RETRACTED: Analysis of psychological education factors based on computer software and hardware collaboration and data mining

Abstract

Psych education is a process of development through which he gradually adapts himself to his physical and mental environment in various ways, through which he grew up from childhood to adulthood. This feature provides students with a profile of how their behavior and academic performance are affected in their educational life. At this stage of software and hardware development, analyzing data mining is difficult to analyze at the level of psychological education. More accurate and timely delivery of computer hardware and software integration can help with these issues and contracts with leads in the previous system. Therefore, the proposed Deep Learning studies recommend using data mining techniques to provide open issues, current related solutions, and computer software and hardware recommendations. The proposed results emphasized the importance of using new educational model mining techniques for data related to students' psychological evaluation. Educational psychology has accumulated some observations in computational students. In contrast, psychology is relevant to computer education and emphasizes a wide range of topics related to different psychological education stages to discussions deep learning. In this review, a data collection of randomly calculated psychological databases of applications is based on stochastic pattern recognition analysis. The proposed technology includes computer software and hardware collaboration that provide psychological education to retrieve data similar to different pre-stored data types.