Opening AI for Language Learning

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/