跟读练习: Labour force reskilling in AI age | Vietnam Today - 通过视频学习英语口语

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Vietnam's labor market continues to show positive signs in 2026,
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with nearly 50,000 jobs created in Hanoi in the first quarter and unemployment remaining below 3%.
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But as the job market evolves, new challenges are emerging.
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Definitely.
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And one of the main drivers of this challenge has got to be artificial intelligence.
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And as workers are under growing pressure to adapt to new technologies, Reskilling is becoming essential to staying competitive in the AI age.
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So now let's take a closer look.
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He's clicking loudly.
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Bing carefully rewrites his CV, refining every line and polishing each bullet point in search of something that stands out.
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But behind the effort, a quiet concern lingers.
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As I prepare for graduation, I feel quite worried because AI is increasingly capable of replacing many language-related tasks,
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including translation and interpretation.
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Besides improving professional knowledge, I also need to develop soft skills and gain more practical experience, especially in communication and presentation.
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As A-Agen transforms the workplace, employers are increasingly prioritizing adaptable skill sets over traditional qualifications.
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People start switching from the degree-based hiring into skills-based hiring.
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People don't look into the role as the job title like before, but they look for the skill set.
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And sometimes the combination of the skill set can, you know, setting up a new role that people never seen it before.
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And this is very interesting that it makes all of us go beyond the limit.
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LinkedIn data suggests that around 20.8% of jobs in Vietnam could be exposed to generative AI, with experts warning the key challenge is now whether workers can
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be re-skilled fast enough to keep up with rapid labor market changes.
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Since 2024, AI has been one of the company's key strategic programs.
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Our company has introduced mandatory AI training programs for all employees, covering AI fundamentals, practical applications, and prompting techniques.
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Beyond technical skills, the company also focuses on helping employees embrace change, build confidence in using AI, and apply the technology responsibly.
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We are developing new workflows that enable people and AI to work together more effectively.
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The World Economic Forum's Future of Jobs Report 2025 warns that around 39% of core skills will change, highlighting a rapid shift in labor market demands.
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As a result, Reskilling and continuous adaptation are becoming essential, with workers increasingly expected not just to use AI, but to manage it effectively.
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And we have just seen how workers and employers alike are adapting to the AIH.
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But AIH is one aspect of a much broader transformation taking place in the labor market.
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So what more can be done to help workers adapt and thrive?
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To find out, our reporter spoke with Mr. Felix Waden-Kalb, Employment and Labor Market Policy Specialist at the International Labor Organization, or ILO.
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Thank you Mr. Felix for joining our interview today.
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Thank you very much for having me.
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The LinkedIn data reveals a strong massive demand for high skilled labour, yet Vietnam has a low percentage of certified workers.
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From the ILO's perspective, how can Vietnam create a national framework for lifelong learning
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that allows older or low skilled workers to reskill without losing their livelihoods?
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It's very important for Vietnam to, for a national framework, to move towards more flexible pathways that could include modular courses,
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online and blended learning, apprenticeships, work-based learning.
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Today, I would like to highlight actually the recognition of prior learning.
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Many workers in Vietnam already have skills that they obtained, be it through the family business.
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Economic upgrading also means reskilling workers, and that will need very practical support not only for the younger generation of workers but throughout the life cycle.
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What is the ILO's stance on ensuring a human in command approach?
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The recent ILO brief on Gen AI and jobs in Vietnam shows
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that actually around 20.8% of the total employment in Vietnam is potentially exposed to Gen AI.
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But it is only 1.8% of this total employment that is most exposed to the risk of automation.
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Human in command from an ILO perspective means that workers themselves, but also the organization representing workers,
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trade union, involved even before AI systems are introduced.
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This should allow workers to be able to move more to more productive jobs,
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but while also supporting workers that are currently in heavily exposed jobs to Gen AI.
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And how can the LLO and the Vietnamese government collaborate to ensure gender-responsive employment policies in these digital sectors,
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preventing a digital gender gap and ensuring that women have equal access to these high-value roles identified in this data?
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Tackling a digital gender gap needs to take a more holistic
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gender responsive approach in Vietnam where women account for 55.5% of the total employment exposed to Gen AI.
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One key priority can also be that young women and girls have access to and to STEM programs,
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ensuring that there's no discrimination and more actually more gender responsive action in the workplace that enables.
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also willing to flourish in technology-oriented jobs in the future.
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Thank you for your insights.
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Thank you very much.

关于本课

在本课中，您将学习如何适应快速变化的劳动市场，特别是在人工智能时代的背景下。通过了解越南劳动市场的动态以及重技能的必要性，您将练习重要的语言技能，提高英语口语练习能力。您可以通过模仿视频中的发言者，掌握如何在求职中更好地展示自己，同时提升与AI相关的交流能力。

关键词汇与短语

  • 重技能 (Reskilling) - 为适应新技术而重新培训或学习新技能。
  • 劳动市场 (Labor market) - 提供就业机会和寻找工作的市场场所。
  • 人工智能 (Artificial Intelligence, AI) - 能够模拟人类智能的计算机系统。
  • 适应能力 (Adaptable skill sets) - 在职场中能灵活应对不同挑战的技能组合。
  • 模块化课程 (Modular courses) - 可以通过多种学习方式提供的课程，灵活组合。
  • 在线学习 (Online learning) - 通过互联网参与学习过程。
  • 人力主导 (Human in command) - 在AI系统使用中，确保人类控制及决策。
  • 性别响应 (Gender-responsive) - 关注性别平等的就业政策。

练习技巧

在观看视频时，建议使用shadowspeak方法进行跟读练习。请跟随视频中讲者的语速和语调，尤其是当他们传达重要信息时。您可以重复单句或短段落，以增强理解和发音精准度。通过这种方式，不仅可以提高您的口语流利度，还可以在使用关键词时提升您的自信心。尝试在shadowing site中找到类似内容，专注于节奏和语调的练习，这对提升您的英语口语练习尤为重要。此外，注意学习短语和表达的实际用途，以帮助您在求职过程中有效沟通，灵活应对未来的挑战。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。