Konferenzbeitrag
Facilitation chatbots enhance student confidence in learning platforms
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Datum
2024
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Gesellschaft für Informatik e.V.
Zusammenfassung
The recent development of Large Language Models (LLMs) in the last two years has enhanced the potential of creating facilitation chatbots that enhance creativity and productivity in the online community. However, the impact of facilitation chatbots on learning confidence is yet to be clearly articulated. In this study, we introduce facilitation agents that implement understanding and content-generation capabilities on learning platforms with the participation of undergraduate students. It explores the potential of LLMs to enrich pre- and post-lecture discussions by providing diverse viewpoints and stimulating engagement with lecture contents among participants. In this paper, we investigated the effect of facilitation chatbots on students' learning confidence during synchronous e-learning courses. In the control experimental study (n=80), we found that chatbots induced learning confidence most effectively, making students experience strong confidence in the learning platform, likely due to the chatbot's contextual knowledge and human touch. Our study provides insight into creating effective chatbots to enhance students' confidence, skills, benefits, and involvement in the pre- and post-learning processes.