Artificial intelligence (AI) technology is applied to promote learning and teaching effectiveness. AI technology is being used to monitor teaching processes and to perform academic analysis and academic-level diagnosis. Thus, reconstructing an AI-assisted learning environment with interactive and smart learning has become a new task in education.

With AI-assisted learning environments, students’ learning behavior and their interaction with teachers can be automatically recorded for further study. AI technology such as predictive modeling, intelligent analytics, assistive technology, automated content analysis, and image analysis applied in education can help solve important educational problems and ensure quality education. The findings of previous studies can help promote the innovation of constructing a new learning environment with AI technology to improve the effectiveness of learning and teaching.

However, before constructing and implementing an AI-assisted learning environment, the learners’ willingness to accept (WTA) should be considered. For learning in AI-assisted environments, studies on learners’ attitudes toward AI technology are very important.

However, students’ real WTA classroom applications of AI have been ignored in education. Wang et al. (2020) proposed that AI technology applied in education should focus on the willingness of students, which is beneficial to make it effective. Lee (2019) also emphasized that the factors affecting students’ willingness should be explored from the perspective of student-oriented learning.

Thus, from the view of college students, the study aimed to examine the factors that affected their WTA AI-assisted learning environments. It is an important first step for the long-term effective application of AI technology in education.

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