Category: Language Teaching & Learning (All)
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AI in Language Education: Notes from an International Panel
Rapid adoption of AI is not the same as thoughtful use. Reflecting on an international panel discussion, this post explores what AI asks in terms of learning, judgement, ethics, and accountability.
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Building an Ethical Framework for AI in Language Education: The AI Lang Guidelines
What does it mean to use AI well in a language classroom, not just effectively, but ethically? This post introduces the AI Lang framework: four principles, eight guidelines, and thirty-five competence descriptors for the ethical use of AI in language education.
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Notes from a Book Presentation: Language Politics in Tunisia
A reflection on presenting Language Politics in Tunisia and what Tunisia’s linguistic ecology reveals about language, identity and power.
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LocalLing, Week 2
An overview of the second week of the LocalLing meeting in Volos (9th – 12th March 2026). Learning new things, enjoying a book presentation, and taking part in a linguistic landscape walk!
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The first week of the LocalLing event in Volos
A description of the first week of the LocalLing meeting in Volos, coorganised by the University of Thessaly and Tallinn University.
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Towards Critical ELF pedagogy
English learners can speak clearly and correctly, yet still be exploited, marginalised, or unheard. A critical ELF perspective starts asks what language education should do when communication works, but justice does not.
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From Mastery to Judgement: Rethinking AI Professional Development in Language Education
We brought together 40 educators to explore AI in language education. What they valued wasn’t tool training or technical skills. It was increased confidence, clearer judgement, and the space to ask whether AI should be used at all.
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The Languages Education Iceberg: Understanding participation and outcomes in language education
Language education is often described as being in crisis, but lthe picture becomes more nuanced if we look closer. This post explores how Complexity Theory helps us see why some schools thrive while others struggle, and what that means for the future of languages education.
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The AI ‘alignment problem’ in language education and applied linguistics
Drawing on a recent publication (Curry et al., 2025), this post reflects on how AI aligns (or fail to align?) with the epistemological, ontological, and ethical values of applied linguistics and language education.