Category: AI in Language Education
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AI-Assisted Teacher Reflection: Thinking Before, During, and After the Lesson
Teaching has always required reflective practice. This post explores how artificial intelligence can support three types of teacher reflection (before, during, and after the lesson) drawing on Farrell’s framework and the AI Lang guidelines.
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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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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.