In the rapidly evolving age of artificial intelligence (AI), language plays a critical role in shaping the future of technology. English, in particular, has emerged as the dominant language in the AI domain, driving innovations, collaboration and accessibility. As we delve deeper into the digital age, the importance of teaching English becomes increasingly evident. Here are some key points that underscore why English is essential in the realm of AI and why its teaching matters.
AI is a field that thrives on collaboration and the sharing of knowledge. Researchers, developers and engineers worldwide contribute to the collective advancement of AI technologies. English is the common linguistic thread that binds this global community together, enabling seamless communication and collaboration among these diverse professionals.
By teaching English, we empower individuals from various linguistic backgrounds to participate in global research projects, attend international conferences and publish their findings in widely accessible journals. This global exchange of ideas not only accelerates the pace of AI innovation but ensures that advancements are inclusive and representative of a wide array of perspectives.
Many AI research papers, educational materials, textbooks, online courses and technical documents are published in English. Leading AI platforms, libraries and frameworks, offer extensive documentation and support primarily in English.
By equipping individuals with English language skills, we empower them to access these invaluable resources. This democratizes the learning process, allowing aspiring AI practitioners from non-English-speaking regions to acquire the knowledge and tools needed to contribute effectively to the field.
As AI systems become more integrated into our daily lives, the ability to communicate effectively with these systems is paramount. Many AI-driven applications, from virtual assistants like Siri and Alexa to customer service chatbots, operate predominantly in English. Teaching English ensures that users can interact seamlessly with these technologies, maximizing their utility and enhancing user experience.
Moreover, as continues to advance, proficiency in English allows individuals to better understand and contribute to the development of more sophisticated and intuitive AI communication interfaces.
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Proficiency in English opens up many career opportunities in the AI industry. Many leading tech companies, research institutions and startups operate in English-speaking environments or require English proficiency for collaboration and communication.
By teaching English, we prepare individuals for these opportunities, enabling them to pursue careers in AI research, development, data science and more. Additionally, English proficiency enhances professional growth by allowing individuals to engage with global networks, attend international conferences and stay updated with the latest industry trends and developments.
The digital divide refers to “the disparities in access to information and communication technologies (ICTs), as well as the ability to use these technologies effectively. This divide is not only about access to hardware and connectivity but also encompasses differences in digital literacy, economic resources and social inclusion." (Van Dijk, J. A. G. M. 2020).
Language barriers can exacerbate this divide, limiting access to AI-driven innovations and services for non-English-speaking communities. Teaching English helps bridge this gap, ensuring that more people can benefit from AI advancements. This inclusivity is essential for creating AI solutions that address the needs and challenges of diverse populations, ultimately contributing to a more equitable and connected world.
In the interconnected world of AI, cross-cultural understanding is crucial. English serves as a bridge connecting people from different cultural backgrounds, fostering mutual respect and collaboration.
By teaching English, we promote cross-cultural understanding and empathy, which are essential for developing AI solutions that are ethical, fair and respectful of diverse cultural contexts. This cultural sensitivity is critical as AI technologies are deployed globally, impacting people from various cultural backgrounds.
In conclusion, teaching English is of paramount importance in the age of AI. English plays a pivotal role in the advancement and accessibility of AI. It’s not just about linguistic proficiency; it is about opening doors to global collaboration, providing access to critical resources, enhancing communication with AI systems, unlocking career opportunities, bridging the digital divide and promoting cross-cultural understanding.
As AI continues to shape the future, ensuring that individuals worldwide have the language skills needed to engage with this technology is essential.?By prioritizing English education, we can foster a more inclusive and innovative AI landscape, where diverse voices and perspectives drive progress and create solutions that benefit all of humanity.
Van Dijk, J. A. G. M. (2020). The Digital Divide. 3rd Edition. SAGE Publications.
