Verifying the link of innovativeness to the confirmation-expectation model of ChatGPT of students in learning

The purpose of this study is to explore how innovativeness influences learners’ intentions to continue using ChatGPT.

Data from 260 valid respondents are gathered online and analyzed with structure equation modeling.

The findings of this study show that user satisfaction significantly enhances learners’ intention to continue using ChatGPT in their studies. Moreover, learners exhibit distinct continuance patterns based on their innovativeness toward ChatGPT.

These results help address the limitations of traditional expectation-confirmation theory in explaining the information systems expectation formation process.

The results also reflect the coming of flipping classrooms by generative artificial intelligence as a bottom-up innovation.