영어 모의고사 (자동 편성)

An echo chamber refers to an online environment where people are mainly ①exposed to opinions that already match their own beliefs. This phenomenon occurs because social media algorithms tend to ②recommending content similar to what users have previously liked or shared, gradually narrowing the range of perspectives they encounter. As a result, individuals inside an echo chamber rarely engage with viewpoints ③that challenge their existing assumptions, which allows their original beliefs to grow increasingly extreme over time. For example, someone who frequently reads articles supporting one political party may begin to see the opposing party as entirely unreasonable, ④having never seriously considered its arguments. Political polarization, a significant issue in many countries today, is often ⑤linked to this pattern of selective exposure.

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan ①that adjusts itself to each individual student in real time. As a student answers practice questions, the app tracks which concepts are mastered and which remain shaky, then quietly ②reshuffles the next set of problems to target the weaker areas. Early studies suggest that this personalized pacing can help struggling students ③catch up faster than a one-size-fits-all worksheet ever could. However, critics caution that an app cannot replace the encouragement, humor, and flexibility a human teacher brings to a lesson, especially when a student ④frustrating rather than simply behind. There is also a subtler concern: students who grow used to instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically ⑤provide.

As millions of people now earn income through delivery apps and ride-hailing platforms, questions about their legal status ①have become increasingly urgent. Most platform workers are classified as independent contractors rather than employees, ②which means they are not entitled to minimum wage guarantees or paid sick leave. Companies favor this arrangement because it allows them ③to avoid the costs associated with hiring full employees. Worker advocates, however, argue that many platform workers ④depend on these jobs as their primary source of income. Several countries have recently begun reconsidering their labor laws, ⑤proposed new categories that would grant workers some protections.

Behavioral economists use the term temporal discounting to describe how people ①undervaluing future rewards simply because those rewards are not immediate. This tendency explains why a student might choose to watch videos tonight rather than study for an exam that remains several weeks away, even though studying ②offers a far greater long-term benefit. A distant reward, no matter how valuable, feels psychologically smaller than a small reward ③available right now. This bias contributes to procrastination, since future consequences rarely feel urgent enough ④to motivate immediate action. To counter this tendency, students should convert distant goals into smaller, near-term milestones that feel more emotionally real. Setting weekly checkpoints rather than a final deadline can make future benefits feel closer and more concrete. Teachers and parents should provide immediate, meaningful feedback, since prompt recognition helps bridge the gap between present effort and delayed reward, ultimately ⑤reducing the urge to postpone tasks.

These platforms allow individuals to sell clothing, electronics, and furniture directly to other consumers, cutting out traditional retail markups entirely. For younger buyers especially, purchasing secondhand items has become associated with ①resourcefulness rather than financial necessity. However, buying secondhand carries certain ②risks, since items cannot always be inspected closely before purchase, and some sellers misrepresent the condition of their products. To address this problem, many platforms now offer buyer protection programs and ③vague rating systems for sellers. As ④trust in these systems continues to grow, secondhand trading is expected to ⑤expand even further in the coming years.

For centuries, dreams have ①fascinated scientists and philosophers alike, yet no single theory fully explains why the sleeping brain generates such vivid and often bizarre experiences. One prominent idea suggests that dreaming helps the brain process emotional experiences, replaying difficult events in a ②safe, low-stakes environment so that their emotional intensity gradually fades. Another theory proposes that dreams serve a more practical function, allowing the brain to ③ignore responses to threats without any real danger, a kind of nightly simulation that may have offered early humans a survival advantage. Still other researchers argue that dreaming is simply a byproduct of the brain organizing memories, with vivid imagery arising as the mind sorts through the day's ④information rather than serving any independent purpose of its own. Because these theories rest on indirect evidence, none has been ⑤conclusively proven.

Soojin started posting short cooking videos on her phone during her last year of high school, never imagining it could become a career. At first, only a handful of friends watched her clips, and she nearly ①quit after several months without noticeable growth. She kept experimenting, however, adjusting her editing style and posting more ②consistently despite the discouraging numbers. Everything changed when one video demonstrating a simple recipe unexpectedly reached millions of viewers overnight. Within a year, Soojin was earning ③more from her online content than most entry-level jobs would have paid her. Still, she quickly learned that being a creator demanded ④minimal work, since algorithms rewarded frequent uploads and audiences expected fresh content daily. Looking back, Soojin realizes that persistence, rather than luck alone, transformed her hobby into a ⑤demanding profession.

Many people believe that building a new habit requires strong willpower or motivation. However, psychologist BJ Fogg argues that habits form more easily when a behavior itself becomes simple to perform. His theory, called the Fogg Behavior Model, states that ___________. When motivation is low, the task must be made extremely easy, or it will not happen at all. For instance, a person who wants to exercise daily succeeds more often by committing to one push-up than to a long workout. Fogg calls this idea the law of least effort, since people naturally choose the option requiring the least energy. A student who wants to read more might leave a book open on the desk rather than setting a vague goal. By lowering the required effort, people reduce the ability barrier and make steady action far more achievable.

Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. This theory explains that every habit begins with a cue, a signal that tells the brain to start an automatic behavior. The brain then performs a routine, which is the action itself, whether physical or mental. Finally, the brain receives a reward, a positive feeling that makes it want to repeat the same behavior. For example, a notification sound can act as a cue that leads a student to check a phone, and the relief from boredom becomes the reward. Similarly, opening a refrigerator out of habit rather than hunger shows how a routine can run without conscious thought. Because this loop operates automatically, breaking a bad habit requires ___________. Understanding this structure helps people redesign daily patterns more effectively than relying on willpower alone.

주어진 문장: The financial and reputational damage caused by a single attack can be enormous. As more businesses move their operations online, cyberattacks have become one of the most serious threats facing modern companies. ( ① ) Hackers now target everything from small retail websites to massive financial institutions, stealing sensitive data or demanding ransom payments. ( ② ) In response, demand for cybersecurity professionals has surged across nearly every industry. ( ③ ) These specialists design systems that detect suspicious activity, patch vulnerabilities before criminals can exploit them, and train employees to recognize phishing attempts. ( ④ ) Universities have responded by creating specialized degree programs, while many companies now offer scholarships to attract students into this growing field. ( ⑤ ) Despite this expansion, experts estimate that millions of cybersecurity positions worldwide remain unfilled.