Multimedia Cloud Teaching Method of Psychological Teaching for College Students Based on Artificial Intelligence Algorithm
Abstract
The psychological teaching methods of college students in the artificial intelligence era need to keep pace with the times. Therefore, this paper uses artificial intelligence algorithms to construct a psychological teaching model for college students based on the current teaching situation of college students, and sets the functional modules according to actual teaching needs, and uses the Poincare scatter diagram method to extract non-linear features of HRV to identify stress states. Moreover, this paper uses statistical analysis to extract time-domain feature values, evaluates heart rate variability by calculating statistical indicators of RR interval series, and performs frequency-domain analysis by AR model method. In addition, this article verifies the performance of the multimedia cloud teaching system for college student psychology teaching. The research results show that the teaching system constructed in this paper has good practical effects.