suggests that ③clear targets direct attention and sustain effort over time. To apply this theory effectively, many educators recommend the SMART framework, which requires goals to be Specific, Measurable, Achievable, Relevant, and Time-bound. For instance, a student following this framework might say, 'I will memorize thirty new words every week for two months.' Because the goal includes a clear number and a deadline, progress becomes easy to ④track and evaluate. Challenging goals also tend to increase motivation, since people often work harder when a target feels meaningfully ⑤easy rather than trivially simple.

When choosing a future career, students often face a common question: should I follow what I love, or what I am good at? Passion can provide strong ①motivation, pushing a person to practice for hours without feeling tired. However, loving an activity does not always mean a person will become ②unskilled at it professionally. On the other hand, natural talent can lead to quick success, but without genuine interest, that success may eventually feel ③empty or exhausting. Career experts suggest looking for an ④overlap between the two instead of choosing only one side. Finding this balance takes time and self-reflection, but it often leads to a more ⑤satisfying and sustainable career.

Devices that translate brain activity directly into digital commands have moved from laboratory experiments to real medical use, allowing paralyzed patients to control a robotic arm or type a message using thought alone. As the technology ①improves, some developers envision a future in which brain-computer interfaces extend beyond restoring lost function toward enhancing healthy minds. This prospect raises a philosophical question that medicine alone cannot answer: if a device can alter memory, mood, or decision-making, at what point does the assistance stop being a tool and start ②reshaping the very identity of the person using it. Neuroethicists argue that mental privacy, the ability to keep one's own thoughts ③exposed to external access or manipulation, may need to be recognized as a fundamental right before this technology becomes ④widespread. This concern is likely to grow ⑤more urgent as the devices become more powerful.

Facing a shortage of caregivers and a rapidly aging population, several countries have begun deploying robots designed to remind elderly residents to take medication, monitor for falls, and even offer simple conversation throughout the day. Early trials show that many residents report ①reduced loneliness, particularly when a robot's presence allows an overworked human staff member to spend a few extra minutes with each patient rather than rushing between rooms. Critics, however, worry that this framing quietly ②shifts the goal of care: instead of asking how technology can support human connection, institutions may come to treat a robot's companionship as an ③unacceptable substitute for it. Advocates for the elderly argue that robots should be evaluated strictly as tools that free up human time for human contact, ④never as a lower-cost replacement for the contact itself, since human presence remains ⑤irreplaceable.

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.

Hyperbolic discounting has direct implications for how retirement savings programs ought to be designed. (A) If employees are asked at the moment of hiring whether they wish to increase their contribution rate at a specific point in the future, many agree readily, since the sacrifice feels distant and therefore painless. (B) When that future date eventually arrives, however, the automatic increase proceeds smoothly precisely because the decision was locked in before the immediate discomfort of a smaller paycheck became salient. (C) This design, sometimes described as committing one's future self in advance, effectively exploits the very inconsistency that hyperbolic discounting predicts, turning a psychological weakness into a practical advantage.

Interviewing people who already work in a field you are interested in can be very helpful. (A) They can also share honest advice about the challenges of the job, which you rarely find in books. (B) Such interviews let you hear firsthand stories about what a career is really like. (C) For this reason, many career guidance classes now include interview projects as part of their curriculum.

This happens because the eyes remain remarkably responsive to light even after darkness falls, cueing the brain that it is still daytime. Smartphones, tablets, and computer screens all emit a significant amount of blue light, a short-wavelength light that our eyes are especially sensitive to. ( ① ) During the day, exposure to blue light from the sun helps keep us alert and mentally sharp, which is generally beneficial. ( ② ) At night, however, the same wavelength can interfere with the body's natural preparation for sleep. ( ③ ) Specialized cells in the retina detect blue light and send signals to the brain's internal clock, suppressing the release of melatonin, the hormone that signals it is time to rest. ( ④ ) Studies have found that people who scroll through their phones in bed before sleeping take longer to fall asleep and experience lighter, more easily disrupted sleep than those who avoid screens. ( ⑤ ) Some devices now offer a night mode that shifts the display toward warmer tones, reducing blue light output in the evening. While this feature may help slightly, sleep researchers generally recommend limiting screen use altogether in the hour before bedtime for the best results.

주어진 문장: In fields ranging from medicine to law, these tools now perform tasks that once required years of human training. As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. ( ① ) AI can now analyze data, generate text, and even diagnose certain medical conditions with impressive accuracy. ( ② ) However, most researchers argue that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. ( ③ ) A machine can recommend a treatment plan based on statistics, for instance, but it cannot comfort a frightened patient the way a compassionate nurse can. ( ④ ) Similarly, AI can generate countless design variations, yet it lacks the lived experience that allows humans to judge which idea truly resonates with people. ( ⑤ ) For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence.