Mobile-Based Chatbot to Scaffold Foreign Language Learners' Self-Regulated Learning

초록

Despite the rapid advancements in artificial intelligence (AI) technology in education, much remains to be learned on how self-regulated learning (SRL) is facilitated using mobile-based AI chatbots. To fill this gap, our study embarked on an exploratory investigation using a mobile-based chatbot designed to promote SRL behaviors among foreign language learners. The participants in the study were 11 adult foreign language learners from the United States and South Korea who interacted with the chatbot over a four-week duration on their mobile phones. Data were collected from chatbot interaction logs, pre- and post-SRL surveys, and a system usability survey. The findings revealed that learners with higher levels of SRL skill improvement interacted with more comprehensive and targeted responses, including specific learning strategies and reflective thoughts regarding their learning processes. We also found an overall positive perceived usability toward using a mobile-based SRL chatbot and a moderate correlation between perceived usability and SRL skill improvement. Open-ended survey data provided further suggestions on chatbot improvements when developing a chatbot system for scaffolding SRL processes. This work contributes to the burgeoning field of AI in education and provides directions for future research for optimizing chatbot-driven SRL interventions.

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