5 Unexpected Findings About AI in English Language Teaching
What teachers across six European countries taught us about fairness, fear, and the future of AI in the classroom.
As part of the BRIDGE-ELT Erasmus+ project, Future Cast and partner organisations in six countries — Ireland, Spain, Norway, Portugal, Italy, and Türkiye — conducted national needs assessments to explore how English Language Teaching (ELT) professionals are engaging with Artificial Intelligence.
The results? Insightful, surprising, and sometimes uncomfortable. Here are five unexpected takeaways that shed light on what’s truly needed if AI is to serve education equitably:
1. Teachers Want AI — But Don’t Know Where to Start
Across the board, teachers expressed curiosity and even enthusiasm for AI tools like ChatGPT or Grammarly. But in practice, most lacked formal training and felt unsure about using them ethically or effectively. In some countries, fewer than 20% of surveyed teachers had ever used AI in their classrooms. As one Irish teacher put it: “I’m interested, but I honestly wouldn’t know where to begin.”
2. Bias and Equity Are Bigger Concerns Than Tech Skills
You might assume teachers are focused on learning how to use AI — but many are more concerned about how AI might affect inclusion. In Italy, Portugal, and Greece, teachers raised red flags about Western-centric AI content that didn’t reflect their students’ cultural realities. In Türkiye and Ireland, digital access and rural infrastructure were cited as barriers to fair AI integration. This isn’t just a tech issue — it’s a justice issue.
3. The Classroom Is Changing — But Not the Policies
Despite the surge in AI use, institutional support hasn’t caught up. Teachers in Spain, Türkiye, and Ireland said there were no clear school-level policies for ethical AI use — especially around plagiarism, student data, and AI-assisted assessments. This has left educators navigating the AI frontier without a map.
4. AI Helps Plan Lessons — But Hurts Creative Confidence
Interestingly, many teachers use AI for preparation, not direct instruction. From vocabulary banks to gap-fill quizzes, AI helps save time — but also raises philosophical questions. In Norway and Ireland, teachers shared feelings of guilt or self-doubt, wondering whether they were “cheating” by using AI. One said, “Am I losing my creativity by relying on it too much?”
5. Teachers Are Asking for More Than Tutorials
Educators across all countries weren’t asking for just another platform demo — they want deep, meaningful training. The top requests?
- How to write effective prompts
- How to detect and prevent bias
- How to integrate AI while supporting multilingual, diverse classrooms
- How to balance innovation with student wellbeing
The call was clear: Make AI work for the learner, not the other way around.
At Future Cast, this aligns with our belief that technology should be inclusive, transparent, and human-centred. That’s why we’re leading Work Package 3 of BRIDGE-ELT — developing training tools and a MOOC that help teachers across Europe build confidence, competence, and community around AI in ELT.
🔁 Want to follow the journey?
Stay tuned for updates from BRIDGE-ELT and more stories from the edge of innovation.
#BridgeELT #FutureCast #DigitalEquity #TeacherVoices #EdTechResearch #AIinELT #InclusiveLearning #InnovationInEducation
