Kedi Mo is a second-year Ed.D. student in Applied Linguistics at Teachers College, Columbia University, specializing in Language & Technology. He earned his M.A. in TESOL from the AL/TESOL program and currently serves as a doctoral fellow in the Community Language Program (CLP) and a planning committee member for the AIRiAL Conference.
Kedi is a language teacher-researcher with a strong interest in leveraging emerging technologies to support second language (L2) speaking development. He joined the L&T Research Group in January 2023, where he explores how innovative technological tools can enhance language assessment, teaching, and learning. During his gap year, he designed and evaluated technology-integrated lessons in local language programs in New York, experiences that shaped his research focus on the use of Automatic Speech Recognition (ASR) to support and assess L2 speaking. His broader research agenda lies at the intersection of language education and technology, with a particular emphasis on improving L2 Chinese speaking through ASR-informed assessment and feedback.