RETRACTED: Simulation of psychological course satisfaction based on android mobile system and neural network

Abstract

Adolescents usually show a significant reduction in their inner motivation in their careers. Following self-determination theory, the traditional environment meets young people's three basic psychological needs when they mature their needs, namely autonomy, ability, and relevance. It is assumed that it is not enough. Existing systems are difficult-have a process to identify and computational analysis of psychology course scores. The proposed studies are inconsistent and dissatisfied with the online learning experience, combining a Neural Network analysis course level with a satisfying Android-based mobile phone system, or calculating a latent trait model of mental course scores. Course learning, organization, and evaluation: The findings identified three basic, satisfying components. The purpose of Neural Network is to verify and prepare the relationship between process satisfaction and professional identity and trust this relationship's mediating effect. It shows the strongest relationship of satisfaction, teaching psychological process variables, especially quality and expertise. Based on psychological variables, services, facilities, images, and research activities, Android smart systems are also important. Individual user characteristics, such as outcomes and attitudes, are related to psychological user satisfaction. Neural Network promote user matching of suitable thinking style psychology learning, psychological development course education quality and style, be accurate, and develop positive attitudes such as self-efficacy. For learning assistance, help learners will improve their satisfaction, including Android's intelligent system.