영어 모의고사 (자동 편성)

During exam season last year, our school counselor ①introduced a weekly drop-in session where students could paint freely for thirty minutes without any instructions or grading. I attended mostly out of curiosity, ②expecting a relaxing but ultimately pointless activity, since I have never considered myself artistically talented. To my surprise, filling a blank page with color, without worrying whether the result looked good, ③left me noticeably calmer than scrolling through my phone during the same amount of free time. The counselor explained that art therapy does not aim to produce impressive paintings; it simply gives people a way ④express feelings that are difficult to put into words, especially frustration or anxiety that builds up silently during a stressful week. Several classmates who initially came only to avoid studying kept ⑤returning on their own afterward.

Cognitive load theory begins from the premise that working memory, the mental workspace in which incoming information is ①temporarily held and manipulated, can accommodate only a limited number of novel elements at any given moment, in stark contrast to the comparatively vast capacity of long-term memory. When instructional materials ②introduce more interacting elements than this narrow workspace can simultaneously process, learners experience what theorists call cognitive overload, a condition under which comprehension deteriorates and errors multiply regardless of how motivated the learner might be. Because much of this burden ③arises not from the intrinsic difficulty of the subject matter itself but from the manner in which information is presented, instructional designers can substantially reduce unnecessary strain by eliminating redundant explanations, ④aligning visual and verbal elements so that learners need not mentally integrate scattered sources, and gradually withdrawing guidance as competence develops. Ignoring these principles, by contrast, ⑤risks to overwhelm novices with demands that exceed their processing capacity, however well-organized the underlying content may be.

Traditional economic models predict that a rational individual offered any positive sum of money, however small, should ①accept it without hesitation, since even a modest gain is preferable to receiving nothing at all. When the proposer offers a division perceived as ②unfair, such as retaining ninety percent of the sum for themselves, the second participant frequently rejects the offer entirely, leaving both parties with nothing rather than accepting an outcome viewed as insulting. This behavior indicates that individuals value fairness as an end in itself, sometimes willingly ③sacrificing material gain to punish perceived exploitation. Neuroscientific investigations complement this finding, revealing that unfair offers activate brain regions associated with ④pleasure and negative emotion, suggesting that the rejection of unfairness is not merely a calculated strategic move but also an emotionally driven response. Such evidence challenges the assumption that economic actors pursue only their own material self-interest, demonstrating instead that considerations of equity can ⑤override the straightforward pursuit of maximum individual gain.

As a result, the ads that appear on a person's screen often feel remarkably ①specific, sometimes referencing items browsed only minutes earlier. Supporters argue that this level of precision benefits consumers by ②reducing exposure to irrelevant advertisements and highlighting products they genuinely need. Some researchers have found that people who see highly personalized advertisements make impulsive purchases ③less frequently than those who see generic ones. Because these algorithms operate largely without public oversight, few consumers fully understand how their personal data shapes what they eventually buy. Greater ④transparency, many experts argue, would allow consumers to make more ⑤informed decisions about their own online behavior.

Financial markets occasionally experience episodes in which asset prices rise far beyond any level that careful analysis of underlying fundamentals could justify, a phenomenon commonly attributed to herd psychology. During such episodes, individual investors, observing that prices have already risen substantially, often conclude that continuing to buy is ①reasonable simply because so many others are doing the same, rather than because any independent evaluation supports the purchase. This dynamic can become self-perpetuating: rising prices attract new buyers, whose purchases push prices higher still, thereby attracting yet another wave of buyers convinced that the upward trend itself constitutes ②reliable evidence of underlying value. Historical episodes of speculative excess display a strikingly similar pattern, suggesting that the underlying psychological mechanism remains ③variable even as the specific assets involved change considerably across centuries. Eventually, however, some triggering event, however minor, prompts a portion of investors to ④reconsider their assumptions, and the resulting wave of selling can trigger a collapse every bit as rapid and self-reinforcing as the original ⑤ascent.

Online courses have become a popular way for students to learn practical job skills outside of school. Unlike traditional classes, these courses let learners study at their own ①pace and repeat difficult lessons as many times as needed. However, taking an online course requires strong self-discipline, since no teacher checks whether students are ②keeping up. Experts recommend setting a fixed weekly schedule and finishing small assignments ③regularly instead of studying everything the night before a deadline. Choosing a course with clear reviews and a well-organized structure also matters, because poorly designed courses can ④save valuable time. With the right approach, online learning can give students a real ⑤head start in their future careers.

Scientists have identified certain gene variants that appear more frequently among elite endurance athletes than among the general population, along with a separate set that seems to favor explosive, power-based sports such as sprinting. One frequently studied variant, for instance, influences the proportion of slow-twitch versus fast-twitch muscle fibers a person naturally develops, a ratio that shapes whether a body leans toward endurance or explosive power. However, researchers caution strongly against interpreting these findings as evidence that athletic greatness is simply inherited, since _______________. Genetics may set a rough ceiling on an individual's ultimate potential, but where any particular athlete lands within that range depends overwhelmingly on training quality, nutrition, coaching, and sheer determination.

For decades, memory researchers assumed that repetition alone determined how well information would be retained, an assumption that an influential theory proposed by Craik and Lockhart eventually overturned. According to their framework, what matters most is _______________. Shallow processing, which involves attending merely to superficial features such as the shape of letters or the sound of a word, produces memory traces that fade quickly and remain vulnerable to interference. Elaborative processing, by contrast, requires connecting new information to existing knowledge, generating meaningful associations, and analyzing semantic content, thereby producing traces that are considerably more durable. Consequently, a student who merely repeats a definition aloud without considering its implications is less likely to retain it than one who relates the concept to a personal example. This distinction reshaped educational practice, encouraging teachers to design tasks that demand comprehension rather than mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement.

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 ___________.

This January, our school will run a New Year Goal-Setting Campaign for every student. (A) First, each student will receive a goal card in homeroom class and write one personal goal along with two steps to reach it. (B) Afterward, all the cards will be displayed on the bulletin board outside the library for everyone to see. (C) Once the card is complete, students must submit it to their homeroom teacher by January 9th.