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)
- What skills do you think will be most important in the future?
- Is it better to learn a skill from a teacher or by yourself?
- Why do some people give up when learning something new?
- 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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