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    Programme 2024-2027
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    AI for language education
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Overview of the project

Click on the image below to see an overview of the project.


Invitation to share experiences and expertise

On 13 February 2025, the AI Lang team had an enriching meeting with Rochane Kherbouche (https://www.centre-inffo.fr/site-centre-inffo/inffo-formation/articles-dinffo-formation/rochane-kherbouche-agent-ia-collaboratif), a French AI expert and founder of a thriving WhatsApp community (IArena Éducative) focused on educational AI. Key discussion points included:

  • The role of AI in supporting pedagogy, as opposed to visa-versa
  • Ethical concerns about AI’s environmental impact and data protection
  • Concrete examples of AI empowering teachers to enhance teaching, streamline tasks, and personalise learning
  • The necessity to rethink teacher training to integrate AI in the classroom (as many French students already use AI for homework)
  • The need to integrate AI into teachers’ assessment methods, rather than focus on how traditional assessment methods can be subverted by AI.

Following this initial, and highly productive meeting, which provided opportunities to learn how to use NotebookLM and customised chatbots, the AI Lang team are looking forward to future productive synergies with specialists in the field. If you have published recently about the use of AI in language teaching or are involved in initiatives about AI use, and are interested in the possibility of a meeting, please contact Achilleas Kostoulas (achilleas@kostoulas.com).


Insights from the AI Lang BarCamp

A key commitment of the AI Lang project is that our exploration of the potential of Artificial Intelligence in language education should be participatory and dialogical, rather than a top-down flow of information from experts towards the frontlines of the profession. It was with this commitment in mind that we were happy to host the first AI Lang BarCamp on 5th November 2024, to complement our own explorations into the uses and potential of artificial intelligence in education. 

Read more


A short survey on the use of AI in language teaching

The project team developed a multilingual questionnaire to map how AI is being used across national settings, what affordances teachers are aware of, and what apprehensions they have regarding the effective and ethical use of AI in language education. This survey has now been completed, and we would like to thank all participants for their time and insights. 

The initial findings of the survey suggest that AI resources were widely used: over half the respondents reported having used AI tools to create materials, organise lesson plans, teach all language skills and improve students’ vocabulary, grammar and pronunciation. Some examples they provided included: 

  • generating text for classroom;
  • use creating comprehension questions for reading or listening exercises; 
  • creating different versions of learning and assessment tasks;
  • rephrasing instructions (e.g., “This helps me to have a different perspective on what I write”); 
  • generating images that correspond to a description or text 

That said, many teachers reported challenges in prompt generation, finding ways to integrate creativity into AI-assisted language education, and avoiding plagiarism. Concerns were also raised about training and the cost of AI tools. The teachers also reported fears regarding being replaced, or language education becoming obsolete, as well as the perceived decline in students’ production skills. 

Based on the findings from this survey, the AILang team is currently working on developing resources that can help educate teachers about AI-assisted language education. To that end, we have been experimenting with various AI resources (e.g., CoPilot, ChatGTP, Claude, DeepL, Diff.it, etc.) and exploring their potential and limitations.

Our insights are used to produce teacher education materials that can help to: familiarise teachers with AI resources and encourage them to experiment with them develop their capacity to meaningfully integrate multiple AI tools into their teaching encourage reflection on the pedagogically effective and ethical use of AI technology in language education