Reducing transactional distance with AI: Examining the role of chatbots in online student satisfaction and achievement

This study explored graduate students’ perceptions of an AI-powered chatbot integrated into an online education course, guided by Moore’s (1997) Theory of Transactional Distance. A total of 47 students completed a survey assessing Dialogue, Structure, Learner Autonomy, Satisfaction, Perceived Achievement, and Intent to Continue Use. Regression analyses revealed that all three transactional distance dimensions significantly predicted student satisfaction, with Dialogue as the strongest predictor. Dialogue and Structure were significant predictors of perceived achievement, while Learner Autonomy significantly predicted students’ intention to use chatbots in future courses. Qualitative responses reinforced these findings, emphasizing the chatbot’s helpfulness and responsiveness. Overall, results suggest that AI chatbots can serve as effective tools to reduce transactional distance and enhance student engagement in online learning environments.