Individualized Training Model of College Teachers Based on Artificial Intelligence Platforms: An Empirical Study

Abstract

The field of AI is developing rapidly, as is the convergence of AI and educational disciplines. In the field of teacher training in colleges, how to use artificial intelligence, personalized to improve the teaching ability, scientific research ability of teachers in colleges and universities, has become a priority. This study explores how to construct a personalized training model for teachers in colleges Based on artificial intelligence platforms and personalized recommended algorithms, and measures the effectiveness of this model. At a university in China, there are 23 faculty for two-week teacher training based on the “xtangx” AI platform, and the training process makes full use of both the AI platform and AI tools. The evaluation of training effectiveness was analyzed using a combination of qualitative and quantitative analysis. The results showed that: (1) more than 95% of teachers believed that the use of AI platforms, can enhance the training effect. (2) Training was able to meet individualized learning needs with good overall satisfaction. The model provided in this study is meaningful for enhancing the advantages of talents training and scientific research in Colleges and universities, and promoting the application of artificial intelligence technology.