Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

Abstract

At present, the existing dynamic early-warning model of college students' psychological crisis cannot obtain psychological characteristics, and the error of psychological crisis prediction is large. The early-warning result of psychological crisis appears big deviation. A new dynamic early-warning model of college students' psychological crisis is designed based on characteristic attributes. In the process of modeling negative psychological crisis of college students, the fusion constraint fuzzy theory obtains the essence of college students' psychology from subjective and objective reasons, gives the different stages of college students' psychology, obtains the corresponding information entropy of the behavior hindrance in each stage of college students' psychology, and calculates the threshold value of the behavior tendency of college students' psychology. Based on the psychological state information of college students obtained by perception, the fuzzy comprehensive early-warning data model of feature attributes is constructed. According to the fuzzy comprehensive early-warning method and the early-warning index system, the early-warning factor set of college students' psychological crisis is constructed, and the dynamic early-warning model of college students' psychological crisis is constructed. Experimental results show that the mining results are consistent with the actual situation, and the grey relational degree, small error probability, and mean square ratio index are better than the present model.

Research on Abnormal Behavior Prediction by Integrating Multiple Indexes of Student Behavior and Text Information in Big Data Environment

“…However, in the process of data processing, the traditional analysis and early warning of abnormal student behaviors focus more on the analysis and mining of historical data, which lacks dynamics and timeliness [47]. Cao et al [48] established a scientific student portrait evaluation index system, collected various data on college students' academic performance, normalized the collected data, determined the weight of each evaluation index through the analytic hierarchy process (AHP), and then A fuzzy evaluation model based on big data is used to evaluate various dimensions of college student's academic performance.…”

Retracted: Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”