영어 모의고사 (자동 편성)

Individuals confronted with a set of options frequently ①default to whichever alternative requires no active decision at all, a tendency scholars term the status quo bias. Rather than weighing the merits of each available choice afresh, decision-makers often treat the current arrangement as a reasonable baseline simply because it already exists, even when ②switching would plainly serve their interests better. This pattern becomes especially apparent in contexts where enrollment in a program ③depend on a default setting. When employees must actively opt into a retirement savings plan, participation rates remain stubbornly low; yet when the same plan is presented as automatic unless an employee opts out, participation rises dramatically, despite the fact that the underlying financial terms ④are identical in both cases. Two forces appear to drive this asymmetry: first, the cognitive effort required to evaluate alternatives, and second, an aversion to the potential regret that ⑤might follow an active decision that turns out poorly.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track, ready to be dropped under a video or used as background music for a small business. The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound ①pleasant together, and it ②recombines these patterns into something new rather than copying any single source directly. For independent creators who cannot afford a composer or expensive licensing fees, this has been a genuine ③breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before refining them by hand, while others ④celebrate that a flood of AI-generated background music could quietly push human composers out of smaller, lower-budget projects. ⑤the very jobs many musicians once relied on to build a career.

Social media platforms rarely show users a neutral stream of information. Instead, recommendation algorithms are ①optimized to maximize engagement, and content that provokes strong emotion, particularly outrage, tends to hold attention longer than balanced reporting ever could. Over time, users exposed to a steady diet of emotionally charged content may come to believe that extreme opinions are far more ②common than they actually are, simply because those opinions dominate their feed. Researchers describe this as a ③distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling. Some platforms have experimented with reducing the visibility of outrage-driven content, only to see user engagement ④drop, which reveals an uncomfortable truth about the underlying business model. This ⑤confirms that emotionally extreme content plays little role in keeping the platform profitable.

To ①compensate for their carbon emissions, many individuals and companies now purchase carbon offsets, financial credits that fund projects such as planting trees or building renewable energy plants. The idea is ②unappealing: paying for an equivalent amount of carbon to be absorbed elsewhere should cancel out the harm caused by activities like flying. However, critics argue that this system often functions as a convenient excuse for postponing ③genuine emission cuts rather than achieving them. For example, a newly planted forest may take decades to absorb the promised carbon, and it could later burn down or be cut, erasing any benefit. Moreover, some offset projects would have happened anyway, meaning the credits fund nothing truly ④additional. Experts insist that offsetting should complement, not replace, direct reductions in fossil fuel use if the strategy is to remain ⑤credible.

As artificial intelligence becomes part of everyday life, entirely new job titles are appearing in the workplace. Prompt engineers design effective instructions that help AI programs produce accurate results. AI ethics officers examine whether a company's technology treats users fairly. Human-AI collaboration trainers teach employees how to use AI tools efficiently without depending on them completely. Interestingly, most of these new roles require not only technical knowledge but also strong communication and ethical judgment. This suggests that success in an AI-driven future will depend less on competing with machines and more on ___________.

Soyeon joined an online study group chat where dozens of students planned a class project together every evening. When one member suggested skipping a required survey step to save time, several others quickly agreed, and no one raised any objections. Soyeon privately worried that skipping the survey might weaken their project, but seeing everyone else nodding along, she stayed silent rather than risk sounding difficult. The group proceeded confidently, convinced their shortcut was harmless, until their teacher pointed out serious gaps once the project was submitted. Afterward, Soyeon learned about groupthink, a concept introduced by psychologist Irving Janis, describing how tightly connected groups often suppress doubts in order to maintain harmony and reach quick agreement. She realized that ___________.

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.

Many students give up on their New Year goals because the goals feel too big to handle. For example, becoming fluent in English this year sounds exciting, but it can quickly feel overwhelming. A more effective approach is to ___________. Instead of focusing on the entire year, try setting a goal for just one week, such as learning twenty new words. Once you complete that small step, move on to the next one, and gradually build toward the bigger goal.

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 motivation, but loving an activity does not always mean a person will become skilled at it professionally. Natural talent can lead to quick success, but without genuine interest, that success may eventually feel empty or exhausting. Career experts suggest ___________ instead of choosing only one side. Finding this balance takes time and self-reflection, but it often leads to a more satisfying and sustainable career.

주어진 문장: This small success, in turn, created enough momentum that stopping suddenly felt more difficult than continuing. Jian wanted to become a reader for years, but every time he picked up a thick novel, he felt overwhelmed and quickly closed it. ( ① ) His cousin, who had read dozens of books that year, told him about something called the two-minute rule. ( ② ) This rule states that a new habit should be shrunk to under two minutes, since a smaller starting point removes the friction that usually stops people from beginning. ( ③ ) Instead of committing to a full chapter each night, Jian promised himself only to open a book and read one page. ( ④ ) Some nights he stopped after that single page, but most nights, once started, he kept reading for twenty or thirty minutes without noticing. ( ⑤ ) Because the initial barrier became so small, sitting down no longer felt like a burden requiring willpower. Within three months, Jian had finished five books, proving that reducing friction can matter more than motivation itself.