A Mixed Method Study on MOOC Learners’ Behavioral Intention to Use an Educational Chatbot

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Abstract

Despite the potential of educational chatbots, their usage in massive open online courses (MOOCs) remains low. Using a mixed-methods approach (n=86), this study examined factors influencing learners' Behavioral Intention (BI) to use the chatbot in the MOOC. Qualitative coding identified Social Presence (SP) as a critical factor in their attitude, and quantitative analysis showed that SP moderately predicts BI. Learners are more likely to use chatbots when they perceive a social connection during chatbot interactions. These findings highlight that human-like interaction styles are essential for enhancing learner engagement and sustaining chatbot adoption in online learning environments.

Authors

• Jueun Shin, Florida State University

• Songhee Han, Florida State University