11
어법
2411-20 For ①
[many / many of] us, ②
[make / making] time for exercise is a continuing challenge. Between work commitments and family obligations, ③
[it / which] often feels like there's no room in our ④
[packing / packed] schedules for a ⑤
[dedicating / dedicated] workout. But ⑥
[what / what if] the workout came to you, right in the midst of your daily routine? That's where the beauty of integrating mini-exercises into household chores ⑦
[come / comes] into play. Let's be realistic; chores are inevitable. ⑧
[Whether / If] it's washing dishes or taking out the trash, these tasks are an essential part of daily life. But rather than viewing chores as purely obligatory activities, why not seize these moments as opportunities for physical activity? For instance, ⑨
[practice / practices] squats or ⑩
[engage / engages] in some wall push-ups as you wait for your morning kettle to boil. Incorporating quick exercises into your daily chores can improve your health.
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12
어법
2411-21 When we see something, we naturally and automatically ①
[break / breaking] it up into shapes, colors, and concepts that we ②
[are / have] learned education. We recode what we see through the lens of everything ③
[that / what] we know. We reconstruct memories rather than retrieving the video from memory. This is a useful trait. It's a more efficient way to store information ─ a bit like an optimal image compression algorithm such as JPG, rather than storing a raw bitmap image file. People ④
[who / where] lack this ability and ⑤
[remember / remembers] everything in perfect detail struggle to generalize, ⑥
[learn / learns], and make connections between what they have learned. But representing the world as abstract ideas and ⑦
[feature / features] ⑧
[come / comes] at a cost of seeing the world as it ⑨
[is / does]. Instead, we see the world through our assumptions, motivations, and past experiences. The discovery ⑩
[that / where] our memories are ⑪
[reconstructing / reconstructed] through abstract representations rather than played back like a movie completely undermined the legal primacy of eyewitness testimony. Seeing is not believing.
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13
어법
2411-22 In his Cornell laboratory, David Dunning conducted experimental tests of eyewitness testimony and ①
[finding / found] evidence ②
[that / which] a careful deliberation of facial features and a ③
[detailing / detailed] discussion of selection procedures can ④
[actual / actually] be a sign of an inaccurate identification. It's when people find themselves unable to explain why they recognize the person, saying things like "his face just popped out at me," ⑤
[that / what] they tend to be accurate more often. Sometimes our first, immediate, automatic reaction to a situation is the truest interpretation of ⑥
[how / what] our mind is telling us. That very first impression can also be more accurate about the world than the deliberative, ⑦
[reasoning / reasoned] self-narrative can ⑧
[be / do]. In his book Blink, Malcolm Gladwell describes a variety of studies in psychology and behavioral economics that ⑨
[demonstrates / demonstrate] the superior performance of ⑩
[relative / relatively] unconscious first guesses compared to logical step-by-step justifications for a decision.
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14
어법
2411-23 Many forms of research lead naturally to quantitative data. A study of happiness might measure the number of times someone smiles ①
[since / during] an interaction, and a study of memory might measure the number of items an individual can recall after one, five, and ten minutes. Asking people how many times in a year they are sad will also yield quantitative data, but it might not be reliable. Respondents' recollections may be inaccurate, and their definitions of 'sad' could vary widely. But asking "How many times in the past year ②
[was / were] you ③
[enough sad / sad enough] to call in sick to work?" prompts a concrete answer. Similarly, instead of asking people to rate how ④
[bad / badly] a procrastinator they are, ⑤
[ask / asks], "How ⑥
[many / many of] your utility bills are you currently late in paying, ⑦
[while / even though] you can afford to pay them?" Questions ⑧
[that / where] seek concrete responses ⑨
[help make / help making] abstract concepts clearer and ⑩
[ensure / ensures] consistency from one study ⑪
[for / to] the next.
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15
어법
2411-24 The evolution of AI is often ①
[associating / associated] with the concept of singularity. Singularity refers to the point ②
[at them / at which] AI exceeds human intelligence. After that point, it is predicted that AI will ③
[repeated / repeatedly] improve itself and ④
[evolve / evolves] at an ⑤
[accelerating / accelerated] pace. When AI becomes self-aware and pursues its own goals, ⑥
[it / which] will be a conscious being, not just a machine. AI and human consciousness will then begin to evolve together. Our consciousness will evolve to new dimensions through our interactions with AI, ⑦
[it / which] will provide us ⑧
[with / for] intellectual stimulation and ⑨
[inspire / inspires] new insights and creativity. Conversely, our consciousness also has a significant impact on the evolution of AI. The direction of AI's evolution will depend greatly on ⑩
[how / what] values and ethics we incorporate into AI. We need to see our relationship with AI as a mutual coexistence of conscious beings, ⑪
[recognize / recognizing] its rights and supporting the evolution of its consciousness.
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16
어법
2411-29 Digital technologies are essentially ①
[relating / related] to metaphors, but digital metaphors are different from linguistic ②
[one / ones] in important ways. Linguistic metaphors are passive, in the sense that the audience needs to choose to actively enter ③
[the / into the] world ④
[proposed / proposing] by metaphor. In the Shakespearean metaphor "time is a beggar," the audience is unlikely to understand the metaphor without cognitive effort and without further engaging Shakespeare's prose. Technological metaphors, on the other hand, ⑤
[to be / are] active in the sense that they are ⑥
[realizing / realized] in digital artifacts that ⑦
[is / are] actively doing things, forcefully changing a user's meaning horizon. Technological creators cannot ⑧
[general / generally] afford to require their potential audience to wonder how the metaphor works; normally the selling point is ⑨
[that / what] the usefulness of the technology is obvious at first glance. Shakespeare, on the other hand, ⑩
[is / are] beloved in part because the meaning of his works ⑪
[is / are] not ⑫
[immediate / immediately] obvious and ⑬
[require / requires] some thought on the part of the audience.
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