Opening AI for Language Learning

Mathias Schulze, Philip Hubbard

Aimed at language educators seeking clarity, practical insights, and critical reflections in the rapidly changing AI landscape, the Opening AI for Language Learning (OAILL) podcast explores the evolving intersection of linguistics, pedagogy, and AI in language teaching and learning. Initiated by the Language and Applied Research Center at San Diego State University (SDSU-LARC), it features hosts Mat Schulze, Professor of German and Director of SDSU-LARC, and Phil Hubbard, Senior Lecturer Emeritus at the Stanford University Language Center, longtime colleagues with decades of experience in technology for language education. In place of the all-too-common hype surrounding AI, they offer conversations in which they and occasional guests share their research and practice-informed perspectives, commentaries on others’ work, and their own professional and personal AI experiences. We are grateful for the support for Opening AI for Language Learning by the Language and Applied Research Center at San Diego State University and the Southern Area International Languages Network – SAILN – which is part of the California World Languages Project. Our producer and editor is Chris Brown. Mari Ocando Finol is the production coordinator of OAILL. Our music was composed by Tillmann Spiegl. Live conversations are moderated and the podcast is promoted by Shahnaz Ahmadeian. Episodes drop on Tuesday every 2 weeks. And remember: Artificial intelligence is no substitute for natural ignorance. Links: Phil Hubbard: https://web.stanford.edu/~efs/phil/ Mat Schulze: https://pantarhei.press/mat/ The PantaRhei.press blog about OAILL: https://pantarhei.press/oaill/ The SAILN website about OAILL: https://larc.sdsu.edu/oaill/

Folgen

  1. VOR 11 STD.

    Tesol goes AI

    In this episode, Phil reports to Mat on his adventures at the TESOL 2026 Convention in Salt Lake City, March 24-27. Phil talked with exhibitors and attended as many AI-focused presentations, panels, and posters as he could to get a sense of how AI, especially GenAI, is being presented by and to professional English language teachers. Mat comments on the value of panels and the conversations at conferences that take place during breaks and in the evening. General themesMix of skepticism and excitementSome hype and naive applications, but less than expectedHighlighting of ethics and critical AI Literacy (E.g., CALL Interest Section panel on AI ethics: https://submissions.mirasmart.com/TESOL2026/Itinerary/PresentationDetail.aspx?evdid=463 )AI-focused exhibitors, including small-scale startups but also DuolingoTwo standout presentations (among many!)Miriam Moore (University of North Georgia): four-part critical AI literacy framework. She recommends building a personal ethical checklist and conducting a privacy audit of AI platforms you use. https://submissions.mirasmart.com/TESOL2026/Itinerary/EventsAAG.aspx Jane Freeman (University of Toronto). Using a puppet-puppeteer analogy, she discusses the difference between cognitive offloading (for learners, AI as a shortcut to task completion—human is the puppet) and distributed cognition (AI as a collaborative partner—human is the puppeteer). She also noted (correctly) that “None of us are AI literate.” https://submissions.mirasmart.com/TESOL2026/Itinerary/EventsAAG.aspx ExhibitorsFlowspeak: Semi-structured scenarios where ESL students interact with an AI to move from B1 to B2 to C1 CEF levels. https://www.flowspeak.io/ PangeaChat: Text or audio chat with others with AI support; also has an option for independent interaction with a chatbot. https://pangea.chat/ Unicorn Tutor AI: Transforms an institutional curriculum into AI lessons supporting interactive practice. https://unicorntutor.com/ ESLVideo’s Chattybots: Activities such as conversations, role plays, picture descriptions conducted with an AI chatbot. https://eslvideo.com/ TESOL publications on AIChristina Kitson. AI Zip GuideSamaneh Eslamdoost. AI Enhanced ELT: Innovative Strategies to Transform your ClassroomWilliam Newman. AI No-Prep Activity CardsSee https://submissions.mirasmart.com/TESOL2026/Itinerary/EventsAAG.aspx for the full convention program.

