영어 모의고사 (자동 편성)

Have you ever wondered why some people stay motivated while others give up quickly? The answer often lies in whether they have a clear goal. When people have no specific goal, they usually feel confused about where ①to start, and their interest fades within days. For example, a student who simply decides ②to study harder this year often loses direction because the plan is too vague. In contrast, a student who sets a clear goal, such as raising an English score by ten points, ③knows exactly what to do every day. This clarity creates strong motivation because the brain naturally ④focus on a clear target. A clear goal also makes progress easy to measure, and noticing small improvements keeps people ⑤encouraged to continue.

The subscription economy refers to a business model ①in which consumers pay a recurring fee to access goods or services rather than owning them outright. One major reason for this growth is convenience, since subscribers no longer need ②to make repeated purchasing decisions once they sign up. Another reason is that companies benefit from predictable revenue, ③what allows them to plan production and marketing more efficiently than with one-time sales. For example, a monthly clothing subscription delivers new outfits automatically, ④saving customers the time and effort of shopping in stores. However, some critics argue that subscriptions encourage people ⑤to pay for services they barely use.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. Employees who work with big data now face ①minimal responsibilities that 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 ②slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can protect consumers just as ③effectively without stifling progress. Most experts agree that professionals handling sensitive data must be trained not only in technical skills but also in ethical ④decision-making. Universities have begun adding data ethics courses, recognizing that future employees will need to ⑤balance innovation with responsibility.

When Suji transferred to a new school in March, she knew no one in her class and felt ①lonely during lunch and breaks. Her homeroom teacher suggested joining a club to make friends more easily. Suji signed up for the photography club, though she had never taken photography seriously before. At the first meeting, older members taught her how to adjust a camera and find a ②good angle. Because everyone shared photos and gave ③friendly feedback each week, Suji gradually felt more ④uncomfortable with the other members. One rainy afternoon, a fellow member, Hana, invited her to photograph the flooded schoolyard together. They laughed while trying to keep their cameras dry, and that moment grew into a real ⑤friendship.

One common method, known as social proof, shows images of many people using or enjoying a product, suggesting that its ①popularity guarantees quality. Another technique appeals to authority, featuring experts or professionals endorsing a product to make it seem more ②credible and trustworthy. Repetition also plays a significant role, since seeing the same advertisement multiple times ③decreases familiarity, which people often mistake for reliability. Researchers studying consumer behavior have found that viewers who understand these techniques are less easily ④influenced by them, since awareness disrupts the automatic psychological response advertisers depend on. For this reason, media literacy programs increasingly teach students to ⑤recognize persuasive techniques hidden within everyday advertisements.

Wearable devices that track sleep have become enormously popular, promising a detailed breakdown of light, deep, and REM sleep each night. These gadgets typically rely on movement sensors and heart rate monitors to estimate sleep stages, since directly measuring brain activity would require equipment found only in a sleep laboratory. This indirect approach, however, introduces significant uncertainty. Independent studies comparing wearable data with polysomnography, the gold-standard method used in clinical sleep labs, have found that _______________. Some trackers overestimate deep sleep, while others underestimate the amount of time spent in REM sleep, and the margin of error can vary widely between brands. Despite these limitations, many users have come to treat the nightly score generated by their device as an objective medical verdict, sometimes experiencing anxiety when the number falls below what they expect, a phenomenon researchers have begun calling orthosomnia.

Hospitals are increasingly adopting AI tools that can scan medical images and flag potential tumors faster than experienced radiologists. When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. The doctor may argue that they simply trusted a required tool, the hospital may blame the software company, and the software company may argue that no algorithm can be expected to be perfect. As a result, _______________.

When Daniel was a child, he dreamed of becoming an astronaut, yet he assumed such careers belonged only to a handful of government scientists. During an internship, he helped design a small satellite intended to monitor crop health from orbit, a project that combined engineering with agricultural science. He realized that ___________. After graduation, Daniel joined a startup developing lunar landing equipment, a job that barely existed when he first imagined his future career.

Yuna and I decided to set our New Year goals together instead of separately, and our journey had several stages. (A) Thanks to her encouragement, I remembered why I had started, and we both kept going until we reached our goals by spring. (B) At first, we each wrote down our own goal and agreed to text each other every night about our progress. (C) After a couple of weeks, I began to feel tired and wanted to quit, but Yuna noticed my short replies and called me.

Few of these later buyers, however, possess any independent basis for judging whether the asset's price still bears any relation to its underlying value. A speculative bubble typically begins with a genuine, defensible reason for optimism, such as a promising new technology or an unusually favorable economic environment. ( ① ) Early investors who recognize this genuine opportunity purchase the asset and, as expected, often see its price rise accordingly. ( ② ) As word of these early gains spreads, a second wave of investors enters the market, drawn less by independent analysis than by the simple observation that the price has already climbed. ( ③ ) They are, in effect, purchasing confidence rather than value, trusting that the crowd's continued enthusiasm will sustain or further elevate the price. ( ④ ) This reliance on collective momentum rather than fundamental analysis is precisely what transforms a reasonable initial rally into an unsustainable bubble. ( ⑤ ) When the momentum eventually falters, as it inevitably must, the absence of any solid fundamental foundation leaves the price with nothing to support it.