영어 모의고사 (자동 편성)

Psychologist Leon Festinger introduced social comparison theory, which ①explains that people evaluate their own abilities and opinions by comparing themselves with others. According to this theory, individuals engage in upward comparison when they measure themselves against someone ②who appears more successful, attractive, or accomplished. Social media platforms, filled with carefully edited photos and exaggerated achievements, ③provide endless opportunities for this kind of comparison. For instance, a teenager browsing vacation pictures posted by classmates may begin to feel that her own ordinary life ④are somehow inadequate. Unlike comparing oneself with someone in a similar position, which can sometimes boost confidence, upward comparison frequently ⑤triggers envy, dissatisfaction, and lower self-esteem.

Among strategies for improving concentration, the Pomodoro Technique remains one of the most widely ①recommended methods for students and workers. This technique involves working with full attention for twenty-five minutes, then ②taking a short five-minute break before starting the next session. After completing four of these cycles, a longer break of fifteen to thirty minutes ③is usually taken to allow mental recovery. The method assumes that sustained focus becomes harder to maintain as time passes, so frequent short breaks prevent mental fatigue from ④build up. Students preparing for exams report finishing reading assignments faster when they follow this structured rhythm instead of studying without interruption. Office workers find that dividing large projects into short, timed intervals makes overwhelming tasks feel more manageable. Because each interval has a clear start and end, procrastination becomes less tempting, since beginning a single twenty-five-minute session requires less commitment ⑤than beginning an entire project.

Psychologists have long studied a mechanism called the variable reward schedule, in which rewards ①arrive unpredictably rather than after every single action. Slot machines famously exploit this principle, and social media notifications operate on strikingly similar logic. When someone posts a photo, they cannot predict exactly when likes will appear, nor ②how many they will eventually receive. This uncertainty triggers a small burst of dopamine each time the phone ③is checked, regardless of whether the result is disappointing or thrilling. Consequently, users often refresh their feeds compulsively, ④hoping the next check will finally bring a satisfying reward. What makes this troubling is that technology companies deliberately designed notification systems using insights borrowed from gambling research, rather than ⑤stumble upon them by accident.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. Behind this ①simple 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. Because these assistants ②improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, the technology remains far from ③perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with ④flawless results. Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest ⑤goals in the entire field of artificial intelligence.

As the job market continues to change, experts have identified several core competencies that will matter most in the future. (A) Beyond such technical knowledge, however, employers increasingly value problem-solving and adaptability when evaluating candidates. (B) Technical literacy, including basic coding and data analysis, has become nearly as fundamental as reading and writing once were. (C) Communication skills matter as well, since many future jobs will require collaborating with both human colleagues and intelligent systems.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. (A) Frequent travelers now point their phone cameras at street signs and receive an instant translation overlaid on the screen, thanks to this leap in accuracy. (B) Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can completely change the intended meaning. (C) Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word.

For decades, athletes were taught to stretch a muscle and hold the position before any competition, believing that this practice alone would prevent injury. (A) Recent research, however, has complicated that assumption, since static stretching can actually reduce a muscle's ability to generate explosive force immediately afterward. (B) Dynamic stretching, by contrast, involves controlled, repeated movement through a joint's full range of motion and appears to prepare muscles for activity without this weakening effect. (C) As a result, many coaches now recommend saving static stretching for after a workout while reserving dynamic movements for the warm-up period before intense effort begins.

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. (A) 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. (B) 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. (C) Yet convenience comes with a trade-off that many households overlook, since a detailed record of daily habits is quietly being stored somewhere beyond their immediate control.

주어진 문장: This concern reflects a deeper fear about what makes art meaningful in the first place. Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. ( ① ) Programs can now compose music, generate paintings, and even draft short stories within seconds. ( ② ) Some artists welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. ( ③ ) Others, however, argue that AI-generated art lacks the emotional depth that comes from genuine human experience. ( ④ ) Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. ( ⑤ ) Instead, it functions best as a collaborative tool, helping creators experiment faster while leaving final artistic decisions to humans.

주어진 문장: For patients in isolated regions, this convenience can mean the difference between receiving care and going without it. Telemedicine, which allows patients to consult doctors through video calls rather than in-person visits, has expanded rapidly since its early adoption. ( ① ) Supporters argue that this approach saves patients considerable time and makes healthcare accessible to people living in remote areas without nearby hospitals. ( ② ) It has also created new career opportunities, since healthcare providers now need staff skilled in digital communication and remote diagnostic technology. ( ③ ) However, critics contend that virtual appointments cannot fully replace physical examinations, which remain essential for detecting certain conditions. ( ④ ) They also worry that elderly patients unfamiliar with technology may struggle to access these services effectively. ( ⑤ ) Despite such concerns, most healthcare experts believe telemedicine will continue to grow.