From ‘Shokran’ to Siri: How AI Is Changing Language Learning

Modern Foreign Languages (MFL) have long been about more than vocabulary lists and verb conjugation. It’s really about building bridges — between cultures, communities and ways of thinking. In an age of artificial intelligence, those bridges are being built faster and more intelligently than ever before.

During a recent trip to Morocco, I found myself immersed in a beautiful blend of language and culture. While I don’t speak Arabic fluently, I made the effort to say a simple word — “Shokran”, meaning thank you. And honestly, the smiles and warmth I got back were priceless. That one word became a powerful reminder, of how language connects us. Now, with AI, those connections are happening even faster and in ways we couldn’t have imagined before.

Industry Insight: Language, AI and Global Communication

In the real world, AI is being used extensively to support communication across languages. From voice assistants like Siri or Alexa to advanced real-time translators like Google Translate, we are seeing technology adapt on the fly to meet the needs of speakers all over the world.

For instance:

  • Voice recognition allows for hands-free, multilingual communication
  • Machine translation supports diplomacy, international trade and humanitarian aid
  • Subtitling and dubbing using AI is becoming faster and more accurate, increasing access to media
  • Language learning apps like Duolingo use AI to personalise practice

Popular TV shows like Race Across the World have shown how vital language is in navigating new environments. Contestants often rely on translation apps or AI tools to find their way, connect with locals or even read menus (when speaking with local people who have phones and use the apps to interact with the contestants) — I strongly recommend, using these examples as real-world situations that your students can immediately relate to.

Classroom Connection: Making MFL Lessons Future-Focused

AI offers new, engaging ways to enrich the language classroom:

  • Voice Assistant Roleplay: Ask students to practise speaking using voice-to-text tools, and have a bit of fun seeing how well (or badly!) AI picks up pronunciation in different languages.
  • Translation Tool Critique: Have learners use AI-powered translators, then review the accuracy — discussing idioms, context and tone. You can even spark debates about why translations sometimes miss the mark.
  • Cultural Comparisons: Watch short videos in different languages with real-time subtitles, then talk about the little cultural differences you notice. It helps students see how culture shapes language in everyday life.
  • Create Their Own Phrasebooks: Let pupils curate AI-aided vocabulary lists relevant to travel scenarios, then practise conversations using text-to-speech tools. This makes learning really practical and hands-on.

These activities don’t just help with memory — they get students thinking about AI as a tool, not a magic fix.

Tools & Tips to Get Started

And don’t forget to have a chat with your students about why human learning still matters — AI is a helper, not a replacement.

Curriculum Fit: Real-World Relevance in MFL

AI supports the aims of MFL curricula by:

  • Enhancing cultural appreciation through global media, for example – students can watch a vlog from a French teenager, listen to Spanish pop songs, or follow a Japanese cooking channel.
  • Improving oral confidence via instant feedback
  • Supporting inclusion through differentiated tools
  • Linking to future career pathways in translation, travel, diplomacy and AI development

In short, these tools make language learning more meaningful, accessible, and ready for the real world.

A Reflective Moment

That one word — “Shokran” — reminded me of the power of effort and connection. It also made me think about how AI can step in to bridge those awkward first moments when you don’t have the right words. The key is using it as a tool for confidence, not a crutch to rely on all the time.

Hi, I am Beverly Clarke MBE, here are some examples of my AI work:

I work at the intersection of industry and education, helping organisations and educators make sense of emerging technologies.

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