    37 Min.
  2. AI and professional development according to Glenn Stockwell

    12. MAI

    AI and professional development according to Glenn Stockwell

    In this episode, Mat and Phil discuss a book chapter by Glenn Stockwell, in which he writes about professional development and learner training for AI, highlighting the importance of ongoing reflection, learning training, and documenting professional growth. Glenn is the editor in chief of the journal Computer Assisted Language Learning and a professor of Applied Linguistics at the Education University of Hong Kong. In this episode: Glenn Stockwell: https://www.eduhk.hk/en/experts/professor-stockwell-glennGlenn Stockwell's chapter: Professional development and learner training. https://castledown.online/reference/9781763711600-12/The book with Glenn’s chapter: Yijen Wang, Antonie Alm, and Gilbert Dizon (Eds.), Insights into AI and language teaching and learning. Castledown Publishers. https://castledown.online/reference/9781763711600/Mat’s chapter in the same book: ICALL and AI: Seven lessons from seventy years. https://doi.org/10.29140/9781763711600-02

    32 Min.
  3. Welcome to Sustained Integrated Professional Development

    28. APR.

    Welcome to Sustained Integrated Professional Development

    Language teachers can build their AI competence through the seven guiding principles of Sustained Integrated Professional Development. From starting small to taking a learner’s perspective, from reflecting critically to working with students and peers, as AI continues to evolve. In this episode: Principles of GenAI-SIPD by Phil Hubbard and Mat Schulze: https://www.igi-global.com/gateway/article/full-text-html/378304 Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective teacher professional development. Learning Policy Institute. DOI: 10.54300/122.311 https://learningpolicyinstitute.org/sites/default/files/product-files/Effective_Teacher_Professional_Development_REPORT.pdfMatherson, L. H., Wilson, E. K., & Wright, V. H. (2014). Need TPACK? Embrace sustained professional development. Delta Kappa Gamma Bulletin, 81(1).Mollick, E. (2024) Co-Intelligence. Living and Working with AI. https://www.penguinrandomhouse.com/books/741805/co-intelligence-by-ethan-mollick/

    31 Min.
  4. GenAI Stuff you need to know now (part 2)

    14. APR.

    GenAI Stuff you need to know now (part 2)

    Mat and Phil return with six additional knowledge areas and skills that language teachers need to navigate AI thoughtfully, including course and lesson creation, assessment, and student misconduct, highlighting the importance of teacher awareness, transparency, and professional judgment in a rapidly evolving landscape. In this episode: Hubbard and 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

    45 Min.
  5. GenAI stuff you need to know now (part 1)

    31. MÄRZ

    GenAI stuff you need to know now (part 1)

    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/378304UNESCO. (2024). AI competency framework for teachers. UNESCO Publishing. Available at https://unesdoc.unesco.org/ark:/48223/pf0000391104Educause 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

    36 Min.
  6. What the LLM?

    17. MÄRZ

    What the LLM?

    What is a large language model (LLM), actually? How do these systems work? Why can they feel like human conversation partners, and why is that perception misleading? Mat and Phil open the podcast by answering these questions, and discussing the key implications for language teaching and learning. In this episode: Phil Hubbard: https://web.stanford.edu/~efs/phil/Mat Schulze: https://PantaRhei.press/matEmily Bender: https://faculty.washington.edu/ebender/Open-access position paper on Sustained Integrated Professional Development for GenAI (GenAI-SIPD): https://www.igi-global.com/gateway/article/378304

    40 Min.
  • 6 Folgen

Info

Aimed at language educators seeking clarity, practical insights, and critical reflections in the rapidly changing AI landscape, the Opening AI for Language Learning (OAILL) podcast explores the evolving intersection of linguistics, pedagogy, and AI in language teaching and learning. Initiated by the Language and Applied Research Center at San Diego State University (SDSU-LARC), it features hosts Mat Schulze, Professor of German and Director of SDSU-LARC, and Phil Hubbard, Senior Lecturer Emeritus at the Stanford University Language Center, longtime colleagues with decades of experience in technology for language education. In place of the all-too-common hype surrounding AI, they offer conversations in which they and occasional guests share their research and practice-informed perspectives, commentaries on others’ work, and their own professional and personal AI experiences. We are grateful for the support for Opening AI for Language Learning by the Language and Applied Research Center at San Diego State University and the Southern Area International Languages Network – SAILN – which is part of the California World Languages Project. Our producer and editor is Chris Brown. Mari Ocando Finol is the production coordinator of OAILL. Our music was composed by Tillmann Spiegl. Live conversations are moderated and the podcast is promoted by Shahnaz Ahmadeian. Episodes drop on Tuesday every 2 weeks. And remember: Artificial intelligence is no substitute for natural ignorance. Links: Phil Hubbard: https://web.stanford.edu/~efs/phil/ Mat Schulze: https://pantarhei.press/mat/ The PantaRhei.press blog about OAILL: https://pantarhei.press/oaill/ The SAILN website about OAILL: https://larc.sdsu.edu/oaill/

Informationen

  • Erstellt von
    Mathias Schulze, Philip Hubbard
  • Jahre aktiv
    2026
  • Folgen
    6
  • Bewertung
    Unbedenklich
  • Copyright
    © Schulze & Hubbard, 2026
  • Sendungswebsite
    Opening AI for Language Learning