Design and Development of Physical Education Teaching Evaluation Mode Introducing Artificial Intelligence

Under the background of big data, with the rapid development of the Internet and the Internet of Things, more and more informatization is used in physical education, and the forms of physical education teaching information relying on the Internet are becoming increasingly diversified. In order to improve the evaluation effect of physical education teaching, the reverse cloud generator in one-dimensional cloud model is used to analyze the collected original data, and the digital characteristics of the cloud to which the evaluation indexes of teachers and students belong, and the specific algorithm of the reverse cloud generator is obtained. Through the method model proposed in this paper, remote autonomous physical education teaching and physical training methods can be realized, and effective identity recognition, privacy protection, sports data collection and sports injury prevention can be achieved. Combined with experimental research, it is verified that the evaluation model proposed in this paper has a user experience evaluation of above 85 points, the system experience effect is better, and the system evaluation results are more accurate.