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英語 高校生

英語わかる方教えてください😭

[3]次の英文を読み, 各問いに答えなさい。 [思•判・表] (教科書 P.131~133 参照) Going Abroad We are told that going abroad can help us learn English and learn about other cultures, but there is a much more important reason to travel overseas. it helps us grow. First, - we learn to understand other people more. Foreigners are seen as people who are different from us, but if we become a foreigner, we must adapt to the social norms of another culture. Baseball legend Ichiro Suzuki said, [3] (5点x3) (1) @ (3) “Becoming a foreigner has taught me to be considerate and compassionate. These feelings only come through experience." Second, we are challenged with a variety of situations overseas. In facing these, we can find our true nature. Michelle Crichton, author of Jurassic Park, said, “Often I feel I go to some distant region of the world to be reminded of who I really am." ( ① ) whether you take a trip, study abroad, work abroad, or even perhaps marry someone in another country, take ②the challenge of becoming a foreigner. It may change your life. ' (1)筆者が鈴木イチロー選手の言葉を引用しているのは,以下のどの根拠を補強して説明するためですか。 ふさわしいものを選択肢から選び、記号で答えなさい。 ア. 海外へ行くことで,最新のスポーツや映画を楽しむことができる イ. 海外へ行くことで,さまざまな状況で試され成長できる ウ.海外へ行くことで,他者をもっと理解するようになる (2) ( 1 )に当てはまる語を選択肢から選び, 解答欄に書きなさい。 [ However / But / So / For example ] (3)下線部②「外国人になってみること」というのは具体的にどういうことですか。 下記のうち、本文中で述べられていない ものを1つ選び、記号で答えなさい。 ア. 海外で働くこと エ. 人生を変えること イ. 国際結婚をすること オ. 海外旅行に行くこと ウ. 海外留学をすること

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TOEIC・英語 大学生・専門学校生・社会人

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15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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