For over two years, I’ve been integrating AI into language education, practically from the moment it became accessible. With hands-on experience teaching K12 students, I’ve witnessed the transformative potential of AI in enhancing language learning. This course goes beyond theory—it’s grounded in real classroom practice and designed for educators aiming to revolutionize their language teaching.

This course involves an Exclusive In-Person Event.

Join us on Wednesday in Budapest at the Colossyan headquarters, where you’ll have the unique opportunity to meet AI developers in person.

Moreover, you will have the opportunity to meet other AI developers through online sessions.

Course overview

This course is built on practical, hands-on methods tailored specifically for language education. Forget theoretical overviews—every session is packed with actionable strategies and examples to transform the way you teach languages.

By focusing on AI applications specifically designed for language learning, this course bridges the gap between technology and pedagogy. You’ll learn to harness AI tools to improve vocabulary retention, listening comprehension, and fluency in real-world contexts.

Drawing from classroom-tested approaches, the course provides proven methods to enhance engagement and learning outcomes. These strategies are backed by real-world success and tailored for educators who want immediate impact.

Methodology

The methodology of this Erasmus course integrates innovative and modern teaching approaches to ensure participants remain engaged and achieve deep learning outcomes…

…Project-Based Learning (PBL), where participants work in diverse teams to develop projects that address real-world challenges related to their professional contexts. These projects culminate in a presentation or demonstration, which also serves as an assessment tool.

Adding an extra layer of engagement, the course is structured around a gamified system. Participants can choose from a wide range of tasks.

The main questions to discuss:

• What makes intelligence “artificial” in language education?
• Can machines truly “think,” or are they merely simulating intelligence during language learning?
• How do human and AI-based problem-solving and decision-making differ?
• Can AI create new industries in language education, or just disrupt existing ones?
• What are the most effective AI tools for simplifying a language teacher’s workload?
• How can AI enhance both teaching and learning?
• In what ways can AI give students more control?
• Cheating or new approach?
• Can we make assignments “AI-proof”?
• What role does critical thinking play?
• What did students create with AI?
• What did they enjoy most?
• Challenges they faced and how we overcame them?
• How should teachers evolve?
• New skills educators need?
• What is the secret to an excellent prompt?
• Balancing AI with human-centric teaching?
• Why is AI often disappointing, and how to manage that?
• How does hype affect trust?
• What’s the future of AI in language education?

Additional materials, digital tools & other learning resources:

• Programme (YouTube Short)
• YouTube Channel
• LinkedIn posts
• Methodological material 1
• Methodological material 2
• Methodological material 3 (Google Doc)