DISSERTATION AWARDS
Announcing the Winners of the Mango Languages Dissertation Award 2025
Meet the award winners:
Sungeun Choi
Applied Linguistics at Northern Arizona University
Comparing L2 Interactional Competence and Learner Experience in Oral Interactions with Embodied AI Chatbots versus Human Interlocutors
Sungeun’s research investigates the effectiveness of embodied AI chatbots (also known as “avatars”) as tools for second language learners to develop interactional competence, which is the ability to communicate effectively in real-time conversations. While AI offers a promising solution for language practice, we still know little about how this technology compares to traditional human interaction. This study directly examines how English as a Second Language learners’ interactional competence differs when they interact with an AI chatbot versus a human partner.
In addition to performance, the study will explore learners’ perceptions of the experience, including their comfort, anxiety, and sense of connection. Seventy English as a Second Language learners at a university will participate in role-play tasks with both an AI avatar and a human. Their performance will be assessed and their feedback will be collected through questionnaires and interviews. The findings will provide valuable insights for educators and technology developers, aiming to enhance language education by effectively leveraging digital tools to help learners become more confident communicators.
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A big congratulations to Sungeon! And thank you again to all of the applicants — you are the future of language learning technology!
Note: This article was written with contributions from Sungeon Choi.