大学入学共通テスト（英語） 過去問
令和6年度（2024年度）追・再試験
問79 (＜旧課程＞英語リスニング（第5問） 問4)
問題文
次の講義を読み、問に答えなさい。
＜状況＞
あなたは大学で、農業用ロボットに関する講義を、ワークシートにメモを取りながら聞いています。
Today， we will learn about robots in agriculture. Robots are already used for planting， harvesting， and other jobs. Now， farm workers are retiring and there are not enough workers to take their place. Robots have the potential to help with this labor shortage and improve agricultural production. Let’s look at the apple industry and consider how robots can help with manual work and decision− making.
On apple farms in the U.S.， both robots and humans do manual work. Now， robots are slower than humans at picking apples. However， in the future， advanced robots will be more effective because they will be able to keep working without a break， unlike humans. As technology improves， robots will better assist people in doing routine manual work like picking apples.
Currently， humans rather than robots make decisions. For example， farmers do an amazing job of anticipating how many apples they can harvest each year. However， even growers with a lot of experience are not always accurate and this can cause financial loss. In the future， data−collecting robots and AI are expected to work together to make more precise predictions about apple harvesting.
Does this mean all work， including non−routine work， will be done by robots？ No， not at all. Some non−routine decision−making work and some manual work will still be done by humans. For example， robots have difficulty picking apples from trees of different shapes and sizes. Humans will still need to manage the trees by deciding the best shapes for harvesting， and cut the trees by hand.
Our first team will talk about the connection between robots and different types of agricultural work. Team 1， please start.
ワークシートの空欄（ 30 ）に入れるのに最も適切なものを、六つの選択肢のうちから一つ選びなさい。
ワークシート
＜状況＞
あなたは大学で、農業用ロボットに関する講義を、ワークシートにメモを取りながら聞いています。
Today， we will learn about robots in agriculture. Robots are already used for planting， harvesting， and other jobs. Now， farm workers are retiring and there are not enough workers to take their place. Robots have the potential to help with this labor shortage and improve agricultural production. Let’s look at the apple industry and consider how robots can help with manual work and decision− making.
On apple farms in the U.S.， both robots and humans do manual work. Now， robots are slower than humans at picking apples. However， in the future， advanced robots will be more effective because they will be able to keep working without a break， unlike humans. As technology improves， robots will better assist people in doing routine manual work like picking apples.
Currently， humans rather than robots make decisions. For example， farmers do an amazing job of anticipating how many apples they can harvest each year. However， even growers with a lot of experience are not always accurate and this can cause financial loss. In the future， data−collecting robots and AI are expected to work together to make more precise predictions about apple harvesting.
Does this mean all work， including non−routine work， will be done by robots？ No， not at all. Some non−routine decision−making work and some manual work will still be done by humans. For example， robots have difficulty picking apples from trees of different shapes and sizes. Humans will still need to manage the trees by deciding the best shapes for harvesting， and cut the trees by hand.
Our first team will talk about the connection between robots and different types of agricultural work. Team 1， please start.
ワークシートの空欄（ 30 ）に入れるのに最も適切なものを、六つの選択肢のうちから一つ選びなさい。
ワークシート
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問題
大学入学共通テスト（英語）試験 令和6年度（2024年度）追・再試験 問79（＜旧課程＞英語リスニング（第5問） 問4） （訂正依頼・報告はこちら）
次の講義を読み、問に答えなさい。
＜状況＞
あなたは大学で、農業用ロボットに関する講義を、ワークシートにメモを取りながら聞いています。
Today， we will learn about robots in agriculture. Robots are already used for planting， harvesting， and other jobs. Now， farm workers are retiring and there are not enough workers to take their place. Robots have the potential to help with this labor shortage and improve agricultural production. Let’s look at the apple industry and consider how robots can help with manual work and decision− making.
On apple farms in the U.S.， both robots and humans do manual work. Now， robots are slower than humans at picking apples. However， in the future， advanced robots will be more effective because they will be able to keep working without a break， unlike humans. As technology improves， robots will better assist people in doing routine manual work like picking apples.
Currently， humans rather than robots make decisions. For example， farmers do an amazing job of anticipating how many apples they can harvest each year. However， even growers with a lot of experience are not always accurate and this can cause financial loss. In the future， data−collecting robots and AI are expected to work together to make more precise predictions about apple harvesting.
