영어 모의고사 (자동 편성)

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan ① that 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 ② reshuffles the next set of problems to target the weaker areas. Early studies suggest that this personalized pacing can help struggling students ③ catch 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 ④ frustrating 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 ⑤ provide.

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.

Only a decade ago, translation apps produced sentences so ① awkward that users often laughed at the results rather than trusting them. Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably ② chaotic. Frequent travelers now point their phone cameras at street signs and receive an ③ instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can ④ completely change the intended meaning. For this reason, professional translators argue that these apps are best treated as a helpful ⑤ starting point rather than a final, polished result.

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 _______________.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. 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. Still, _______________. 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.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox. The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks. What makes the system effective is that it keeps learning after launch: whenever a user marks a message as spam, that action becomes new training data, sharpening the filter's future decisions. This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. As a result, _______________.

Fast fashion refers to cheap, trendy clothing produced quickly and replaced almost as fast as it is bought. Because these garments are designed to be worn only a few times, huge amounts of fabric end up in landfills every year, and the dyeing process pollutes rivers near factories. In contrast, a growing number of brands are turning toward the circular economy, _______________. For example, some companies collect old clothes, break down the fibers, and weave them into new fabric, while others let customers rent outfits for special occasions rather than buying garments they will barely wear. These approaches keep resources circulating within the system longer, reducing demand for raw materials. Therefore, shifting from a throwaway habit toward a circular one may be essential for making the fashion industry sustainable.

Modern sports wearables, from wrist-worn fitness trackers to smart insoles, continuously collect data that would once have required a laboratory to measure. (A) However, the flood of data has also created a new challenge, since distinguishing a meaningful pattern from ordinary daily fluctuation requires expertise that many amateur athletes simply do not have. (B) Coaches use this constant stream of information to detect early warning signs of overtraining, sometimes noticing a decline in performance before the athlete consciously feels tired. (C) Because of this, many teams now rely on wearable data as a routine part of daily monitoring, checking it as automatically as they once checked a stopwatch.

This kind of quiet anticipation is precisely what makes the technology feel almost invisible in daily life. A smart thermostat that learns a family's daily rhythm can lower the temperature automatically before everyone wakes up cold, while smart lights that follow a resident's schedule no longer need to be switched on and off by hand. ( ① ) These small conveniences rest on a shared foundation: sensors collect data about temperature, motion, and light throughout the home, and an algorithm gradually learns which settings match each household's actual habits rather than a factory default. ( ② ) Over months of use, the system becomes noticeably better at anticipating needs, often adjusting settings moments before a resident would have reached for a switch. ( ③ ) Yet convenience comes with a trade-off that many households overlook. ( ④ ) Every one of these small adjustments depends on constant data collection, meaning that a detailed record of when people wake, leave, and return home is quietly being stored somewhere beyond their immediate control. ( ⑤ )

주어진 문장: After all, ignoring proven facts might seem like an irrational thing to do. When people encounter solid scientific evidence about climate change, we might expect them to accept it without hesitation. ( ① ) However, many individuals still dismiss or downplay such evidence, and psychologists explain this pattern through a concept called motivated reasoning. ( ② ) 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. ( ③ ) For example, a person whose livelihood depends on the fossil fuel industry may unconsciously search for reasons to doubt climate data, even while claiming to value scientific accuracy. ( ④ ) This happens because accepting uncomfortable facts can threaten a person's sense of self or demand costly lifestyle changes. ( ⑤ ) Therefore, simply presenting more data rarely 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.