Describe a skill that took you a long time to learn.

習得に時間がかかったスキル(活動・スキル)— Part2のキューカードです。2分間の回答を組み立てる練習に使えます。

キューカード(話すべきこと)

  • what the skill is
  • when and why you started learning it
  • how you learned it
  • and explain how you feel about it now

使えるコロケーション

表現日本語訳
pick up a skillスキルを身につける
hit a plateau伸び悩み期に入る
muscle memory体で覚えた記憶
persevere粘り強く続ける
from scratchゼロから
trial and error試行錯誤
pay off(努力が)実を結ぶ
deliberate practice意図的・計画的な練習
モデル回答 — まず自分で話してから開く

The skill I want to talk about is playing the piano, which I'd estimate took me a good ten years to reach a level I'm actually happy with.
I started at seven, like many Japanese children, because my mother decided I would — motivation didn't come into it. For the first few years I treated practice as a chore, plodding through scales with one eye on the clock. The turning point came in my teens, when I heard a recording of a Chopin ballade and realised, for the first time, that this was the instrument I'd been grinding away at. From then on, the practising was mine.
The learning itself was slow-motion trial and error: hands that wouldn't cooperate, weeks stuck on a single passage, and long plateaus where I seemed to improve not at all — until suddenly muscle memory caught up and a piece that had felt impossible played itself.
Now, it's the possession I value most that can't be bought. After a brutal day, half an hour at the keyboard rewires my mood completely. And it taught me a life lesson I use constantly: with enough patient repetition, difficult things quietly become easy. That belief has paid off in every skill I've learned since.

Part3につながる質問(4問)

  1. What skills do you think will be most important in the future?
  2. Is it better to learn a skill from a teacher or by yourself?
  3. Why do some people give up when learning something new?
  4. Should adults keep learning new skills throughout their lives?
モデル回答 — まず自分で話してから開く

質問

What skills do you think will be most important in the future?

モデル回答

I'd bet on the ones machines are worst at: learning itself, and dealing with people. As AI absorbs routine knowledge work, the specific skill you have will matter less than how quickly you can pick up the next one — adaptability becomes the meta-skill. Meanwhile, anything requiring trust, persuasion or empathy — negotiation, care, teaching — gets relatively more valuable precisely because it can't be automated convincingly. Technical literacy still matters, to be clear; you need to direct the machines. But the durable advantage will be human flexibility.

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