Intent Research on the Use of Generative AI by Student Teachers: An Integration Model Based on S-O-R and TAM

In November 2022, ChatGPT caused a global wave of human-computer interaction with its disruptive impact on text generation, transforming practices in education, especially in teacher training. Generative AI’s superior interactive intelligence and content creation capabilities are essential to facilitate a seamless transition to technology-driven education. What factors affect normal school students’ acceptance of generative AI? In this study, the intention of student teachers to use generative AI is discussed, and an integrated model based on the Stimulus-Bio-Response (S-O-R) framework and the Technology Acceptance model (TAM) is proposed. Then, a questionnaire survey was conducted on 343 student teachers. Through the path analysis of structural equation model, the structural model of the influencing factors of student teachers ‘willingness to use generative artificial intelligence was obtained. The model results showed that perceived usefulness, perceived ease of use and perceived control were the influencing factors of military student teachers’ willingness to use generative artificial intelligence. Further analysis found that teaching skills, adoption intention, teaching innovation, generative media, personalization, software support, perceived trust, community influence, perceived risk and decision-making authority were the stimulating factors of student teachers’ willingness to use generative artificial intelligence. Finally, this paper helped student teachers to use generative artificial intelligence in education scenarios from enhancing perceived usefulness, improving perceived ease of use, strengthening perceived control and broadening the education field of generative artificial intelligence.