2025年7月5日|雅思考情回顾

阅读看不懂做不完生无可恋？

听力靠“坑蒙拐骗”？

七月第一场雅思纸笔考试考情如何，和通才一起看看吧！

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听力部分

Part 1：

✅主题——如何成为慈善晚宴的举办家庭

✅题型——填空题

1.new

2.grant

3.buffet

4.stove

5.microwave

6.dish washer

7.drive way

8.13

9.Garden Project

10.neighbour/neighbor

Part 2：

✅主题——农场工作介绍

✅题型——单选+地图

11.motel离工作地点农场很近

12.NOT GIVEN

13.需要有恰当的资质证明

14.B 有时候会很吵

15-20：AEBFCD

Part 3：

✅主题——关于职场工作的调查

✅题型——匹配+五选二

21.salary

22.freedom to do one’s job-supervisor

23.support

24.flexibility to work from home

25.working in a small company

26.job security

27-28.grateful for finding a job/overqualified for jobs

29-30. social interactions/the routine a job brings

Part 4：

✅主题——古老乐器的介绍和研究

✅题型——填空

31.hunt

32.flute

33.swan

34.shells

35.Europe

36.variety

37.simple

38.wind

39.paintings

40.poetry

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阅读部分：

P1

✅主题——Ancient Chinese Chariots

1-4：T/NOT GIVEN/T/F

5.struts

6.eighteen/thirty-two

7.elm

8.bronze

9.lubricating oil

10.dish

11.neck

12.sand

13.tomb complex

P2

✅主题——味觉研究

14-18：GAFAE

19-23.BCACB

24.bitter

25.lactose

26.fruits

P3

✅主题——Keeping the fun in funfairs

27-32：BCDEFG

33.weight,position

34.resonance frequency

35.three axes

36.headaches

37.Coriolis illusion

38-40.NO/NOT GIVEN/YES

写作部分

Task 1小作文

The charts below give information about education in Singapore from the years 2000 to 2010.

Task 2大作文

Some people think that technology brings mostly benefits to people’s lives. Others think that technology brings mostly disadvantages.

Q:Discuss both these views and give your own opinion.

✅参考表达：

①Positive Aspects

Medical breakthroughs (AI diagnostics, robotic surgery)

Global connectivity (smartphones, real-time social media communication)

Efficiency from automation (AI tools, smart factories reducing manual labor)

②Negative Impacts

Weakened interpersonal skills (empathy decline in virtual interactions)

Privacy breaches (data tracking, algorithmic surveillance)

Health risks (screen-induced myopia, sedentary-related diseases)

③Dialectical Views

Environmental cost: e-waste pollution (25 million tons annually)

Ethical issues: AI bias, deepfake misinformation

Governance: data regulation (e.g., GDPR), digital literacy education