Application of Artificial Intelligence in Academic Mental Health and Employment Evaluation

Introduction

The process of changing the world by the power of science and technology is accelerating, and the times are changing with each passing day. Under such a background, people are increasingly dependent on the convenience brought by the Internet and its derivatives, and even the academic research and education industries are facing great challenges and influences while injecting fresh blood. Due to the continuous expansion of enrollment and the adjustment of educational system in recent years, college students who graduate every year are faced with fierce competition for job hunting, and employment difficulty has become a major social problem. This problem not only plagues undergraduates, but also makes postgraduates have psychological problems such as employment anxiety, irritability and depression due to economic interests. With the pressure of various factors, the academic psychology of graduate students is gradually deviated, and the lack of scientific research ability makes it more difficult for them to find jobs, forming a vicious circle that is difficult to break. This is very unfavorable for the country to train practical reserve talents. In order to better explore the causes of this situation and deal with decision-making problems, you can read or refer to a large number of relevant materials. Convenience dependent psychology refers to the psychological state that college students pursue a convenient and fast way of life when looking for a job, place the hope of looking for a job on their parents and choose to work near home.

Psychological stress questionnaire was used to investigate the status quo of psychological stress and related influencing factors of graduate students during the enrollment expansion period (Yu Yulan 2019). Analyzing the employment status of graduate students, finding out the reasons and countermeasures of “employment dilemma” is helpful to open up the future career of graduate students (Liu Qian 2018). This paper analyzes the influence of employment anxiety on college graduates' physical and mental health and work, and makes strategic intervention (Liu Mei 2020). Correct multiple unreasonable beliefs about learning and try reasonable emotional therapy to relieve students' test anxiety (Wang Yanan 2020). The herd psychological matrix and weighted similarity method are used to improve the accuracy of recommendation algorithm (Zhang Qian 2019). Evaluate users' mental health status online based on multi-feature fusion, and find potential patients with mental health problems in advance (Liu Dexi 2019). Using MVC pattern SSH framework to design college students' mental health tracking system (You Qi 2016). From the perspective of employment environment and college students' personal integrity, this paper studies the influencing mechanism of academic integrity (Han Xu 2019). With the expansion of enrollment scale, this paper discusses the contradiction between academic research and employment difficulties of graduate students (Huang Yekun 2012). Under all kinds of preference information, considering the psychological behavior of agents, a matching optimization model with the goal of maximizing the foreground value of each agent is solved (Zhang Di 2018). Based on the improved WOA-RFC random forest, the psychological evaluation of college students was carried out (Yang Huanhuan 2019). Build Hadoop platform, improve four algorithms, and use big data to dispatch smart grid information (Zheng Shanqi 2018). Based on ASP.NET technology and B/S architecture, a college students' mental health management system is implemented (Wang Yu 2018). In-depth artificial intelligence human-computer interaction mode, combined with biosensing and psychological counseling technology, to build campus mental health (Kuo Yi 2021). Integrating various technical resources of the Internet, this paper explores the environment of mental health education for postgraduates from the perspective of positive psychology (Zheng Aiming 2014). In the second chapter of the article, the relevant basic theory, especially the analysis of college students' psychological state and employment, and the application of artificial intelligence. The third chapter analyzes the application of intelligent mental health analysis model. The fourth chapter carries on the experimental simulation to the related theory and the application, the result indicated that it has the good application prospect.