VI Consortium Workshop for Language Teaching and Learning (CLTL)

October 6-7, 2023

In Person

Join us at Princeton for an enriching experience at the VI Consortium Workshop for Language Teaching and Learning (CLTL), dedicated to exploring the transformative role of Artificial Intelligence (AI) in language teaching, learning, and assessment. We offer a collaborative platform for language educators of diverse backgrounds and research interests to delve deep into the forefront of AI-powered language education. Participants will actively engage in interactive sessions, exploring tools such as chatbots, virtual tutors, and automated assessments. Our three-panel sessions, each encompassing 20-minute practical discussions, will unfold the multifaceted applications and potentials of AI in language instruction. With insights from educators across all member institutions and guest contributions from some external instructors, this workshop promises a holistic look at the present and future of language education. Join us to pioneer the next chapter of AI-enhanced language learning and teaching!

Browse Session Program 

Plenary Speaker

Session Speakers

Andrea Capra
Princeton University
Ben Johnston
Princeton University
Angela Lee-Smith
Yale University
Adriana Merino
Princeton University
Alyssia Miller
Colorado State University
Nicole Mills
Harvard University
Priya Panday Shukla
Washington State University
Claudia Quevedo-Webb
Northwestern University
Shiva Rahmani
The University of Chicago
Juliano Saccomani
The University of Chicago
Zhirong Wang
Columbia University
Ezgi Yalcin
Yale University
Giovanni Zimotti
University of Iowa
Szymon Zuberek
Columbia University

Organizers

Adriana Merino
Princeton University
Anna Alsina Naudi
Princeton University
Raquel Mattson-Prieto
Princeton University
Paloma Moscardó
Princeton University
Verónica Moraga Guerra
The University of Chicago
Stéphanie Gaillard
Brown University

Sponsors

Acknowledgments

  • Thank you to the Consortium for placing their trust in us to organize this workshop.

  • Special thanks go to Miguel Rodríguez, from Princeton OIT, for his invaluable help in designing our webpage.