【英検1級 二次試験（スピーキング）超絶テクニック集】面接試験合格率約60%の壁を突破する｜スピーチ・Q&A・時間稼ぎ・予想問題すべて網羅

論点・根拠の一貫性。首尾一貫したスピーチの構成力が問われる

臨機応変な応答力。会話を継続する力が評価される

幅広い語彙・文法の正確かつ適切な運用

発音・アクセント・イントネーションの正確さ

🔴 最初の15秒：トピック選び

5つのトピックをざっと見て「理由が2つ言えそうか」で判断。完璧なトピックを探すな！「なんとか話せそう」で即決定。3つ目で「いける！」と思ったら残りは見なくてOK。

🟡 次の30秒：理由を2つ固める

理由①と理由②をキーワードで決める（文章で考えない！）。例：トピックが “Should Japan accept more immigrants?” なら、「労働力不足」「文化的多様性」の2語だけ決定。

🟢 最後の15秒：冒頭文を脳内リハ

序論の1文目だけ脳内で完成させる。“I believe that…”の後に続く1文を固めれば、あとは流れで話せる。結論は序論の言い換えなので別途準備不要。

鉄則①　「理由2つ」が3秒で浮かぶものを選べ
トピックの深さより、話しやすさを最優先。深い意見を言おうとして撃沈するのが最悪のパターン。

鉄則②　自分の得意ジャンルを3つ決めておく
例：教育・テクノロジー・環境。事前に各ジャンル5つずつトピックを練習しておけば、本番で必ず1つは引っかかる。

鉄則③　Agree or Disagree 型は初心者向き
賛成か反対かを言えばいいだけなので構成がシンプル。”Should…?” や “Can…?” 型は少し高度。

鉄則④　具体例が出せるトピックを選べ
抽象論だけのスピーチは薄い。”For example, in Japan…” と言える話題が最強。

鉄則⑤　自分の意見より「話しやすい立場」を取れ
本心と違っても構わない。英語で論理的に話せる方の立場を選ぶのが合格への近道。

【序論】約15〜20秒

“I believe that [自分の主張].”
“There are two main reasons for this.”

※ “These days, … ” で時事的な背景を入れてから主張すると高得点。

【本論①】約35〜40秒

“Firstly, [理由1].”
“[具体的な説明を2〜3文]”
“For example, [具体例].”

【本論②】約35〜40秒

“Secondly, [理由2].”
“[具体的な説明を2〜3文]”
“For instance, [具体例].”

【結論】約10〜15秒

“For these reasons, I firmly believe that [主張を再度述べる].”

※ 序論と全く同じ文にしない。少し表現を変えると加点要素。

序論
These days, Japan is facing a serious labor shortage due to its declining birthrate and aging population. I believe that Japan should actively accept more foreign workers. There are two main reasons for this.

本論①
Firstly, foreign workers can help sustain Japan’s economy. Many industries, such as agriculture, construction, and healthcare, are struggling to find enough workers. Without additional labor, these essential sectors may face serious difficulties. For example, rural areas are already experiencing severe workforce shortages that threaten local communities.

本論②
Secondly, cultural diversity can drive innovation. When people from different backgrounds work together, they bring fresh perspectives and creative ideas. For instance, many successful companies in Silicon Valley thrive precisely because of their diverse workforce.

結論
For these reasons, I firmly believe that increasing the acceptance of foreign workers is essential for Japan’s future prosperity.

✅ 自分の意見を述べるとき

“I strongly believe that…” — 強い確信
“From my perspective, …” — 自分の視点から
“In my view, …” — 私の見解では
“I would argue that …” — ～と主張したい

⛔ 反対意見に応答するとき

“That’s a valid point, but I think…” — まず認めてから反論
“I see what you mean, however…” — 理解を示してから
“While that may be true, we should also consider…” — 別視点を提示
“I understand the concern, but the benefits outweigh the risks.” — メリットが上回る

📌 具体例を示すとき

“For example, in Japan, …” — 日本の例
“A good illustration of this is …” — 良い例として
“According to recent research, …” — 最近の研究によると
“We can see this trend in countries like …” — ～のような国々で見られる

🎯 結論・まとめるとき

“In conclusion, I maintain that …” — 結論として
“Taking everything into account, …” — すべてを考慮すると
“Ultimately, I believe the key issue is …” — 結局、核心は
“The bottom line is that …” — 要するに

🔴 質問が聞き取れなかったとき

“I’m sorry, could you repeat the question?”
“Could you say that again, please?”
“I’m sorry, I didn’t quite catch that.”

🟡 考える時間が欲しいとき（時間稼ぎ）

“That’s a really interesting question…” — 興味深い質問ですね
“That’s a difficult question… Let me think…” — 難しい質問ですね
“Well, I think it depends on the situation, but…” — 状況によりますが
“That’s a great point. I would say that…” — いいご指摘ですね
“Hmm, there are several aspects to consider…” — いくつかの側面がありまして

🔵 質問の意図を確認したいとき

“Do you mean…?” — つまり〜ということですか？
“Are you asking whether…?” — 〜かどうかということですか？
“Just to clarify, you’re asking about…?” — 確認ですが、〜についてですか？

🟣 話が途中で詰まったとき

“What I mean is…” — 言いたいのは〜です（言い直し）
“In other words, …” — 言い換えると
“Let me put it this way…” — こう言いましょう
“The point I’m trying to make is…” — 私が言いたいのは

❶ Should artificial intelligence be regulated by governments?