Read our blogs on 'The impact of AI on language learning'?and 'How English skills unlock a career in leadership'
It's incredible to know that there are thousands of languages spoken across the world, each with its unique set of challenges for learners. A question that often pops up is: "Which language is the hardest to learn?". Today we take a closer look at this question and consider different factors that make learning a language challenging.
Preparing students for the modern world of work can be challenging; it's constantly adapting and changing which can be hard to keep track of. Today's post is a Q&A on the teaching of employability skills and the essential skills and qualities students need to thrive in the 21st century. offers insights to answer common questions and help you improve your language teaching skills.
My advice is to push the issue back to the students by putting them in groups and asking each group to identify a different job/career that involves people working with others. Then ask "What would happen if this job was competitive?instead of collaborative?" You may have to re-explain the concepts, but let students write a little story about a situation in which the workers suddenly all turn competitive.
For example, It was chaos in the women's soccer/football game. All the members of the blue team suddenly became competitive. Each one still wanted to win, but each decided that she would shoot a ball into the other team's net. This included the goalie, who ran up to the front of the field and purposely shoved and tripped members of her team ….
Or for more traditional jobs, In the middle of the operation the nurse pushed the doctor out of the way and picked up the instrument. The patient also wasn’t completely asleep, and he tried to do the operation himself, then …
It's all absurd, of course, but it can lead into other tasks asking students why collaboration is so important in each job. Then, turning it back to language, what kinds of language does each profession require to collaborate? For soccer/football players, this includes shouted requests and commands:?Pass the ball to me! Shoot!?as well as hand and body gestures. Similarly, doctors require professional jargon:?Pass me the scalpel, please.?Rather than?Give me the pointy knife thing!
One hundred years ago, in 1923, Thomas Edison predicted that motion pictures would replace teachers and books. Since then, similar predictions have been made for radio, TV and computers. It hasn't happened, and one of the reasons is that we crave the human touch in our teaching and learning. I recently read. "When it comes to getting knowledge to stick, there may be no substitute for human relationships. … I've been to former students' weddings and baby showers and funerals of their parents," says Millard, the high school English teacher in Michigan. "I've hugged my students. I've high-fived my students. I've cried with my students. A computer will never do that. Ever, ever.”(Waxman, 2023, para. 21-22)
But, that doesn’t mean teachers should stop learning about new technologies. We need to keep finding ways for them to help us and our language learners in the classroom. It can seem overwhelming, though, which is why I recommend shifting responsibility to students: “Do any of you know about ChatGPT? Yes? How do you think you could use it to help you learn?” ??? ?
Although the world is in many ways competitive, there are countless examples of how students will do better by collaborating. Most of our students today won't be working in environments where they are competing against their co-workers. Instead, they'll be in teams and need critical thinking and negotiation skills to help them do so.
One way forward is to ensure that your classroom features more collaborative activities. Get students working in pairs and groups on all their assignments, but also create a buddy system so students always have someone else to ask for help. For example, if they're having to read a text and come across difficulties, it's often easier for them to text or call a friend than to wait until the next class. After a few collaborative activities, discuss collaboration versus competition with students and ask them which they prefer. Also, ask them for examples of what their friends and family members do regarding collaborating and competing.
As always, it's better to lead students to understand a new idea than to tell them.
If you want to learn more, make sure to check out Ken's webinar here. If you'd like to learn more about teaching future skills to students check out?21st-century skills and the English language classroom.
Ehsan Gorji is an Iranian teacher, teacher trainer and teacher educator. He also designs strategic plans, devises study syllabuses, runs quality-check observations, and develops materials and tests for different language institutes and schools in the country. Ehsan has been a GSE Thought Leader and Expert Rater since 2016.?
Reflective teaching, despite it sounding modern and sophisticated, has not yet become a common practice among English language teachers. However, the experiential??proposed by??offers a practical approach for teachers. The cycle involves teaching a lesson, reflecting on "what we did" and "how we did them," and then using that reflection to improve future English classes. By using this approach, teachers can prepare for better teaching in the long term.
