

IELTS Writing被認為是許多考生感到最困難的部分之一。因為需要在有限的時間內合乎邏輯地組織文章,還要具備應對廣泛話題的能力。尤其在2025年到2026年間,預計AI的普及、氣候變化、遠端辦公增加等社會性變化也會反映到考題當中。因此,除了傳統的常見主題外,針對更現代化話題的準備也必不可少。
本文將結合最新的出題趨勢,介紹“預測題列表”以及與之對應的“範文示例”。內容涵蓋Task 1(Academic / General Training)和Task 2(作文題)兩部分,彙總了在實際考試中有用的具體表達和結構提示。無論是靠自學備考的人,還是想在短期內提高分數的人,都能從中受益。
參考接下來介紹的預測題和範文,結合自己的想法進行練習,培養在IELTS Writing中穩定衝擊高分的能力吧。
IELTS Writing每年會出現相似的主題和形式,同時也會隨著時代變化加入新話題。預計2025年到2026年將呈現以下趨勢。
瞭解這一趨勢,有助於提前準備各主題相關的思路和詞彙。尤其Task 2會反映社會形勢,輸入最新新聞和時事英語,也有助於提高分數。
這裡將預計在2025年到2026年出題的IELTS Writing主題,分為Task 1和Task 2兩部分進行介紹。在參考過往出題趨勢的基礎上,重點彙總了反映當代社會熱點的話題。
透過實際練習這些預測題,可以在接近正式考試的環境中鍛鍊思考能力和表達能力。尤其Task 2多為探討社會議題的題目,從多角度整理觀點的準備十分重要。
這裡從預測題中挑選出具有代表性的Task 1和Task 2示例,介紹假設正式考試情境下的範文。字數控制在實際IELTS考試中容易得到好評的水平(Task 1:約150~180詞,Task 2:約250~280詞)。
預測題:“下圖展示了2010年至2025年間可再生能源使用率的變化。請比較四個主要國家,並總結其中的重要特徵。”
範文(約170詞)
The chart compares the percentage of renewable energy consumption in four countries between 2010 and 2025.
Overall, it is clear that while all four nations increased their use of renewable energy during this period, the pace and scale of growth varied considerably.
In 2010, Country A had the lowest figure, around 10%, but it rose steadily to reach 35% by 2025. In contrast, Country B started at a relatively high level (25%) but experienced only a moderate increase, reaching 30% in the final year. Country C showed the most dramatic rise, doubling from 15% to 40%. Meanwhile, Country D remained relatively stable, fluctuating slightly around 20%.
In summary, renewable energy usage became more widespread in all countries, with Country C demonstrating the most significant improvement.
預測題:“Some people think that the rise of artificial intelligence (AI) will create more job opportunities, while others believe it will cause unemployment. Discuss both views and give your own opinion.”
範文(約270詞・相當於Band 7)
The rapid development of artificial intelligence (AI) has sparked debate about its impact on employment. While some argue that AI will generate new types of work, others fear it will lead to widespread unemployment.
On the one hand, AI has the potential to create numerous job opportunities. As technology advances, new industries emerge, requiring specialists in AI programming, system management, and data analysis. For instance, the growth of self-driving vehicles may reduce the need for drivers, but it simultaneously increases the demand for engineers, safety regulators, and maintenance staff.
On the other hand, critics argue that AI will replace human labor in many traditional fields. Routine tasks in manufacturing, banking, and customer service are increasingly being automated, which may leave workers with fewer employment options. Low-skilled employees are particularly vulnerable, as they may lack the resources to retrain for more technical roles.
In my opinion, although AI will inevitably displace certain jobs, its overall impact can be positive if societies adapt effectively. Governments and educational institutions should invest in reskilling programs to prepare workers for the future economy.
In conclusion, AI should not be seen solely as a threat to employment but rather as a driver of transformation. By embracing technological change and supporting workers in transition, societies can ensure that AI contributes to economic growth and human progress.
善用這樣的範文,既能學習文章結構和詞彙用法,也能應用到自己的答案當中。
不僅要善用預測題和範文,用心改進日常學習方法,也能大幅提升寫作分數。這裡介紹一些實用且有效的學習方法。
綜合運用這些學習方法,即使時間有限,也能高效地提高分數。
IELTS Writing每次出題的形式相似,但也會加入反映時代潮流的新主題,這是其特點之一。預計2025~2026年,AI、遠端辦公、環境問題等社會關注度高的領域將被大量涉及。
作為考前衝刺,利用預測題進行模擬練習最為有效。參考本文介紹的題目示例和範文,加入自己的想法反覆訓練,就能培養出在正式考試中穩定衝擊高分的實力。