💡 キーワード: ethical concerns, job displacement, data privacy, innovation vs. safety

❷ Will AI replace teachers in the future?

💡 キーワード: personalized learning, emotional intelligence, human connection, digital divide

❸ Agree or disagree: Social media does more harm than good

💡 キーワード: mental health, misinformation, connectivity, freedom of expression

❹ Should there be stricter regulations on personal data collection?

💡 キーワード: surveillance, consumer rights, GDPR, corporate responsibility

❺ Agree or disagree: It is too late to prevent climate change

💡 キーワード: renewable energy, Paris Agreement, tipping point, carbon neutrality

❻ Should governments prioritize renewable energy over economic growth?

💡 キーワード: sustainable development, green jobs, fossil fuel dependency, long-term cost

❼ Can individual actions make a significant difference in combating environmental problems?

💡 キーワード: collective impact, consumer behavior, systemic change, awareness

❽ Should nuclear power be part of the solution to climate change?

💡 キーワード: Fukushima, carbon emissions, safety risks, energy security

❾ Should Japan increase its acceptance of foreign workers?

💡 キーワード: labor shortage, cultural integration, aging society, economic sustainability

❿ Agree or disagree: A university degree is necessary for success

💡 キーワード: alternative education, skills-based hiring, student debt, lifelong learning

⓫ Can Japan’s rural communities be revitalized?

💡 キーワード: depopulation, remote work, local industries, government subsidies

⓬ Should the voting age be lowered further?

💡 キーワード: political engagement, maturity, civic education, youth representation

⓭ Is the Japanese healthcare system a good model for other countries?

💡 キーワード: universal coverage, aging population, financial sustainability, preventive care

⓮ Should elderly parents be cared for at home or in professional facilities?

💡 キーワード: caregiver burden, quality of care, cultural values, cost considerations

⓯ Should governments invest more in mental health services?

💡 キーワード: stigma, productivity, pandemic impact, workplace wellness

⓰ Is globalization contributing to cultural decline?

💡 キーワード: cultural homogenization, local identity, economic interdependence, cultural exchange

⓱ Should the Internet be censored?

💡 キーワード: freedom of speech, child protection, misinformation, authoritarian control

⓲ Can businesses be ethical and still be profitable?

💡 キーワード: CSR, ESG investing, consumer demand, long-term sustainability

⓳ Should Japan play a larger role in international peacekeeping?

💡 キーワード: Article 9, self-defense, diplomatic influence, humanitarian aid

⓴ Agree or disagree: The wealth gap between nations will continue to widen

💡 キーワード: foreign aid, trade barriers, technological divide, sustainable development goals

【モデルスピーチ】

In recent years, artificial intelligence has rapidly transformed various aspects of our lives, from healthcare to transportation. I strongly believe that governments should regulate AI to ensure its safe and responsible development. I have two main reasons for this position.

Firstly, AI poses significant risks to privacy and security. Advanced AI systems can collect and analyze massive amounts of personal data, which could be misused if left unregulated. For example, facial recognition technology has already raised serious concerns about surveillance in several countries. Without proper regulations, individuals may lose control over their own personal information.

Secondly, unregulated AI could worsen economic inequality. As AI automates more jobs, workers in certain industries may face unemployment. Governments need to establish frameworks that ensure the benefits of AI are distributed fairly across society. For instance, regulations could require companies to invest in retraining programs for displaced workers.

For these reasons, I firmly believe that government regulation of AI is essential to protect citizens and promote equitable technological progress.

【想定Q&A】

Q1: “Some people argue that regulation could stifle innovation. What do you think?”

“That’s a valid concern, but I believe regulation and innovation can coexist. In fact, clear guidelines can actually encourage responsible innovation by creating a level playing field. The pharmaceutical industry is a good example — strict regulations haven’t stopped the development of groundbreaking medicines.”

Q2: “What specific aspects of AI do you think should be regulated first?”

“I think data privacy and algorithmic transparency should be the top priorities. People have a right to know how their data is being used and how AI systems make decisions that affect their lives. After that, I would prioritize regulations around autonomous weapons and AI in critical infrastructure.”

Q3: “Is international cooperation necessary for AI regulation?”

“Absolutely. AI is a global technology, so regulations in one country alone won’t be sufficient. International cooperation is essential to prevent a ‘race to the bottom’ where companies simply move to countries with fewer regulations. Organizations like the UN could play a key role in establishing global standards.”

①　完璧を目指すな、合格点を目指せ。
全項目で満点を取る必要はない。各7〜8点で十分合格。

②　沈黙が最大の敵。
間違えてもいいから声を出し続ける。言い直しはOK、沈黙はNG。

③　一次試験を突破した自分を信じろ。
二次試験の合格率は約60%。あなたにはすでに合格する力がある。