영어 모의고사 (자동 편성)

Anyone who has tried to name the ink color of a word like red printed ① in blue letters knows how surprisingly difficult the task can feel. This everyday struggle, known as the Stroop effect, deserves ② more attention than casual curiosity grants it, because it reveals something fundamental about how the mind allocates its limited resources. Reading a familiar word is an automatic process practicing ③ so extensively since childhood that it proceeds almost involuntarily, whereas naming a color requires deliberate, controlled attention. When these two processes point toward conflicting answers, the automatic pathway tends to intrude upon the controlled one, slowing ④ responses and increasing errors. Educators should not dismiss this delay as a trivial curiosity confined to laboratories, since the same competition between habit and intention underlies far more consequential situations, such as a driver's struggle to resist checking a phone despite knowing the danger. Recognizing how automatic responses can hijack conscious intentions is essential for designing ⑤ environments, from classrooms to highways, that support rather than undermine our efforts at self-control.

Sensors buried in the soil now report moisture levels in real time, drones survey entire fields for signs of disease within minutes, and automated systems adjust irrigation without a farmer ever ① walking the rows. For large operations with the capital ② to invest, these tools have measurably increased yields while reducing water waste, addressing two problems that traditional farming has struggled with for generations. Smaller family farms, however, often cannot afford the upfront cost of this equipment, and some worry that the gap between high-tech and traditional operations will only ③ widen as the technology advances further. There is also a quieter cultural cost that rarely appears in productivity reports: generations of farming knowledge, passed down through direct observation of soil, weather, and crops, risk ④ being replaced by dashboards and automated alerts that few young farmers ⑤ teaching to question.

A rational approach to decision-making dictates that only future costs and benefits should influence a choice, since resources already spent cannot be ①recovered regardless of what is decided next. In practice, however, people routinely allow such irrecoverable expenditures, known as sunk costs, to shape their subsequent decisions, a pattern referred to as the sunk cost fallacy. A moviegoer who finds a film thoroughly ②disappointing after the first thirty minutes will often remain in the theater until the credits roll, reasoning that leaving early would somehow waste the money already spent on the ticket. Organizations exhibit the same fallacy on a larger scale: a company that has invested heavily in a failing project frequently ③abandons funding it, arguing that stopping the project now would render the prior investment meaningless. Yet continuing to invest in a venture destined to fail merely adds new losses to old ones, ④compounding the very waste the decision-makers hoped to avoid. Economists therefore urge decision-makers to evaluate each choice based solely on its prospective outcomes, treating past expenditures as ⑤irrelevant to the decision at hand.

Social media platforms rarely show users a neutral stream of information. Instead, recommendation algorithms are ① optimized 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 ② common than they actually are, simply because those opinions dominate their feed. Researchers describe this as a ③ distorted 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 ④ drop, which reveals an uncomfortable truth about the underlying business model. This ⑤ confirms 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.

Have you ever wondered why some people stay motivated while others give up quickly? The answer often lies in ___________. When people have no specific goal, they usually feel confused about where to start, and their interest fades within days. For example, a student who simply decides to 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, knows exactly what to do every day. This clarity creates strong motivation because the brain naturally focuses on a clear target. Setting a specific goal is one of the most effective ways to build lasting motivation.

The Pomodoro Technique was originally developed using a simple kitchen timer shaped like a tomato. (A) Its creator discovered that dividing study time into short, timed intervals made it far easier to maintain concentration than studying for hours without pause. (B) Today, many productivity apps replicate this same twenty-five-minute cycle, allowing users to track their focused sessions digitally. (C) Based on this discovery, he designed a structured cycle of focused work followed by brief rest, which eventually became known worldwide.

This dopamine-driven cycle explains why so many people check their phones dozens of times throughout the day without even realizing it. (A) Neuroscientists have found that the anticipation of a possible reward, not the reward itself, produces the strongest dopamine response in the brain. (B) In other words, the brief moment of waiting to see how many likes a post receives can feel more exciting than the actual number that appears. (C) Because this anticipation is so powerful, technology designers intentionally build delays and randomness into how notifications are delivered.

주어진 문장: This is because the brain naturally pays more attention to things that are connected to a person's goals. Many students who reach their goals share one habit: they picture the goal clearly before they even start working. ( ① ) This process, called visualization, means imagining a goal in detail, often by drawing pictures or writing specific descriptions. ( ② ) For example, a student who dreams of studying abroad might make a board filled with photos of a foreign campus and a list of steps to get there. ( ③ ) Seeing these images every day keeps the goal fresh in mind and reminds the student why the effort matters. ( ④ ) Visualization also helps people notice small opportunities they might otherwise miss. ( ⑤ ) In addition, picturing success in advance can lower anxiety, because the mind grows familiar with the process instead of fearing an unknown outcome.

주어진 문장: This constant tracking allows algorithms to build a detailed profile of each user's interests over time. Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. ( ① ) Based on this data, algorithms predict what each individual is most likely to enjoy and quietly prioritize similar content in future results. ( ② ) As a result, two people who type the same search query can receive strikingly different results, each tailored to personal history. ( ③ ) This automatic filtering happens silently, without users ever deciding to limit what they see. ( ④ ) Consequently, many people gradually lose access to viewpoints that challenge their existing beliefs, even though they never intended to avoid them. ( ⑤ ) Pariser warned that this invisible curation could weaken democratic debate by narrowing public discussion. Therefore, some experts argue that platforms should reveal how content is filtered, letting users knowingly escape their own bubbles.