WIP: Investigating the Use of AI Chatbots by Undergraduate Computer Science Students

This work in progress paper investigates the use of AI chatbots by undergraduate computer science students learning English as a second language in Japan. The study employs a mixed-methods approach, combining qualitative surveys and interviews with quantitative clustering analysis. The objectives are to identify the types of AI chatbots used, determine their usage patterns, and explore the benefits and challenges associated with their use in language learning. The qualitative data collection (surveys, n=96) has been completed, while interviews and quantitative analysis are ongoing. The study aims to identify distinct clusters of AI chatbot users and their characteristics, highlight challenges, and contribute to the growing knowledge on AI application in STEM students studying a second language. Future research should explore long-term effects, optimal balance between AI-assisted and human-led instruction, and guidelines for integrating AI chatbots in language learning curricula.