Constructing an AI-driven teacher training model for vocational education: teachers’ information literacy and teaching competence at the same time

With the integration of various emerging technologies represented by artificial intelligence into the field of education, the education sector has set off a research boom in wisdom education, forming a series of new forms of education such as wisdom classrooms and wisdom teaching. This paper takes education informatics as the connecting point to sort out the logical connection between teachers’ information literacy and smart education. The intelligent system, various subjects, and complicated knowledge domains are united to form a specific objective relationship and multivariate correlation network to construct a specific field of AI-enabled teacher training. Embedding the training process of vocational education teachers in each stage of the AI-assisted teacher training system, we examined their learning mood, concentration, and the impact on their information literacy ability under AI-driven. AI-driven interactions at all stages could greatly awaken learners’ emotions, which could enable teachers to focus more on training, as shown in the results. In addition, the composite mean value of teachers’ information literacy under AI-driven was 4.10, which was significantly higher than that of 3.42 before use (p<0.001). AI technology-enabled vocational teacher training can be a significant direction for teacher training reform.