Does this mean all work， including non−routine work， will be done by robots？ No， not at all. Some non−routine decision−making work and some manual work will still be done by humans. For example， robots have difficulty picking apples from trees of different shapes and sizes. Humans will still need to manage the trees by deciding the best shapes for harvesting， and cut the trees by hand.
Our first team will talk about the connection between robots and different types of agricultural work. Team 1， please start.
ワークシートの空欄（ 30 ）に入れるのに最も適切なものを、六つの選択肢のうちから一つ選びなさい。
ワークシート
＜状況＞
あなたは大学で、農業用ロボットに関する講義を、ワークシートにメモを取りながら聞いています。
Today， we will learn about robots in agriculture. Robots are already used for planting， harvesting， and other jobs. Now， farm workers are retiring and there are not enough workers to take their place. Robots have the potential to help with this labor shortage and improve agricultural production. Let’s look at the apple industry and consider how robots can help with manual work and decision− making.
On apple farms in the U.S.， both robots and humans do manual work. Now， robots are slower than humans at picking apples. However， in the future， advanced robots will be more effective because they will be able to keep working without a break， unlike humans. As technology improves， robots will better assist people in doing routine manual work like picking apples.
Currently， humans rather than robots make decisions. For example， farmers do an amazing job of anticipating how many apples they can harvest each year. However， even growers with a lot of experience are not always accurate and this can cause financial loss. In the future， data−collecting robots and AI are expected to work together to make more precise predictions about apple harvesting.
Does this mean all work， including non−routine work， will be done by robots？ No， not at all. Some non−routine decision−making work and some manual work will still be done by humans. For example， robots have difficulty picking apples from trees of different shapes and sizes. Humans will still need to manage the trees by deciding the best shapes for harvesting， and cut the trees by hand.
Our first team will talk about the connection between robots and different types of agricultural work. Team 1， please start.
ワークシートの空欄（ 30 ）に入れるのに最も適切なものを、六つの選択肢のうちから一つ選びなさい。
ワークシート
- accurately
- actively
- continuously
- expectedly
- quickly
- slowly
正解！素晴らしいです
残念...
この過去問の解説 （2件）
01
日本語訳第3段落
現在は、ロボットよりも人間が意思決定を行っています。例えば、農家の方々は毎年どれくらいのリンゴが収穫できるかを予測することにおいて、素晴らしい仕事をしています。しかし、経験豊富な栽培者であっても常に正確であるとは限らず、これが経済的な損失を招くこともあります。将来は、データ収集ロボットとAIが連携して、リンゴの収穫についてより精密な予測を行うことが期待されています。
設問では、
experienced farmers do not always（ 30 ）forecast harvests
（経験豊富な農家でも、常に（ 30 ）収穫を予測できるわけではない）
という形になっています。
訳）正確に
→正しい
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
(しかし、経験豊富な栽培者であっても必ずしも正確であるとは限らず、経済的損失を引き起こす可能性があります。)
講義内で使われている形容詞 accurate（正確な）に対応する副詞は accurately（正確に）です。したがって、これが正解となります。
訳）活発に
→間違い
予測の「精度」が問題となっているため、文脈に合いません。
訳）絶え間なく
→間違い
収穫予測は一回限りの判断やシーズンごとの見通しに関するものであり、
表現が異なります。
訳）期待通りに
→間違い
訳）速く
→間違い
講義では予測の「正確さ」について書かれており、
速度については触れられていません。
訳）ゆっくりと
→間違い
参考になった数0
この解説の修正を提案する
02
ここでも表をしっかりと見ておきましょう。
この問題のポイントは
①決定（Decision making）
②現在（At present）
そして、「経験のある農家でも、いつも（ 30 ）天候を予測できるとは限らない」という内容です。
以上の点を意識しながら聴くと、
Currently， humans rather than robots make decisions. （現在、ロボットより人間が決定をしている）
という１文が読まれます。
「現在」「決定」というワードから、関連があることが予測できます。
さらにその後の
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
という１文に、空所（30）が含まれた英文と似た表現が出ているため、解答の根拠となると判断できます。
正解 「正確に」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
「活発に」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
より不正解
「継続的に」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
より不正解
「期待通りに」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
より不正解
「素早く」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
より不正解
「ゆっくりと」
However， even growers with a lot of experience are not always accurate and this can cause financial loss.
（しかしながら、経験のある生産者さえ、いつも正確であると限らず、これが財政損失につながりうる）
より不正解
問題文と似た表現を含む英文が答えとなる可能性が非常に高いことを覚えておきましょう。
参考になった数0
この解説の修正を提案する
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