영어 모의고사 (자동 편성)

Secondhand trading platforms, once considered a niche market for used goods, have grown into a mainstream part of consumer culture. Rising prices for new products, combined with growing awareness of environmental waste, have encouraged many shoppers to consider used items before purchasing something brand new. 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 resourcefulness rather than financial necessity, ①change how such purchases are perceived socially. To ②address this problem, many platforms now ③offer buyer protection programs and detailed rating systems for sellers. As trust in these systems continues to grow, secondhand trading is ④expected to ⑤expand even further in the coming years.

Modern advertising increasingly relies on personal data ①collected from users' browsing habits, search histories, and social media activity. Companies argue that this approach benefits consumers by showing advertisements that are more relevant to their actual interests. However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how extensively their behavior ②is being monitored. Some algorithms can predict purchasing decisions before consumers themselves are consciously aware of them, ③which feel unsettling to many people. Furthermore, personalized advertising can trap users in a narrow bubble, repeatedly showing them similar products and ④limiting their exposure to alternatives. Supporters counter that consumers who dislike targeted ads can simply ⑤adjust their privacy settings.

Athletes preparing for major endurance events sometimes ①trains for weeks at high altitude, where the air contains less oxygen than at sea level, in hopes of gaining a physiological edge once they return to compete at lower elevations. In this thin air, the body responds by producing more red blood cells, ②which carry oxygen more efficiently through the bloodstream to working muscles. When these athletes return to sea level, where oxygen is more abundant, their blood ③retains this elevated capacity for a limited period, potentially translating into improved endurance performance. However, the benefits of altitude training are far from guaranteed, since individual athletes respond quite differently to the same conditions, and some experience excessive fatigue that ④undermines the very training they hoped to complete. Many elite programs therefore follow a strategy known as live high, train low, in which athletes sleep at altitude to stimulate blood adaptations but perform intense workouts at lower elevation ⑤to maintain quality and intensity.

When people encounter ①solid scientific evidence about climate change, we might expect them to accept it without hesitation. However, many individuals still ②dismiss or downplay such evidence, and psychologists explain this pattern through a concept called motivated reasoning. Motivated reasoning refers to the tendency to process information in a way that protects one's existing beliefs, identity, or lifestyle rather than to pursue objective truth. For example, a person whose livelihood depends on the fossil fuel industry may ③unconsciously search for reasons to doubt climate data, even while claiming to value scientific accuracy. This happens because accepting uncomfortable facts can ④protect a person's sense of self or demand costly lifestyle changes. Therefore, simply presenting more data ⑤rarely persuades a committed skeptic. Instead, experts suggest connecting climate information to values the person already holds, such as family safety or economic stability, so that acceptance feels natural rather than threatening.

Limited-edition products are goods that are released in small quantities for a ①short period of time. Many companies use this strategy because scarcity naturally ②decreases how much people desire an item. When consumers believe that a product will disappear soon, they often feel ③pressured to buy it immediately rather than wait. This excitement is ④intensified by social media, where people proudly share photos of items that others could not obtain. As a result, some shoppers later ⑤regret spending money on products they rarely use afterward.

Recovering from a serious sports injury involves far more than simply waiting for torn tissue to heal; it requires a carefully structured program that gradually reintroduces stress to the affected area. Immediately after an injury, rest and gentle range-of-motion exercises help prevent stiffness. As pain subsides, therapists introduce light resistance training, slowly rebuilding strength in muscles that have weakened from disuse. Progressing too quickly at this stage is a common mistake, since _______________. Only after strength and flexibility approach pre-injury levels do specialists introduce sport-specific drills that mimic the exact movements an athlete will face in competition.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track. The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new. For independent creators who cannot afford a composer, this has been a genuine breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before refining them by hand, while others worry that _______________.

Psychologists have long debated why some people find it easier than others to wait for future rewards. (A) For example, children who distracted themselves by singing or looking away were far more successful at waiting. (B) One explanation involves specific strategies, such as focusing attention away from the tempting object. (C) In the original marshmallow studies, researchers observed that success depended heavily on how children managed their attention.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. (A) The system is not without drawbacks, however, since favoring titles similar to what a viewer already enjoys can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures. (B) Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users, then ranks thousands of titles in order of predicted interest. (C) This approach keeps viewers engaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it.

A request as ordinary as asking for tomorrow's weather, for instance, triggers a surprisingly long chain of computation behind the scenes. Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. ( ① ) Behind this simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. ( ② ) Because these assistants improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. ( ③ ) Still, the technology remains far from perfect. ( ④ ) Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with amusing results. ( ⑤ ) Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest goals in the entire field of artificial intelligence.