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Balancing mindfulness and planning ahead

Here we find ourselves already in a new year. I wonder if, like me, many of you might be wondering how that has happened. January is a time of year traditionally associated with analyzing the past and making resolutions for the future.

In the classroom this might also involve looking forward to assessments and exams at the end of the school year. Maybe you’ve made New Year’s resolutions that have already fallen by the wayside. 

The focus of this blog is learning how to stay in the present moment. So let's take a practical look at how to manage this time of year with your students and with ourselves as teachers (and humans), while also effectively planning ahead for the future.

Sue Kay has been an ELT materials writer for over 25 years. She is the co-author of Pearson's Focus Second Edition and is one of the co-founders of ELT Publishing Professionals. In this article, Sue takes us through her experience of using video in the classroom and shows us how to motivate and engage students with authentic video.

Videos are no longer a novelty

When I started teaching in the early 80s, video was a novelty in the classroom. We only had one video player for the whole school and had to book it a week in advance. There was very little published material available, but thanks to the rarity factor, the students lapped it up. 

There was no problem with getting them motivated, even if the lessons accompanying the videos were not particularly exciting and consisted mainly of comprehension questions. Lucky for me, our school had a very dynamic Director of Studies who gave great teacher training sessions and I was very taken with a presentation he did on active viewing tasks. 

I was, and still am, a big fan of the Communicative Approach and I embraced the more interactive video tasks enthusiastically: freeze frame and predict, watch with the sound down and guess what people are saying, listen with the screen hidden to guess the action, etc. 

When I’m preparing a video lesson, I still try to include at least one of these activities because the information gap provides an ideal motivation for students to watch the video and check their ideas. 

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.

Global collaboration and research

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.

Access to educational resources and technical documentation

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.

Enhancing communication and language learning with AI systems

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 natural language processing (NLP) continues to advance, proficiency in English allows individuals to better understand and contribute to the development of more sophisticated and intuitive AI communication interfaces.