Mixed-methods research evaluates chatbot usability in STEM education with 37 Taiwanese students, indicating potential for improved learning experiences.
While generative artificial intelligence (AI) tools are gradually being integrated into educational practice, their actual usability in classroom settings remains insufficiently understood. This mixed-methods research was designed as a small-sample pilot study, offering preliminary insights to inform a future large-scale scientific evaluation. The following questions were explored: What are the contents, functions, and capabilities of AI-based chatbots in education? How do students evaluate the usability of a chatbot using BUS-15 metrics? The online developer system botpress.com was chosen as the framework to support physics education within STEM fields for upper-secondary students. A validated instrument, BUS-15, a commercial tool for measuring chatbot usability, was utilised in an educational setting to evaluate students’ user experience. In May 2025, 37 Taiwanese students used the developed AI chatbot. Cronbach’s α was 0.709, consistent with values typically observed for chatbots developed for business purposes. Based on the results, the chatbot met the students’ expectations. Accessibility emerged as a key determinant of chatbot success, although issues were noted with response times and conversational coherence. The findings also underscore the importance of evaluating a chatbot’s pedagogical value, specifically its potential to enhance learning experiences and support multilingual engagement.
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Gábor Fekets (2025) studied this question.
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