Learning about GenAI? Mat and Phil talk about the first four (of ten) knowledge areas and skills language teachers should aim to have now: prompting, ethics, chatbots, and translation. Combining practical examples with theoretical insights, they discuss these knowledge areas and skills in more detail than they could give in their paper: AI and the future of language teaching: Motivating Sustained Integrated Professional Development (SIPD). This is the second episode of the series and also the second discussion of the position paper on SIPD; episode 1 looked at the technical underpinnings of GenAI.

In this episode:

Hubbard & Schulze (2025). AI and the future of language teaching: Motivating Sustained Integrated Professional Development. International Journal for Computer Assisted Language Learning and Teaching https://www.igi-global.com/gateway/article/full-text-html/378304
UNESCO. (2024). AI competency framework for teachers. UNESCO Publishing. Available at https://unesdoc.unesco.org/ark:/48223/pf0000391104
Educause Framework for AI literacy in teaching and learning (2024) https://www.educause.edu/content/2024/ai-literacy-in-teaching-and-learning/faculty-altl
ISTE Whitepaper about evolving teacher education in an AI world: https://1818747.fs1.hubspotusercontent-na1.net/hubfs/1818747/2024_ISTE_whitepaper_EvolvingTeacher_Ed_in_an_AI_World.pdf
Paradox Learning AI toolkit for educators: https://paradoxlearning.com/wp-content/uploads/2023/09/AI-Toolkit-for-Educators_v3.pdf
Emily M. Bender & Alex Hanna (2025), The AI Con https://thecon.ai/

Additional reading:

Ohashi L. & Hubbard P. (2025). Generative AI ethics: Emerging principles for language teachers. In Ohashi L., Hills M., & Dykes R. (Eds.), Artificial intelligence in our language learning classrooms. Candlin & Mynard. https://www.candlinandmynard.com/uploads/1/2/5/0/12502105/chapter_5_open_access.pdf https://www.candlinandmynard.com/genai1.html

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