Opening AI for Language Learning
Claim This Podcastby Mathias Schulze, Philip Hubbard
Podcast Overview
<p>Aimed at language educators seeking clarity, practical insights, and critical reflections in the rapidly changing AI landscape, the <strong>Opening AI for Language Learning (OAILL) </strong>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.</p><p>We are grateful for the support for <strong>Opening AI for Language Learning</strong> 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.</p><p>Our producer and editor is Chris Brown. Mari Ocando Finol is the production coordinator of <strong>OAILL</strong>. Our music was composed by Tillmann Spiegl. Live conversations are moderated and the podcast is promoted by Shahnaz Ahmadeian.</p><p>Episodes drop on Tuesday every 2 weeks.</p><p>And remember: Artificial intelligence is no substitute for natural ignorance.</p><p><strong>Links:</strong></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://web.stanford.edu/~efs/phil/">Phil Hubbard: https://web.stanford.edu/~efs/phil/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://pantarhei.press/mat/">Mat Schulze: https://pantarhei.press/mat/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://pantarhei.press/oaill/">The PantaRhei.press blog about OAILL: https://pantarhei.press/oaill/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://larc.sdsu.edu/oaill/">The SAILN website about OAILL: https://larc.sdsu.edu/oaill/</a></p>
Language
🇺🇲
Publishing Since
3/17/2026
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Recent Episodes
July 7, 2026
AI as the Imitation Game
<p>What does it really mean for a machine to "think"? In this episode, Mat and Phil explore the life and legacy of pioneering mathematician Alan Turing, whose work laid the foundation for modern computing and artificial intelligence. From the origins of the Turing Test to whether ChatGPT has truly passed it, the hosts unpack how Turing's ideas provide a valuable framework for thinking critically about GenAI, human communication, and language learning. They also encourage educators to experiment with GenAI tools, reflect on their own interactions with them, and consider both their capabilities and limitations.</p><p>In this episode:</p><ul><li>Alan Turing (1936), On Computable Numbers, with an Application to the Entscheidungsproblem. Available at <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf">https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf</a></li><li>Alan Turing (1950), Computing Machinery and Intelligence. Available at <a target="_blank" rel="noopener noreferrer nofollow" href="https://courses.cs.umbc.edu/471/papers/turing.pdf">https://courses.cs.umbc.edu/471/papers/turing.pdf</a></li><li>The Imitation Game (2014), film directed by Morten Tyldum.</li><li>John Searle's Chinese Room. Available at <a target="_blank" rel="noopener noreferrer nofollow" href="https://rintintin.colorado.edu/~vancecd/phil201/Searle.pdf">https://rintintin.colorado.edu/~vancecd/phil201/Searle.pdf</a></li></ul>
June 23, 2026
To AI or Not to AI?
<p>Exploring two contrasting perspectives on AI in education by Andreas Horn and Emily Bender, Mat and Phil reflect on AI’s promises and pitfalls, what artificial intelligence really means, and how language educators can respond thoughtfully to a technology that is already shaping education.</p><p>In this episode:</p><ul><li>Both texts are available at <a target="_blank" rel="noopener noreferrer nofollow" href="https://unesdoc.unesco.org/ark:/48223/pf0000395236">https://unesdoc.unesco.org/ark:/48223/pf0000395236</a> (page numbers below) The whole booklet is UNESCO (2025) <strong>AI and the future of education: disruptions, dilemmas and directions.</strong></li><li>Andreas Horn: <strong>Rethinking Education in the Age of Artificial Intelligence</strong> (page 38)</li><li>Emily Bender: <strong>We do Not Have to Accept AI (much less GenAI) as Inevitable in Education</strong> (page 41)</li><li>Emily M. Bender: <a target="_blank" rel="noopener noreferrer nofollow" href="https://faculty.washington.edu/ebender/">https://faculty.washington.edu/ebender/</a></li><li>Andreas Horn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/andreashorn1/">https://www.linkedin.com/in/andreashorn1/</a></li></ul>
June 9, 2026
OAILL in Hong Kong
<p>Mat and Phil welcome their first-ever guest, Glenn Stockwell, to discuss professional development, learner training, and the ethical, legal, and policy challenges of generative AI in language education. The conversation also explores AI literacy, academic publishing, the Gartner Hype Cycle, and emerging research on AI's impact on language learning.</p><p>In this episode:</p><ul><li>Glenn Stockwell: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.eduhk.hk/en/experts/professor-stockwell-glenn">https://www.eduhk.hk/en/experts/professor-stockwell-glenn</a></li></ul><p>Glenn's papers:</p><ul><li><strong>Professional development and learner training for AI.</strong> In Y. Wang, A. Alm, & G. Dizon (Eds.), Insights into AI and language teaching and learning (pp. 203–218). Castledown Publishers. <a target="_blank" rel="noopener noreferrer nofollow" href="https://archives.castledown.com.au/chapters/ai-insights/9781763711600-12.pdf">https://archives.castledown.com.au/chapters/ai-insights/9781763711600-12.pdf</a></li><li><strong>Legal, affective, and policy dimensions of the AI ecosystem in language education.</strong> International Journal of Computer-Assisted Language Learning and Teaching, 16(1), 1–14 <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.igi-global.com/gateway/article/404017">https://www.igi-global.com/gateway/article/404017</a></li></ul>
9 total episodes available
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- What is Opening AI for Language Learning?
<p>Aimed at language educators seeking clarity, practical insights, and critical reflections in the rapidly changing AI landscape, the <strong>Opening AI for Language Learning (OAILL) </strong>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.</p><p>We are grateful for the support for <strong>Opening AI for Language Learning</strong> 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.</p><p>Our producer and editor is Chris Brown. Mari Ocando Finol is the production coordinator of <strong>OAILL</strong>. Our music was composed by Tillmann Spiegl. Live conversations are moderated and the podcast is promoted by Shahnaz Ahmadeian.</p><p>Episodes drop on Tuesday every 2 weeks.</p><p>And remember: Artificial intelligence is no substitute for natural ignorance.</p><p><strong>Links:</strong></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://web.stanford.edu/~efs/phil/">Phil Hubbard: https://web.stanford.edu/~efs/phil/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://pantarhei.press/mat/">Mat Schulze: https://pantarhei.press/mat/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://pantarhei.press/oaill/">The PantaRhei.press blog about OAILL: https://pantarhei.press/oaill/</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://larc.sdsu.edu/oaill/">The SAILN website about OAILL: https://larc.sdsu.edu/oaill/</a></p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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